subject:(Estimation theory)

Rutgers University

1. Lee, Soo Youn, 1974-. Lord's Wald test for detecting DIF in multidimensional IRT models: a comparison of two estimation approaches.

Degree: PhD, Education, 2015, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/47463/

►

Lord’s Wald test for differential item functioning (DIF) has not been extensively studied particularly in the context of multidimensional IRT (MIRT) framework. Lord’s Wald test… (more)

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Lee, Soo Youn, 1. (2015). Lord's Wald test for detecting DIF in multidimensional IRT models: a comparison of two estimation approaches. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47463/

Chicago Manual of Style (16^th Edition):

Lee, Soo Youn, 1974-. “Lord's Wald test for detecting DIF in multidimensional IRT models: a comparison of two estimation approaches.” 2015. Doctoral Dissertation, Rutgers University. Accessed April 10, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/47463/.

MLA Handbook (7^th Edition):

Lee, Soo Youn, 1974-. “Lord's Wald test for detecting DIF in multidimensional IRT models: a comparison of two estimation approaches.” 2015. Web. 10 Apr 2021.

Vancouver:

Lee, Soo Youn 1. Lord's Wald test for detecting DIF in multidimensional IRT models: a comparison of two estimation approaches. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Apr 10]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47463/.

Council of Science Editors:

Lee, Soo Youn 1. Lord's Wald test for detecting DIF in multidimensional IRT models: a comparison of two estimation approaches. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47463/

Hong Kong University of Science and Technology

2. Wang, Xi. Essays on semiparametric and nonparametric estimation of nonlinear panel data models.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-80185 ; https://doi.org/10.14711/thesis-b1514972 ; http://repository.ust.hk/ir/bitstream/1783.1-80185/1/th_redirect.html

► This dissertation focuses on the semiparametric estimation of a panel data model without monotonicity or separability and the nonparametric estimation of a generalized transformation model.… (more)

▼ This dissertation focuses on the semiparametric estimation of a panel data model without monotonicity or separability and the nonparametric estimation of a generalized transformation model. The first chapter considers a generalized single index panel data model without monotonicity or separability. Although monotonicity and/or separability assumptions are commonly imposed in a panel data model to identify the parameters of interest, they usually fail and thus are unideal in practice. For the generalized model, we analyze its identified features under a stationary condition on the idiosyncratic errors, and provide sufficient conditions for point identification of β in several cases. We also establish a matching approach to estimate β under the point identification. The proposed estimator is shown to be asymptotically normal with a convergence rate approaching √n. In addition, a dimension free estimator is developed for the stayers' local average response (LAR) by employing the estimate of β. The basic idea of our method can also apply to a binary choice model. A series of Monte Carlo studies are conducted and verify that our estimator has a good performance in a finite sample. An empirical study of Engel curve suggests the pratical implication of our proposed method. The second chapter considers a panel data generalized transformation model with an additive structure, Λ(y_it)=∑^d_k=1m_k(X_itk)+α_i+ε_it in which both the structural functions, m_k ,k=1,⋅⋅⋅,d, and the transformation function, Λ, are unspecified. We propose an estimation procedure to nonparametrically estimate m_k in the model. Our estimator has an explicit expression and is easily computed. It is shown to be uniformly consistent and asymptotically normal. We also extend our method to the model without an additive structure and a cross-sectional case. In addition, an alternative method, two stage estimation, is developed for the cross-section generalized transformation model without an additive structure. Monte Carlo simulations are conducted to illustrate our estimator in the panel data case with an additive structure.

Subjects/Keywords: Parameter estimation ; Panel analysis ; Estimation theory

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APA (6^th Edition):

Wang, X. (2015). Essays on semiparametric and nonparametric estimation of nonlinear panel data models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-80185 ; https://doi.org/10.14711/thesis-b1514972 ; http://repository.ust.hk/ir/bitstream/1783.1-80185/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Xi. “Essays on semiparametric and nonparametric estimation of nonlinear panel data models.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed April 10, 2021. http://repository.ust.hk/ir/Record/1783.1-80185 ; https://doi.org/10.14711/thesis-b1514972 ; http://repository.ust.hk/ir/bitstream/1783.1-80185/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Xi. “Essays on semiparametric and nonparametric estimation of nonlinear panel data models.” 2015. Web. 10 Apr 2021.

Vancouver:

Wang X. Essays on semiparametric and nonparametric estimation of nonlinear panel data models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2021 Apr 10]. Available from: http://repository.ust.hk/ir/Record/1783.1-80185 ; https://doi.org/10.14711/thesis-b1514972 ; http://repository.ust.hk/ir/bitstream/1783.1-80185/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Essays on semiparametric and nonparametric estimation of nonlinear panel data models. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-80185 ; https://doi.org/10.14711/thesis-b1514972 ; http://repository.ust.hk/ir/bitstream/1783.1-80185/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

3. Liu, Xiaogang. Spectral characterization and spectral estimation of some graphs.

Degree: 2011, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html

► This thesis studies two subjects. One is the spectral characterization problem, the other is the spectral estimation probelm. For the former, we mainly investigate the… (more)

Subjects/Keywords: Graph theory ; Spectral theory (Mathematics) ; Estimation theory

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APA (6^th Edition):

Liu, X. (2011). Spectral characterization and spectral estimation of some graphs. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Xiaogang. “Spectral characterization and spectral estimation of some graphs.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed April 10, 2021. http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Xiaogang. “Spectral characterization and spectral estimation of some graphs.” 2011. Web. 10 Apr 2021.

Vancouver:

Liu X. Spectral characterization and spectral estimation of some graphs. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2021 Apr 10]. Available from: http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu X. Spectral characterization and spectral estimation of some graphs. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

4. Zhou, Julie. Bounded-influence R-estimators in the linear model.

Degree: MS, Department of Statistics and Applied Probability, 1992, University of Alberta

URL: https://era.library.ualberta.ca/files/vd66w2710

Subjects/Keywords: Estimation theory.

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APA (6^th Edition):

Zhou, J. (1992). Bounded-influence R-estimators in the linear model. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/vd66w2710

Chicago Manual of Style (16^th Edition):

Zhou, Julie. “Bounded-influence R-estimators in the linear model.” 1992. Masters Thesis, University of Alberta. Accessed April 10, 2021. https://era.library.ualberta.ca/files/vd66w2710.

MLA Handbook (7^th Edition):

Zhou, Julie. “Bounded-influence R-estimators in the linear model.” 1992. Web. 10 Apr 2021.

Vancouver:

Zhou J. Bounded-influence R-estimators in the linear model. [Internet] [Masters thesis]. University of Alberta; 1992. [cited 2021 Apr 10]. Available from: https://era.library.ualberta.ca/files/vd66w2710.

Council of Science Editors:

Zhou J. Bounded-influence R-estimators in the linear model. [Masters Thesis]. University of Alberta; 1992. Available from: https://era.library.ualberta.ca/files/vd66w2710

Oregon State University

5. Wildman, Valerie Jean. A new estimator of effective area surveyed in wildlife studies.

Degree: PhD, Statistics, 1983, Oregon State University

URL: http://hdl.handle.net/1957/41303

► A new estimator of effective area surveyed is proposed for use in estimating population sizes or densities. The estimator is based on the cumulative distribution… (more)

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Wildman, V. J. (1983). A new estimator of effective area surveyed in wildlife studies. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/41303

Chicago Manual of Style (16^th Edition):

Wildman, Valerie Jean. “A new estimator of effective area surveyed in wildlife studies.” 1983. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/41303.

MLA Handbook (7^th Edition):

Wildman, Valerie Jean. “A new estimator of effective area surveyed in wildlife studies.” 1983. Web. 10 Apr 2021.

Vancouver:

Wildman VJ. A new estimator of effective area surveyed in wildlife studies. [Internet] [Doctoral dissertation]. Oregon State University; 1983. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/41303.

Council of Science Editors:

Wildman VJ. A new estimator of effective area surveyed in wildlife studies. [Doctoral Dissertation]. Oregon State University; 1983. Available from: http://hdl.handle.net/1957/41303

Oregon State University

6. Poulsen, Neil Kenneth. Large sample efficiencies of invariant quadratic unbiased estimators.

Degree: PhD, Statistics, 1982, Oregon State University

URL: http://hdl.handle.net/1957/42022

► This dissertation examines limiting efficiencies of quadratic unbiased estimators for the variance in the two variance component mixed model. The set of quadratic unbiased estimators… (more)

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Poulsen, N. K. (1982). Large sample efficiencies of invariant quadratic unbiased estimators. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/42022

Chicago Manual of Style (16^th Edition):

Poulsen, Neil Kenneth. “Large sample efficiencies of invariant quadratic unbiased estimators.” 1982. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/42022.

MLA Handbook (7^th Edition):

Poulsen, Neil Kenneth. “Large sample efficiencies of invariant quadratic unbiased estimators.” 1982. Web. 10 Apr 2021.

Vancouver:

Poulsen NK. Large sample efficiencies of invariant quadratic unbiased estimators. [Internet] [Doctoral dissertation]. Oregon State University; 1982. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/42022.

Council of Science Editors:

Poulsen NK. Large sample efficiencies of invariant quadratic unbiased estimators. [Doctoral Dissertation]. Oregon State University; 1982. Available from: http://hdl.handle.net/1957/42022

Oregon State University

7. Azzam, Abdul-Mordy Hamed. Admissibility in linear models.

Degree: PhD, Statistics, 1980, Oregon State University

URL: http://hdl.handle.net/1957/42142

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Azzam, A. H. (1980). Admissibility in linear models. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/42142

Chicago Manual of Style (16^th Edition):

Azzam, Abdul-Mordy Hamed. “Admissibility in linear models.” 1980. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/42142.

MLA Handbook (7^th Edition):

Azzam, Abdul-Mordy Hamed. “Admissibility in linear models.” 1980. Web. 10 Apr 2021.

Vancouver:

Azzam AH. Admissibility in linear models. [Internet] [Doctoral dissertation]. Oregon State University; 1980. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/42142.

Council of Science Editors:

Azzam AH. Admissibility in linear models. [Doctoral Dissertation]. Oregon State University; 1980. Available from: http://hdl.handle.net/1957/42142

Oregon State University

8. Tarng, Suey-huey. Estimation of the population total when the sample is taken from a list containing an unknown amount of duplication.

Degree: PhD, Statistics, 1980, Oregon State University

URL: http://hdl.handle.net/1957/42896

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Tarng, S. (1980). Estimation of the population total when the sample is taken from a list containing an unknown amount of duplication. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/42896

Chicago Manual of Style (16^th Edition):

Tarng, Suey-huey. “Estimation of the population total when the sample is taken from a list containing an unknown amount of duplication.” 1980. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/42896.

MLA Handbook (7^th Edition):

Tarng, Suey-huey. “Estimation of the population total when the sample is taken from a list containing an unknown amount of duplication.” 1980. Web. 10 Apr 2021.

Vancouver:

Tarng S. Estimation of the population total when the sample is taken from a list containing an unknown amount of duplication. [Internet] [Doctoral dissertation]. Oregon State University; 1980. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/42896.

Council of Science Editors:

Tarng S. Estimation of the population total when the sample is taken from a list containing an unknown amount of duplication. [Doctoral Dissertation]. Oregon State University; 1980. Available from: http://hdl.handle.net/1957/42896

Oregon State University

9. El-Arishy, Samia Mosaad Aly. Improving on the intra-block estimator via a nonlinear normal equation estimator.

Degree: PhD, Statistics, 1987, Oregon State University

URL: http://hdl.handle.net/1957/40203

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

El-Arishy, S. M. A. (1987). Improving on the intra-block estimator via a nonlinear normal equation estimator. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/40203

Chicago Manual of Style (16^th Edition):

El-Arishy, Samia Mosaad Aly. “Improving on the intra-block estimator via a nonlinear normal equation estimator.” 1987. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/40203.

MLA Handbook (7^th Edition):

El-Arishy, Samia Mosaad Aly. “Improving on the intra-block estimator via a nonlinear normal equation estimator.” 1987. Web. 10 Apr 2021.

Vancouver:

El-Arishy SMA. Improving on the intra-block estimator via a nonlinear normal equation estimator. [Internet] [Doctoral dissertation]. Oregon State University; 1987. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/40203.

Council of Science Editors:

El-Arishy SMA. Improving on the intra-block estimator via a nonlinear normal equation estimator. [Doctoral Dissertation]. Oregon State University; 1987. Available from: http://hdl.handle.net/1957/40203

Oregon State University

10. Saleh, Amina Ali Abd El-Fattah. Nonlinear unbiased estimators that dominate the intra-block estimator.

Degree: PhD, Statistics, 1986, Oregon State University

URL: http://hdl.handle.net/1957/40185

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Saleh, A. A. A. E. (1986). Nonlinear unbiased estimators that dominate the intra-block estimator. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/40185

Chicago Manual of Style (16^th Edition):

Saleh, Amina Ali Abd El-Fattah. “Nonlinear unbiased estimators that dominate the intra-block estimator.” 1986. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/40185.

MLA Handbook (7^th Edition):

Saleh, Amina Ali Abd El-Fattah. “Nonlinear unbiased estimators that dominate the intra-block estimator.” 1986. Web. 10 Apr 2021.

Vancouver:

Saleh AAAE. Nonlinear unbiased estimators that dominate the intra-block estimator. [Internet] [Doctoral dissertation]. Oregon State University; 1986. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/40185.

Council of Science Editors:

Saleh AAAE. Nonlinear unbiased estimators that dominate the intra-block estimator. [Doctoral Dissertation]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/40185

Oregon State University

11. Wulff, Shaun S. Explicit linear maximum likelihood estimation in mixed models.

Degree: PhD, Statistics, 1999, Oregon State University

URL: http://hdl.handle.net/1957/32966

► Mixed models have been widely used to model data from experiments which have fixed and random factors. Often there is interest in the estimation of… (more)

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Wulff, S. S. (1999). Explicit linear maximum likelihood estimation in mixed models. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/32966

Chicago Manual of Style (16^th Edition):

Wulff, Shaun S. “Explicit linear maximum likelihood estimation in mixed models.” 1999. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/32966.

MLA Handbook (7^th Edition):

Wulff, Shaun S. “Explicit linear maximum likelihood estimation in mixed models.” 1999. Web. 10 Apr 2021.

Vancouver:

Wulff SS. Explicit linear maximum likelihood estimation in mixed models. [Internet] [Doctoral dissertation]. Oregon State University; 1999. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/32966.

Council of Science Editors:

Wulff SS. Explicit linear maximum likelihood estimation in mixed models. [Doctoral Dissertation]. Oregon State University; 1999. Available from: http://hdl.handle.net/1957/32966

Oregon State University

12. O'Donnell, Robert P. (Robert Paul). Fisher and logistic discriminant function estimation in the presence of collinearity.

Degree: PhD, Statistics, 1990, Oregon State University

URL: http://hdl.handle.net/1957/37471

► The relative merits of the Fisher linear discriminant function (Efron, 1975) and logistic regression procedure (Press and Wilson, 1978; McLachlan and Byth, 1979), applied to… (more)

▼ The relative merits of the Fisher linear discriminant function (Efron, 1975) and logistic regression procedure (Press and Wilson, 1978; McLachlan and Byth, 1979), applied to the two group discrimination problem under conditions of multivariate normality and common covariance, have been debated. In related research, DiPillo (1976, 1977, 1979) has argued that a biased Fisher linear discriminant function is preferable when one or more collinearities exist among the classifying variables. This paper proposes a generalized ridge logistic regression (GRL) estimator as a logistic analog to DiPillo's biased alternative estimator. Ridge and Principal Component logistic estimators proposed by Schaefer et al. (1984) for conventional logistic regression are shown to be special cases of this generalized ridge logistic estimator. Two Fisher estimators (Linear Discriminant Function (LDF) and Biased Linear Discriminant Function (BLDF)) and three logistic estimators (Linear Logistic Regression (LLR), Ridge Logistic Regression (RLR) and Principal Component Logistic Regression (PCLR)) are compared in a Monte Carlo simulation under varying conditions of distance between populations, training set s1ze and degree of collinearity. A new approach to the selection of the ridge parameter in the BLDF method is proposed and evaluated. The results of the simulation indicate that two of the biased estimators (BLDF, RLR) produce smaller MSE values and are more stable estimators (smaller standard deviations) than their unbiased counterparts. But the improved performance for MSE does not translate into equivalent improvement in error rates. The expected actual error rates are only marginally smaller for the biased estimators. The results suggest that small training set size, rather than strong collinearity, may produce the greatest classification advantage for the biased estimators. The unbiased estimators (LDF, LLR) produce smaller average apparent error rates. The relative advantage of the Fisher estimators over the logistic estimators is maintained. But, given that the comparison is made under conditions most favorable to the Fisher estimators, the absolute advantage of the Fisher estimators is small. The new ridge parameter selection method for the BLDF estimator performs as well as, but no better than, the method used by DiPillo. The PCLR estimator shows performance comparable to the other estimators when there is a high level of collinearity. However, the estimator gives up a significant degree of performance in conditions where collinearity is not a problem. Advisors/Committee Members: Thomas, David R. (advisor).

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

O'Donnell, R. P. (. P. (1990). Fisher and logistic discriminant function estimation in the presence of collinearity. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/37471

Chicago Manual of Style (16^th Edition):

O'Donnell, Robert P (Robert Paul). “Fisher and logistic discriminant function estimation in the presence of collinearity.” 1990. Doctoral Dissertation, Oregon State University. Accessed April 10, 2021. http://hdl.handle.net/1957/37471.

MLA Handbook (7^th Edition):

O'Donnell, Robert P (Robert Paul). “Fisher and logistic discriminant function estimation in the presence of collinearity.” 1990. Web. 10 Apr 2021.

Vancouver:

O'Donnell RP(P. Fisher and logistic discriminant function estimation in the presence of collinearity. [Internet] [Doctoral dissertation]. Oregon State University; 1990. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1957/37471.

Council of Science Editors:

O'Donnell RP(P. Fisher and logistic discriminant function estimation in the presence of collinearity. [Doctoral Dissertation]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37471

Columbia University

13. Mittel, Louis Buchalter. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries.

Degree: 2017, Columbia University

URL: https://doi.org/10.7916/D8JW8SFB

► Latent variables are often included in a model in order to capture the diversity among subjects in a population. Sometimes the distribution of these latent… (more)

Subjects/Keywords: Statistics; Latent variables; Estimation theory

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APA (6^th Edition):

Mittel, L. B. (2017). Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8JW8SFB

Chicago Manual of Style (16^th Edition):

Mittel, Louis Buchalter. “Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries.” 2017. Doctoral Dissertation, Columbia University. Accessed April 10, 2021. https://doi.org/10.7916/D8JW8SFB.

MLA Handbook (7^th Edition):

Mittel, Louis Buchalter. “Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries.” 2017. Web. 10 Apr 2021.

Vancouver:

Mittel LB. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2021 Apr 10]. Available from: https://doi.org/10.7916/D8JW8SFB.

Council of Science Editors:

Mittel LB. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D8JW8SFB

Hong Kong University of Science and Technology

14. Wang, Xi. Modified maximum score estimator in ordered choice models with interval data.

Degree: 2012, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-7654 ; https://doi.org/10.14711/thesis-b1197888 ; http://repository.ust.hk/ir/bitstream/1783.1-7654/1/th_redirect.html

► If one or more explanatory variables are not observed exactly in an ordered choice model, the parameters of interest cannot be point identified but are… (more)

Subjects/Keywords: Estimation theory ; Maxima and minima

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APA (6^th Edition):

Wang, X. (2012). Modified maximum score estimator in ordered choice models with interval data. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7654 ; https://doi.org/10.14711/thesis-b1197888 ; http://repository.ust.hk/ir/bitstream/1783.1-7654/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Xi. “Modified maximum score estimator in ordered choice models with interval data.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed April 10, 2021. http://repository.ust.hk/ir/Record/1783.1-7654 ; https://doi.org/10.14711/thesis-b1197888 ; http://repository.ust.hk/ir/bitstream/1783.1-7654/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Xi. “Modified maximum score estimator in ordered choice models with interval data.” 2012. Web. 10 Apr 2021.

Vancouver:

Wang X. Modified maximum score estimator in ordered choice models with interval data. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2021 Apr 10]. Available from: http://repository.ust.hk/ir/Record/1783.1-7654 ; https://doi.org/10.14711/thesis-b1197888 ; http://repository.ust.hk/ir/bitstream/1783.1-7654/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Modified maximum score estimator in ordered choice models with interval data. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: http://repository.ust.hk/ir/Record/1783.1-7654 ; https://doi.org/10.14711/thesis-b1197888 ; http://repository.ust.hk/ir/bitstream/1783.1-7654/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

15. Wang, Kai. Lasso-based variable selection of log-GARCH models.

Degree: 2016, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-87102 ; https://doi.org/10.14711/thesis-b1627119 ; http://repository.ust.hk/ir/bitstream/1783.1-87102/1/th_redirect.html

► This thesis investigates the Lasso-based approach for variable selection of log-GARCH models. For estimating parameters and the order of the model simultaneously, we propose a… (more)

Subjects/Keywords: GARCH model ; Estimation theory

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APA (6^th Edition):

Wang, K. (2016). Lasso-based variable selection of log-GARCH models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87102 ; https://doi.org/10.14711/thesis-b1627119 ; http://repository.ust.hk/ir/bitstream/1783.1-87102/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Kai. “Lasso-based variable selection of log-GARCH models.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed April 10, 2021. http://repository.ust.hk/ir/Record/1783.1-87102 ; https://doi.org/10.14711/thesis-b1627119 ; http://repository.ust.hk/ir/bitstream/1783.1-87102/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Kai. “Lasso-based variable selection of log-GARCH models.” 2016. Web. 10 Apr 2021.

Vancouver:

Wang K. Lasso-based variable selection of log-GARCH models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 Apr 10]. Available from: http://repository.ust.hk/ir/Record/1783.1-87102 ; https://doi.org/10.14711/thesis-b1627119 ; http://repository.ust.hk/ir/bitstream/1783.1-87102/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang K. Lasso-based variable selection of log-GARCH models. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-87102 ; https://doi.org/10.14711/thesis-b1627119 ; http://repository.ust.hk/ir/bitstream/1783.1-87102/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina – Greensboro

16. Zatezalo, Tanja. Generalized mixture estimators for the finite population mean.

Degree: 2016, University of North Carolina – Greensboro

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396

► The first order approximation of the theoretical mean square error and assumption of bivariate normality are very often used for the ratio type estimators for… (more)

Subjects/Keywords: Estimation theory; Regression analysis

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zatezalo, T. (2016). Generalized mixture estimators for the finite population mean. (Doctoral Dissertation). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396

Chicago Manual of Style (16^th Edition):

Zatezalo, Tanja. “Generalized mixture estimators for the finite population mean.” 2016. Doctoral Dissertation, University of North Carolina – Greensboro. Accessed April 10, 2021. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396.

MLA Handbook (7^th Edition):

Zatezalo, Tanja. “Generalized mixture estimators for the finite population mean.” 2016. Web. 10 Apr 2021.

Vancouver:

Zatezalo T. Generalized mixture estimators for the finite population mean. [Internet] [Doctoral dissertation]. University of North Carolina – Greensboro; 2016. [cited 2021 Apr 10]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396.

Council of Science Editors:

Zatezalo T. Generalized mixture estimators for the finite population mean. [Doctoral Dissertation]. University of North Carolina – Greensboro; 2016. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21396

University of North Carolina – Greensboro

17. Zhang, Qi. Ratio estimation of the mean under RRT models.

Degree: 2016, University of North Carolina – Greensboro

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21040

► Ratio estimation is a parameter estimation technique that uses a known auxiliary variable that is correlated with the study variable. In many situations, the primary… (more)

Subjects/Keywords: Estimation theory; Sampling (Statistics)

Record Details Similar Records Cite « Share

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APA (6^th Edition):

Zhang, Q. (2016). Ratio estimation of the mean under RRT models. (Masters Thesis). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21040

Chicago Manual of Style (16^th Edition):

Zhang, Qi. “Ratio estimation of the mean under RRT models.” 2016. Masters Thesis, University of North Carolina – Greensboro. Accessed April 10, 2021. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21040.

MLA Handbook (7^th Edition):

Zhang, Qi. “Ratio estimation of the mean under RRT models.” 2016. Web. 10 Apr 2021.

Vancouver:

Zhang Q. Ratio estimation of the mean under RRT models. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2016. [cited 2021 Apr 10]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21040.

Council of Science Editors:

Zhang Q. Ratio estimation of the mean under RRT models. [Masters Thesis]. University of North Carolina – Greensboro; 2016. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=21040

University of Melbourne

18. Snow, J. W. Distribution-free inference about quantiles.

Degree: 1972, University of Melbourne

URL: http://hdl.handle.net/11343/36055

This thesis is concerned with the problem of drawing inferences about populations when little or nothing is known about the form of the underlying distribution. Chapter 1 reviews the general problems, but the thesis as a whole is more concerned with problems of estimation than with tests of hypotheses.

Subjects/Keywords: estimation theory

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APA (6^th Edition):

Snow, J. W. (1972). Distribution-free inference about quantiles. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/36055

Chicago Manual of Style (16^th Edition):

Snow, J W. “Distribution-free inference about quantiles.” 1972. Masters Thesis, University of Melbourne. Accessed April 10, 2021. http://hdl.handle.net/11343/36055.

MLA Handbook (7^th Edition):

Snow, J W. “Distribution-free inference about quantiles.” 1972. Web. 10 Apr 2021.

Vancouver:

Snow JW. Distribution-free inference about quantiles. [Internet] [Masters thesis]. University of Melbourne; 1972. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/11343/36055.

Council of Science Editors:

Snow JW. Distribution-free inference about quantiles. [Masters Thesis]. University of Melbourne; 1972. Available from: http://hdl.handle.net/11343/36055

University of Arizona

19. Stefani, Raymond T. AN ITERATIVE WEIGHTED LEAST SQUARES TECHNIQUE FOR UNBIASED STRUCTURAL PARAMETER ESTIMATION .

Degree: 1971, University of Arizona

URL: http://hdl.handle.net/10150/287703

Subjects/Keywords: Estimation theory.

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APA (6^th Edition):

Stefani, R. T. (1971). AN ITERATIVE WEIGHTED LEAST SQUARES TECHNIQUE FOR UNBIASED STRUCTURAL PARAMETER ESTIMATION . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/287703

Chicago Manual of Style (16^th Edition):

Stefani, Raymond T. “AN ITERATIVE WEIGHTED LEAST SQUARES TECHNIQUE FOR UNBIASED STRUCTURAL PARAMETER ESTIMATION .” 1971. Doctoral Dissertation, University of Arizona. Accessed April 10, 2021. http://hdl.handle.net/10150/287703.

MLA Handbook (7^th Edition):

Stefani, Raymond T. “AN ITERATIVE WEIGHTED LEAST SQUARES TECHNIQUE FOR UNBIASED STRUCTURAL PARAMETER ESTIMATION .” 1971. Web. 10 Apr 2021.

Vancouver:

Stefani RT. AN ITERATIVE WEIGHTED LEAST SQUARES TECHNIQUE FOR UNBIASED STRUCTURAL PARAMETER ESTIMATION . [Internet] [Doctoral dissertation]. University of Arizona; 1971. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/10150/287703.

Council of Science Editors:

Stefani RT. AN ITERATIVE WEIGHTED LEAST SQUARES TECHNIQUE FOR UNBIASED STRUCTURAL PARAMETER ESTIMATION . [Doctoral Dissertation]. University of Arizona; 1971. Available from: http://hdl.handle.net/10150/287703

Kansas State University

20. McFarland, Steven Deane. Nonlinear estimation : Gauss-Newton procedure.

Degree: 1976, Kansas State University

URL: http://hdl.handle.net/2097/12087

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

McFarland, S. D. (1976). Nonlinear estimation : Gauss-Newton procedure. (Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/12087

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

McFarland, Steven Deane. “Nonlinear estimation : Gauss-Newton procedure.” 1976. Thesis, Kansas State University. Accessed April 10, 2021. http://hdl.handle.net/2097/12087.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

McFarland, Steven Deane. “Nonlinear estimation : Gauss-Newton procedure.” 1976. Web. 10 Apr 2021.

Vancouver:

McFarland SD. Nonlinear estimation : Gauss-Newton procedure. [Internet] [Thesis]. Kansas State University; 1976. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2097/12087.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McFarland SD. Nonlinear estimation : Gauss-Newton procedure. [Thesis]. Kansas State University; 1976. Available from: http://hdl.handle.net/2097/12087

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Kansas State University

21. Sundheim, Richard Allen. The midrange estimator in symmetric distributions.

Degree: 1974, Kansas State University

URL: http://hdl.handle.net/2097/8354

Subjects/Keywords: Estimation theory

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sundheim, R. A. (1974). The midrange estimator in symmetric distributions. (Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/8354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sundheim, Richard Allen. “The midrange estimator in symmetric distributions.” 1974. Thesis, Kansas State University. Accessed April 10, 2021. http://hdl.handle.net/2097/8354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sundheim, Richard Allen. “The midrange estimator in symmetric distributions.” 1974. Web. 10 Apr 2021.

Vancouver:

Sundheim RA. The midrange estimator in symmetric distributions. [Internet] [Thesis]. Kansas State University; 1974. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/2097/8354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sundheim RA. The midrange estimator in symmetric distributions. [Thesis]. Kansas State University; 1974. Available from: http://hdl.handle.net/2097/8354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

22. Singh, Radhey Shyam, 1944-. Estimation of derivatives of average of u-densities and sequence-compound estimation in exponential families.

Degree: PhD, Department of Statistics and Probability, 1974, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:36925

Subjects/Keywords: Estimation theory

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APA (6^th Edition):

Singh, Radhey Shyam, 1. (1974). Estimation of derivatives of average of u-densities and sequence-compound estimation in exponential families. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:36925

Chicago Manual of Style (16^th Edition):

Singh, Radhey Shyam, 1944-. “Estimation of derivatives of average of u-densities and sequence-compound estimation in exponential families.” 1974. Doctoral Dissertation, Michigan State University. Accessed April 10, 2021. http://etd.lib.msu.edu/islandora/object/etd:36925.

MLA Handbook (7^th Edition):

Singh, Radhey Shyam, 1944-. “Estimation of derivatives of average of u-densities and sequence-compound estimation in exponential families.” 1974. Web. 10 Apr 2021.

Vancouver:

Singh, Radhey Shyam 1. Estimation of derivatives of average of u-densities and sequence-compound estimation in exponential families. [Internet] [Doctoral dissertation]. Michigan State University; 1974. [cited 2021 Apr 10]. Available from: http://etd.lib.msu.edu/islandora/object/etd:36925.

Council of Science Editors:

Singh, Radhey Shyam 1. Estimation of derivatives of average of u-densities and sequence-compound estimation in exponential families. [Doctoral Dissertation]. Michigan State University; 1974. Available from: http://etd.lib.msu.edu/islandora/object/etd:36925

Michigan State University

23. Kim, Jiwoong. Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors.

Degree: 2016, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:4075

►

Thesis Ph. D. Michigan State University. Statistics 2016

This dissertation consists of three chapters. The rst chapter introduces the models under consideration and motivates problems… (more)

Subjects/Keywords: Statistics; Estimation theory; Autoregression (Statistics)

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APA (6^th Edition):

Kim, J. (2016). Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:4075

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kim, Jiwoong. “Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors.” 2016. Thesis, Michigan State University. Accessed April 10, 2021. http://etd.lib.msu.edu/islandora/object/etd:4075.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kim, Jiwoong. “Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors.” 2016. Web. 10 Apr 2021.

Vancouver:

Kim J. Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors. [Internet] [Thesis]. Michigan State University; 2016. [cited 2021 Apr 10]. Available from: http://etd.lib.msu.edu/islandora/object/etd:4075.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim J. Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors. [Thesis]. Michigan State University; 2016. Available from: http://etd.lib.msu.edu/islandora/object/etd:4075

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

24. Ren, Hao. Some new models for small area estimation.

Degree: 2011, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:234

►

Thesis Ph. D. Michigan State University. Statistics 2011.

This dissertation includes some new models for small area estimation. There are four parts in total. The… (more)

▼

Thesis Ph. D. Michigan State University. Statistics 2011.

This dissertation includes some new models for small area estimation. There are four parts in total. The first part studied the selection of fixed effects covariates in linear mixed models. A modified bootstrap selection procedure for linear model from literature was extended to linear mixed effects models. Both theoretical work and simulations showed the effectiveness of this procedure for linear mixed effects models.In the second part, a new approach by shrinking both means and variances of small areas was introducted. This method modeled the small area means and variances in a unified framework. The smoothed variance estimators used information of direct point estimators and their sampling variances, and consequently, for the smoothed small area estimators. Conditional mean squared error of prediction was also studied in this part to evaluate the performance of predictors.The third part studied the confidence intervals of small area estimators introduced in the second part. The literature of small area estimation is dominated by point estimation and their standard errors. The standard normal or student-t confidence intervals do not produce accurate intervals. The confidence intervals produced in this part are from a decision theory perspective.The fourth part estimated the small areas means with clustering of the small areas. In the realistic application, the estimation may not be appropriate to "borrow strength" from all other small areas universally, if cluster effects exist between clusters of small areas. A model based on clustering was studied in this part, which included an additional cluster effect to the basic area level model. Since the partition of clusters was not known, a stochastic search procedure from literature was adapted first to find the clustering partition.

Description based on online resource; title from PDF t.p. (viewed on March 12, 2012)

Advisors/Committee Members: Maiti, Tapabrata, Dass, Sarat, Wang, Lifeng, Schmidt, William.

Subjects/Keywords: Estimation theory; Sampling (Statistics); Statistics

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APA (6^th Edition):

Ren, H. (2011). Some new models for small area estimation. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ren, Hao. “Some new models for small area estimation.” 2011. Thesis, Michigan State University. Accessed April 10, 2021. http://etd.lib.msu.edu/islandora/object/etd:234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ren, Hao. “Some new models for small area estimation.” 2011. Web. 10 Apr 2021.

Vancouver:

Ren H. Some new models for small area estimation. [Internet] [Thesis]. Michigan State University; 2011. [cited 2021 Apr 10]. Available from: http://etd.lib.msu.edu/islandora/object/etd:234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ren H. Some new models for small area estimation. [Thesis]. Michigan State University; 2011. Available from: http://etd.lib.msu.edu/islandora/object/etd:234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. NC DOCKS at The University of North Carolina at Greensboro; Zhang, Qi. Mean estimation of sensitive variables under measurement errors and non-response.

Degree: 2020, NC Docks

URL: http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154D_13097.pdf

► This study mainly consists of three important issues we face in survey sampling: social desirability bias, measurement errors, and non-response. In this dissertation, we study… (more)

Subjects/Keywords: Sampling (Statistics); Estimation theory

Record Details Similar Records Cite « Share

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APA (6^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zhang, Q. (2020). Mean estimation of sensitive variables under measurement errors and non-response. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154D_13097.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zhang, Qi. “Mean estimation of sensitive variables under measurement errors and non-response.” 2020. Thesis, NC Docks. Accessed April 10, 2021. http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154D_13097.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zhang, Qi. “Mean estimation of sensitive variables under measurement errors and non-response.” 2020. Web. 10 Apr 2021.

Vancouver:

NC DOCKS at The University of North Carolina at Greensboro; Zhang Q. Mean estimation of sensitive variables under measurement errors and non-response. [Internet] [Thesis]. NC Docks; 2020. [cited 2021 Apr 10]. Available from: http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154D_13097.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

NC DOCKS at The University of North Carolina at Greensboro; Zhang Q. Mean estimation of sensitive variables under measurement errors and non-response. [Thesis]. NC Docks; 2020. Available from: http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154D_13097.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. NC DOCKS at The University of North Carolina at Greensboro; Zhang, Qi. Ratio estimation of the mean under RRT models.

Degree: 2016, NC Docks

URL: http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154M_12079.pdf

► Ratio estimation is a parameter estimation technique that uses a known auxiliary variable that is correlated with the study variable. In many situations, the primary… (more)

Subjects/Keywords: Estimation theory; Sampling (Statistics)

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zhang, Q. (2016). Ratio estimation of the mean under RRT models. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154M_12079.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zhang, Qi. “Ratio estimation of the mean under RRT models.” 2016. Thesis, NC Docks. Accessed April 10, 2021. http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154M_12079.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zhang, Qi. “Ratio estimation of the mean under RRT models.” 2016. Web. 10 Apr 2021.

Vancouver:

NC DOCKS at The University of North Carolina at Greensboro; Zhang Q. Ratio estimation of the mean under RRT models. [Internet] [Thesis]. NC Docks; 2016. [cited 2021 Apr 10]. Available from: http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154M_12079.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

NC DOCKS at The University of North Carolina at Greensboro; Zhang Q. Ratio estimation of the mean under RRT models. [Thesis]. NC Docks; 2016. Available from: http://libres.uncg.edu/ir/uncg/f/Zhang_uncg_0154M_12079.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. NC DOCKS at The University of North Carolina at Greensboro; Zatezalo, Tanja. Generalized mixture estimators for the finite population mean.

Degree: 2016, NC Docks

URL: http://libres.uncg.edu/ir/uncg/f/Zatezalo_uncg_0154D_12085.pdf

► The first order approximation of the theoretical mean square error and assumption of bivariate normality are very often used for the ratio type estimators for… (more)

Subjects/Keywords: Estimation theory; Regression analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zatezalo, T. (2016). Generalized mixture estimators for the finite population mean. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Zatezalo_uncg_0154D_12085.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zatezalo, Tanja. “Generalized mixture estimators for the finite population mean.” 2016. Thesis, NC Docks. Accessed April 10, 2021. http://libres.uncg.edu/ir/uncg/f/Zatezalo_uncg_0154D_12085.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

NC DOCKS at The University of North Carolina at Greensboro; Zatezalo, Tanja. “Generalized mixture estimators for the finite population mean.” 2016. Web. 10 Apr 2021.

Vancouver:

NC DOCKS at The University of North Carolina at Greensboro; Zatezalo T. Generalized mixture estimators for the finite population mean. [Internet] [Thesis]. NC Docks; 2016. [cited 2021 Apr 10]. Available from: http://libres.uncg.edu/ir/uncg/f/Zatezalo_uncg_0154D_12085.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

NC DOCKS at The University of North Carolina at Greensboro; Zatezalo T. Generalized mixture estimators for the finite population mean. [Thesis]. NC Docks; 2016. Available from: http://libres.uncg.edu/ir/uncg/f/Zatezalo_uncg_0154D_12085.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Montana State University

28. Shaffer, Charles Edward. Estimation of cumulative totals.

Degree: PhD, College of Letters & Science, 1976, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/4564

Subjects/Keywords: Estimation theory

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shaffer, C. E. (1976). Estimation of cumulative totals. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/4564

Chicago Manual of Style (16^th Edition):

Shaffer, Charles Edward. “Estimation of cumulative totals.” 1976. Doctoral Dissertation, Montana State University. Accessed April 10, 2021. https://scholarworks.montana.edu/xmlui/handle/1/4564.

MLA Handbook (7^th Edition):

Shaffer, Charles Edward. “Estimation of cumulative totals.” 1976. Web. 10 Apr 2021.

Vancouver:

Shaffer CE. Estimation of cumulative totals. [Internet] [Doctoral dissertation]. Montana State University; 1976. [cited 2021 Apr 10]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/4564.

Council of Science Editors:

Shaffer CE. Estimation of cumulative totals. [Doctoral Dissertation]. Montana State University; 1976. Available from: https://scholarworks.montana.edu/xmlui/handle/1/4564

Vanderbilt University

29. Tang, Sui. Dynamical Sampling.

Degree: PhD, Mathematics, 2016, Vanderbilt University

URL: http://hdl.handle.net/1803/12430

► Let f ∈ l²(I) be a signal at time t = 0 of an evolution process controlled by a bounded linear operator A that produces… (more)

Subjects/Keywords: Sampling theory; Frame theory; channel estimation

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APA (6^th Edition):

Tang, S. (2016). Dynamical Sampling. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12430

Chicago Manual of Style (16^th Edition):

Tang, Sui. “Dynamical Sampling.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed April 10, 2021. http://hdl.handle.net/1803/12430.

MLA Handbook (7^th Edition):

Tang, Sui. “Dynamical Sampling.” 2016. Web. 10 Apr 2021.

Vancouver:

Tang S. Dynamical Sampling. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1803/12430.

Council of Science Editors:

Tang S. Dynamical Sampling. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/12430

Queens University

30. Ghobadzadeh, Ali. Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory .

Degree: Electrical and Computer Engineering, 2015, Queens University

URL: http://hdl.handle.net/1974/13811

► In this thesis, we consider a general binary and M-ary hypothesis testing problems with unknown parameters. In a hypothesis testing problem, we assume that the… (more)

▼ In this thesis, we consider a general binary and M-ary hypothesis testing problems with unknown parameters. In a hypothesis testing problem, we assume that the probability density function (pdf) of observation is given while some unknown parameters exit in the structure of the pdf and the set of unknowns under each hypothesis is given. In the first part of this study, for a binary composite testing, we prove that the Minimum Variance and Unbiased Estimator of a Separating Function (SF) serves as the optimal decision statistic for the Uniformly Most Powerful (UMP) unbiased test. In many problems, the UMP test does not exist. For such cases, we introduce new suboptimal SF-Estimator Tests (SFETs) which are easy to derive for many problems. In the second part, we study the relationship between Constant False Alarm Rate (CFAR) and invariant tests. We generally show that for a family of distributions, the unknown parameters are eliminated from the distribution of the maximal invariant statistic under the Minimal Invariant Group (MIG) while the maximum information of the observed signal is preserved. We prove that any invariant test with respect to the MIG is CFAR. Then, we introduce the UMP-CFAR test as the optimal CFAR bound among all CFAR tests. In the third part, the asymptotical optimality of the CFAR tests is studied after reduction using MIG. We show that the CFAR tests obtained after MIG reduction using the Wald test is SFET and the Generalized Likelihood Ratio Test and the Rao test are asymptotically optimal. To find an improved test, we maximize the asymptotic probability of detection of the SFET using the Maximum Likelihood Estimation (MLE). We propose a systematic method allowing to derive the Asymptotically Optimal SFET. Finally, we extend the concept of SFET to the M-ary hypothesis testing. Defining M different SFs for an M-ary problem, we show that the optimal minimum error test is achieved using the MLE of SFs. Moreover, in the case that the optimal minimum error test does not exist, the error probability of the proposed SFET tends to zero when the number of independent observations tends to infinity.

Subjects/Keywords: Detection Theory ; Invariant tests ; CFAR ; Estimation Theory

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ghobadzadeh, A. (2015). Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13811

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ghobadzadeh, Ali. “Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory .” 2015. Thesis, Queens University. Accessed April 10, 2021. http://hdl.handle.net/1974/13811.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ghobadzadeh, Ali. “Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory .” 2015. Web. 10 Apr 2021.

Vancouver:

Ghobadzadeh A. Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory . [Internet] [Thesis]. Queens University; 2015. [cited 2021 Apr 10]. Available from: http://hdl.handle.net/1974/13811.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghobadzadeh A. Optimal and Suboptimal Signal Detection-On the Relationship Between Estimation and Detection Theory . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13811

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations