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University of Manchester

1.
Pina Sanchez, Jose Maria.
Prevalence, Impact, and Adjustments of Measurement *Error*
in Retrospective Reports of Unemployment: An Analysis Using Swedish
Administrative Data.

Degree: 2014, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:232708

► In this thesis I carry out an encompassing analysis of the problem of measurement *error* in retrospectively collected work histories using data from the “Longitudinal…
(more)

Subjects/Keywords: Measurement Error; Survey Research; Unemployment; Bayesian Statistics

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

APA (6^{th} Edition):

Pina Sanchez, J. M. (2014). Prevalence, Impact, and Adjustments of Measurement Error in Retrospective Reports of Unemployment: An Analysis Using Swedish Administrative Data. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:232708

Chicago Manual of Style (16^{th} Edition):

Pina Sanchez, Jose Maria. “Prevalence, Impact, and Adjustments of Measurement Error in Retrospective Reports of Unemployment: An Analysis Using Swedish Administrative Data.” 2014. Doctoral Dissertation, University of Manchester. Accessed January 19, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:232708.

MLA Handbook (7^{th} Edition):

Pina Sanchez, Jose Maria. “Prevalence, Impact, and Adjustments of Measurement Error in Retrospective Reports of Unemployment: An Analysis Using Swedish Administrative Data.” 2014. Web. 19 Jan 2021.

Vancouver:

Pina Sanchez JM. Prevalence, Impact, and Adjustments of Measurement Error in Retrospective Reports of Unemployment: An Analysis Using Swedish Administrative Data. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Jan 19]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:232708.

Council of Science Editors:

Pina Sanchez JM. Prevalence, Impact, and Adjustments of Measurement Error in Retrospective Reports of Unemployment: An Analysis Using Swedish Administrative Data. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:232708

Bowling Green State University

2.
Shifa, Naima.
Estimation of Qvf Measurement *Error* Models Using Empirical
Likelihood Method.

Degree: PhD, Mathematics/Mathematical Statistics, 2009, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1245415705

► Predictor variables are often contaminated with measurement errors in statistical practice. This may be the case due to bad measurement apparatus or just because the…
(more)

Subjects/Keywords: Statistics; MEASUREMENT ERROR

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APA (6^{th} Edition):

Shifa, N. (2009). Estimation of Qvf Measurement Error Models Using Empirical Likelihood Method. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1245415705

Chicago Manual of Style (16^{th} Edition):

Shifa, Naima. “Estimation of Qvf Measurement Error Models Using Empirical Likelihood Method.” 2009. Doctoral Dissertation, Bowling Green State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1245415705.

MLA Handbook (7^{th} Edition):

Shifa, Naima. “Estimation of Qvf Measurement Error Models Using Empirical Likelihood Method.” 2009. Web. 19 Jan 2021.

Vancouver:

Shifa N. Estimation of Qvf Measurement Error Models Using Empirical Likelihood Method. [Internet] [Doctoral dissertation]. Bowling Green State University; 2009. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1245415705.

Council of Science Editors:

Shifa N. Estimation of Qvf Measurement Error Models Using Empirical Likelihood Method. [Doctoral Dissertation]. Bowling Green State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1245415705

The Ohio State University

3.
Ball, Allen Dwayne.
Individual differences multidimensional scaling and the
nature of *error* in human judgments.

Degree: PhD, Graduate School, 1982, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487172339758385

Subjects/Keywords: Statistics; Difference; Error

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APA (6^{th} Edition):

Ball, A. D. (1982). Individual differences multidimensional scaling and the nature of error in human judgments. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1487172339758385

Chicago Manual of Style (16^{th} Edition):

Ball, Allen Dwayne. “Individual differences multidimensional scaling and the nature of error in human judgments.” 1982. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487172339758385.

MLA Handbook (7^{th} Edition):

Ball, Allen Dwayne. “Individual differences multidimensional scaling and the nature of error in human judgments.” 1982. Web. 19 Jan 2021.

Vancouver:

Ball AD. Individual differences multidimensional scaling and the nature of error in human judgments. [Internet] [Doctoral dissertation]. The Ohio State University; 1982. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487172339758385.

Council of Science Editors:

Ball AD. Individual differences multidimensional scaling and the nature of error in human judgments. [Doctoral Dissertation]. The Ohio State University; 1982. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487172339758385

University of Illinois – Urbana-Champaign

4.
Lee, Yu-Hung.
Characterization and Engineering of *Error* *Statistics* for Reliable Computation.

Degree: MS, 1200, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/18281

► We make a case for developing statistical *error* models of nanoscale circuits, employing these for designing robust systems, and engineering *error*-*statistics* to enhance the performance…
(more)

Subjects/Keywords: robust system design; error statistics; diversity technique; error model

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APA (6^{th} Edition):

Lee, Y. (2011). Characterization and Engineering of Error Statistics for Reliable Computation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18281

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):

Lee, Yu-Hung. “Characterization and Engineering of Error Statistics for Reliable Computation.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed January 19, 2021. http://hdl.handle.net/2142/18281.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Yu-Hung. “Characterization and Engineering of Error Statistics for Reliable Computation.” 2011. Web. 19 Jan 2021.

Vancouver:

Lee Y. Characterization and Engineering of Error Statistics for Reliable Computation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2142/18281.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee Y. Characterization and Engineering of Error Statistics for Reliable Computation. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18281

Not specified: Masters Thesis or Doctoral Dissertation

University of Johannesburg

5. Musekiwa, Alfred. Estimating the slope in the simple linear errors-in-variables model.

Degree: 2012, University of Johannesburg

URL: http://hdl.handle.net/10210/5493

►

M.Sc.

In this study we consider the problem ofestiniating the slope in the simple linear errors-in-variables model. There are two different types of relationship that… (more)

Subjects/Keywords: Variables (Mathematics); Error analysis (Mathematics); Bootstrap (Statistics); Instrumental variables (Statistics)

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APA (6^{th} Edition):

Musekiwa, A. (2012). Estimating the slope in the simple linear errors-in-variables model. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/5493

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Musekiwa, Alfred. “Estimating the slope in the simple linear errors-in-variables model.” 2012. Thesis, University of Johannesburg. Accessed January 19, 2021. http://hdl.handle.net/10210/5493.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Musekiwa, Alfred. “Estimating the slope in the simple linear errors-in-variables model.” 2012. Web. 19 Jan 2021.

Vancouver:

Musekiwa A. Estimating the slope in the simple linear errors-in-variables model. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10210/5493.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Musekiwa A. Estimating the slope in the simple linear errors-in-variables model. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/5493

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

6.
Kaul, Abhishek.
High dimensional linear regression models under long memory dependence and measurement * error*.

Degree: 2015, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:3550

►

Thesis Ph. D. Michigan State University. *Statistics* 2015

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

Subjects/Keywords: Regression analysis – Mathematical models; Error analysis (Mathematics); Mathematical statistics; Statistics

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APA (6^{th} Edition):

Kaul, A. (2015). High dimensional linear regression models under long memory dependence and measurement error. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3550

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kaul, Abhishek. “High dimensional linear regression models under long memory dependence and measurement error.” 2015. Thesis, Michigan State University. Accessed January 19, 2021. http://etd.lib.msu.edu/islandora/object/etd:3550.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kaul, Abhishek. “High dimensional linear regression models under long memory dependence and measurement error.” 2015. Web. 19 Jan 2021.

Vancouver:

Kaul A. High dimensional linear regression models under long memory dependence and measurement error. [Internet] [Thesis]. Michigan State University; 2015. [cited 2021 Jan 19]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3550.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaul A. High dimensional linear regression models under long memory dependence and measurement error. [Thesis]. Michigan State University; 2015. Available from: http://etd.lib.msu.edu/islandora/object/etd:3550

Not specified: Masters Thesis or Doctoral Dissertation

Temple University

7.
Yang, Zijiang.
New Step Down Procedures for Control of the Familywise *Error* Rate.

Degree: PhD, 2008, Temple University

URL: http://digital.library.temple.edu/u?/p245801coll10,20124

►

*Statistics*

The main research topic in this dissertation is the development of the closure method of multiple testing procedures. Considering a general procedure that allows… (more)

Subjects/Keywords: Statistics; Multiple Comparisons; Familywise Error Rate; Generalized Familywise Error Rate; Closure Method; Step-down Test

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APA (6^{th} Edition):

Yang, Z. (2008). New Step Down Procedures for Control of the Familywise Error Rate. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,20124

Chicago Manual of Style (16^{th} Edition):

Yang, Zijiang. “New Step Down Procedures for Control of the Familywise Error Rate.” 2008. Doctoral Dissertation, Temple University. Accessed January 19, 2021. http://digital.library.temple.edu/u?/p245801coll10,20124.

MLA Handbook (7^{th} Edition):

Yang, Zijiang. “New Step Down Procedures for Control of the Familywise Error Rate.” 2008. Web. 19 Jan 2021.

Vancouver:

Yang Z. New Step Down Procedures for Control of the Familywise Error Rate. [Internet] [Doctoral dissertation]. Temple University; 2008. [cited 2021 Jan 19]. Available from: http://digital.library.temple.edu/u?/p245801coll10,20124.

Council of Science Editors:

Yang Z. New Step Down Procedures for Control of the Familywise Error Rate. [Doctoral Dissertation]. Temple University; 2008. Available from: http://digital.library.temple.edu/u?/p245801coll10,20124

Western Kentucky University

8. Dai, Xiaogang. Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution.

Degree: MS, Department of Mathematics, 2018, Western Kentucky University

URL: https://digitalcommons.wku.edu/theses/2447

► The main purpose of this thesis is to compare the performance of the score test and the likelihood ratio test by computing type I…
(more)

Subjects/Keywords: Rao's score test; type I error; type II error; Applied Statistics; Other Applied Mathematics; Probability

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APA (6^{th} Edition):

Dai, X. (2018). Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/2447

Chicago Manual of Style (16^{th} Edition):

Dai, Xiaogang. “Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution.” 2018. Masters Thesis, Western Kentucky University. Accessed January 19, 2021. https://digitalcommons.wku.edu/theses/2447.

MLA Handbook (7^{th} Edition):

Dai, Xiaogang. “Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution.” 2018. Web. 19 Jan 2021.

Vancouver:

Dai X. Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution. [Internet] [Masters thesis]. Western Kentucky University; 2018. [cited 2021 Jan 19]. Available from: https://digitalcommons.wku.edu/theses/2447.

Council of Science Editors:

Dai X. Score Test and Likelihood Ratio Test for Zero-Inflated Binomial Distribution and Geometric Distribution. [Masters Thesis]. Western Kentucky University; 2018. Available from: https://digitalcommons.wku.edu/theses/2447

9.
Ries, Daniel.
Measurement *error* modeling of physical activity data.

Degree: 2017, Iowa State University

URL: https://lib.dr.iastate.edu/etd/16449

► Physical activity is an important component to a healthy lifestyle. However, it is difficult to create physical activity recommendations because it is difficult to track…
(more)

Subjects/Keywords: Bayesian statistics; Measurement error; Physical activity; Reversible jump mcmc; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Ries, D. (2017). Measurement error modeling of physical activity data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16449

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ries, Daniel. “Measurement error modeling of physical activity data.” 2017. Thesis, Iowa State University. Accessed January 19, 2021. https://lib.dr.iastate.edu/etd/16449.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ries, Daniel. “Measurement error modeling of physical activity data.” 2017. Web. 19 Jan 2021.

Vancouver:

Ries D. Measurement error modeling of physical activity data. [Internet] [Thesis]. Iowa State University; 2017. [cited 2021 Jan 19]. Available from: https://lib.dr.iastate.edu/etd/16449.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ries D. Measurement error modeling of physical activity data. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16449

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

10.
Long, James Patrick.
Prediction Methods for Astronomical Data Observed with Measurement * Error*.

Degree: Statistics, 2013, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/0s79z3hk

► We study prediction when features are observed with measurement *error*. The research is motivated by classification challenges in astronomy.In Chapter 1 we introduce the periodic…
(more)

Subjects/Keywords: Statistics; Astronomy; astrostatistics; classification; density estimation; measurement error; variable stars

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

APA (6^{th} Edition):

Long, J. P. (2013). Prediction Methods for Astronomical Data Observed with Measurement Error. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0s79z3hk

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Long, James Patrick. “Prediction Methods for Astronomical Data Observed with Measurement Error.” 2013. Thesis, University of California – Berkeley. Accessed January 19, 2021. http://www.escholarship.org/uc/item/0s79z3hk.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Long, James Patrick. “Prediction Methods for Astronomical Data Observed with Measurement Error.” 2013. Web. 19 Jan 2021.

Vancouver:

Long JP. Prediction Methods for Astronomical Data Observed with Measurement Error. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2021 Jan 19]. Available from: http://www.escholarship.org/uc/item/0s79z3hk.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Long JP. Prediction Methods for Astronomical Data Observed with Measurement Error. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/0s79z3hk

Not specified: Masters Thesis or Doctoral Dissertation

Rhodes University

11.
Sharp, Gary David.
Lag length selection for vector *error* correction models.

Degree: PhD, Faculty of Science, Statistics, 2010, Rhodes University

URL: http://hdl.handle.net/10962/d1002808

► This thesis investigates the problem of model identification in a Vector Autoregressive framework. The study reviews the existing research, conducts an extensive simulation based analysis…
(more)

Subjects/Keywords: Akaike Information Criterion; Mathematical models – Evaluation; Autoregression (Statistics); Error analysis (Mathematics)

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APA (6^{th} Edition):

Sharp, G. D. (2010). Lag length selection for vector error correction models. (Doctoral Dissertation). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1002808

Chicago Manual of Style (16^{th} Edition):

Sharp, Gary David. “Lag length selection for vector error correction models.” 2010. Doctoral Dissertation, Rhodes University. Accessed January 19, 2021. http://hdl.handle.net/10962/d1002808.

MLA Handbook (7^{th} Edition):

Sharp, Gary David. “Lag length selection for vector error correction models.” 2010. Web. 19 Jan 2021.

Vancouver:

Sharp GD. Lag length selection for vector error correction models. [Internet] [Doctoral dissertation]. Rhodes University; 2010. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10962/d1002808.

Council of Science Editors:

Sharp GD. Lag length selection for vector error correction models. [Doctoral Dissertation]. Rhodes University; 2010. Available from: http://hdl.handle.net/10962/d1002808

Columbia University

12.
Cai, Xiaochen.
Methods for handling measurement *error* and sources of variation in functional data models.

Degree: 2015, Columbia University

URL: https://doi.org/10.7916/D8M907CJ

► The overall theme of this thesis work concerns the problem of handling measurement *error* and sources of variation in functional data models. The first part…
(more)

Subjects/Keywords: Error analysis (Mathematics); Analysis of covariance; Biometry; Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Cai, X. (2015). Methods for handling measurement error and sources of variation in functional data models. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8M907CJ

Chicago Manual of Style (16^{th} Edition):

Cai, Xiaochen. “Methods for handling measurement error and sources of variation in functional data models.” 2015. Doctoral Dissertation, Columbia University. Accessed January 19, 2021. https://doi.org/10.7916/D8M907CJ.

MLA Handbook (7^{th} Edition):

Cai, Xiaochen. “Methods for handling measurement error and sources of variation in functional data models.” 2015. Web. 19 Jan 2021.

Vancouver:

Cai X. Methods for handling measurement error and sources of variation in functional data models. [Internet] [Doctoral dissertation]. Columbia University; 2015. [cited 2021 Jan 19]. Available from: https://doi.org/10.7916/D8M907CJ.

Council of Science Editors:

Cai X. Methods for handling measurement error and sources of variation in functional data models. [Doctoral Dissertation]. Columbia University; 2015. Available from: https://doi.org/10.7916/D8M907CJ

Hong Kong University of Science and Technology

13.
Lam, Chun Hung.
Sensitivity analysis and resampling methods on measurement * error*.

Degree: 1999, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-5081 ; https://doi.org/10.14711/thesis-b645943 ; http://repository.ust.hk/ir/bitstream/1783.1-5081/1/th_redirect.html

► *Error* in measurement is inevitable in epidemiological study. According to the classical regression model, Y=β0 + β[minute]T where Y represents the response, e.g. the occurrence…
(more)

Subjects/Keywords: Error analysis (Mathematics) ; Resampling (Statistics)

Record Details Similar Records

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APA (6^{th} Edition):

Lam, C. H. (1999). Sensitivity analysis and resampling methods on measurement error. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5081 ; https://doi.org/10.14711/thesis-b645943 ; http://repository.ust.hk/ir/bitstream/1783.1-5081/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Lam, Chun Hung. “Sensitivity analysis and resampling methods on measurement error.” 1999. Thesis, Hong Kong University of Science and Technology. Accessed January 19, 2021. http://repository.ust.hk/ir/Record/1783.1-5081 ; https://doi.org/10.14711/thesis-b645943 ; http://repository.ust.hk/ir/bitstream/1783.1-5081/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lam, Chun Hung. “Sensitivity analysis and resampling methods on measurement error.” 1999. Web. 19 Jan 2021.

Vancouver:

Lam CH. Sensitivity analysis and resampling methods on measurement error. [Internet] [Thesis]. Hong Kong University of Science and Technology; 1999. [cited 2021 Jan 19]. Available from: http://repository.ust.hk/ir/Record/1783.1-5081 ; https://doi.org/10.14711/thesis-b645943 ; http://repository.ust.hk/ir/bitstream/1783.1-5081/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam CH. Sensitivity analysis and resampling methods on measurement error. [Thesis]. Hong Kong University of Science and Technology; 1999. Available from: http://repository.ust.hk/ir/Record/1783.1-5081 ; https://doi.org/10.14711/thesis-b645943 ; http://repository.ust.hk/ir/bitstream/1783.1-5081/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

University of Arizona

14.
Foiles, Carl Luther, 1935-.
* Error* analysis of correlation estimates
.

Degree: 1960, University of Arizona

URL: http://hdl.handle.net/10150/319276

Subjects/Keywords: Correlation (Statistics); Error analysis (Mathematics)

Record Details Similar Records

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

APA (6^{th} Edition):

Foiles, Carl Luther, 1. (1960). Error analysis of correlation estimates . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/319276

Chicago Manual of Style (16^{th} Edition):

Foiles, Carl Luther, 1935-. “Error analysis of correlation estimates .” 1960. Masters Thesis, University of Arizona. Accessed January 19, 2021. http://hdl.handle.net/10150/319276.

MLA Handbook (7^{th} Edition):

Foiles, Carl Luther, 1935-. “Error analysis of correlation estimates .” 1960. Web. 19 Jan 2021.

Vancouver:

Foiles, Carl Luther 1. Error analysis of correlation estimates . [Internet] [Masters thesis]. University of Arizona; 1960. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10150/319276.

Council of Science Editors:

Foiles, Carl Luther 1. Error analysis of correlation estimates . [Masters Thesis]. University of Arizona; 1960. Available from: http://hdl.handle.net/10150/319276

University of South Carolina

15.
Li, Xiang.
Semiparametric Regression In The Presence Of Measurement * Error*.

Degree: PhD, Statistics, 2018, University of South Carolina

URL: https://scholarcommons.sc.edu/etd/4937

► The *error*-in-covariates problem has received great attention among researchers who study semiparametric and nonparametric inference for regression models over the past two decades. Without…
(more)

Subjects/Keywords: Statistics and Probability; Semiparametric; Regression; Presence; Measurement; Error

Record Details Similar Records

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

APA (6^{th} Edition):

Li, X. (2018). Semiparametric Regression In The Presence Of Measurement Error. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4937

Chicago Manual of Style (16^{th} Edition):

Li, Xiang. “Semiparametric Regression In The Presence Of Measurement Error.” 2018. Doctoral Dissertation, University of South Carolina. Accessed January 19, 2021. https://scholarcommons.sc.edu/etd/4937.

MLA Handbook (7^{th} Edition):

Li, Xiang. “Semiparametric Regression In The Presence Of Measurement Error.” 2018. Web. 19 Jan 2021.

Vancouver:

Li X. Semiparametric Regression In The Presence Of Measurement Error. [Internet] [Doctoral dissertation]. University of South Carolina; 2018. [cited 2021 Jan 19]. Available from: https://scholarcommons.sc.edu/etd/4937.

Council of Science Editors:

Li X. Semiparametric Regression In The Presence Of Measurement Error. [Doctoral Dissertation]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4937

The Ohio State University

16.
White, Staci A.
Quantifying Model *Error* in Bayesian Parameter
Estimation.

Degree: PhD, Statistics, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

► As technological power increases, statistical models are becoming increasing complex. In a Bayesian analysis, performing parametric inference typically requires exploring the posterior distribution using Markov…
(more)

Subjects/Keywords: Statistics; Model Error; Bayesian Estimation; Hierarchical Model; Approximation; Kullback-Leibler; divergence

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

APA (6^{th} Edition):

White, S. A. (2015). Quantifying Model Error in Bayesian Parameter Estimation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

Chicago Manual of Style (16^{th} Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

MLA Handbook (7^{th} Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Web. 19 Jan 2021.

Vancouver:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

Council of Science Editors:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

Virginia Tech

17.
Jinn, Nicole Mee-Hyaang.
Toward *Error*-Statistical Principles of Evidence in Statistical Inference.

Degree: MA, Philosophy, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/48420

► The context for this research is statistical inference, the process of making predictions or inferences about a population from observation and analyses of a sample.…
(more)

Subjects/Keywords: Statistical Inference; Evidential/Inferential Interpretations; Evidence; Sampling distributions; Likelihood Principle; Bayesian methods; Error Statistics; Frequentist methods; Philosophy of Statistics; Statistics Education

Record Details Similar Records

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

APA (6^{th} Edition):

Jinn, N. M. (2014). Toward Error-Statistical Principles of Evidence in Statistical Inference. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/48420

Chicago Manual of Style (16^{th} Edition):

Jinn, Nicole Mee-Hyaang. “Toward Error-Statistical Principles of Evidence in Statistical Inference.” 2014. Masters Thesis, Virginia Tech. Accessed January 19, 2021. http://hdl.handle.net/10919/48420.

MLA Handbook (7^{th} Edition):

Jinn, Nicole Mee-Hyaang. “Toward Error-Statistical Principles of Evidence in Statistical Inference.” 2014. Web. 19 Jan 2021.

Vancouver:

Jinn NM. Toward Error-Statistical Principles of Evidence in Statistical Inference. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10919/48420.

Council of Science Editors:

Jinn NM. Toward Error-Statistical Principles of Evidence in Statistical Inference. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/48420

Wayne State University

18. Lance, Michael. Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test.

Degree: PhD, Education Evaluation and Research, 2011, Wayne State University

URL: https://digitalcommons.wayne.edu/oa_dissertations/173

► Historically, it has been accepted practice for critical values for the Winsorized t test for independent samples to be based on adjusted degrees of…
(more)

Subjects/Keywords: robustness; t-test; type I error; type II error; winsorize; Educational Assessment, Evaluation, and Research; Psychology; Statistics and Probability

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

APA (6^{th} Edition):

Lance, M. (2011). Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/173

Chicago Manual of Style (16^{th} Edition):

Lance, Michael. “Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test.” 2011. Doctoral Dissertation, Wayne State University. Accessed January 19, 2021. https://digitalcommons.wayne.edu/oa_dissertations/173.

MLA Handbook (7^{th} Edition):

Lance, Michael. “Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test.” 2011. Web. 19 Jan 2021.

Vancouver:

Lance M. Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test. [Internet] [Doctoral dissertation]. Wayne State University; 2011. [cited 2021 Jan 19]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/173.

Council of Science Editors:

Lance M. Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test. [Doctoral Dissertation]. Wayne State University; 2011. Available from: https://digitalcommons.wayne.edu/oa_dissertations/173

Texas A&M University

19. Gruben, David Christopher. Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model.

Degree: MS, statistics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-G885

Subjects/Keywords: statistics.; Major statistics.; Error analysis (Mathematics); Estimation theory.

Record Details Similar Records

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

APA (6^{th} Edition):

Gruben, D. C. (2012). Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-G885

Chicago Manual of Style (16^{th} Edition):

Gruben, David Christopher. “Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model.” 2012. Masters Thesis, Texas A&M University. Accessed January 19, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-G885.

MLA Handbook (7^{th} Edition):

Gruben, David Christopher. “Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model.” 2012. Web. 19 Jan 2021.

Vancouver:

Gruben DC. Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-G885.

Council of Science Editors:

Gruben DC. Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1987-THESIS-G885

Virginia Commonwealth University

20.
Bosse, Anna L.
Comparing the Structural Components Variance Estimator and U-*Statistics* Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples.

Degree: MS, Biostatistics, 2017, Virginia Commonwealth University

URL: https://doi.org/10.25772/1XFG-8233 ; https://scholarscompass.vcu.edu/etd/5194

► Introduction: The structural components variance estimator proposed by DeLong et al. (1988) is a popular approach used when comparing two correlated AUCs. However, this…
(more)

Subjects/Keywords: Correlated AUCs; ROC curves; U-statistics; Structural Components; Power; Type 1 Error; Applied Statistics; Biostatistics; Statistical Methodology

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

APA (6^{th} Edition):

Bosse, A. L. (2017). Comparing the Structural Components Variance Estimator and U-Statistics Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples. (Thesis). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/1XFG-8233 ; https://scholarscompass.vcu.edu/etd/5194

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Bosse, Anna L. “Comparing the Structural Components Variance Estimator and U-Statistics Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples.” 2017. Thesis, Virginia Commonwealth University. Accessed January 19, 2021. https://doi.org/10.25772/1XFG-8233 ; https://scholarscompass.vcu.edu/etd/5194.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bosse, Anna L. “Comparing the Structural Components Variance Estimator and U-Statistics Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples.” 2017. Web. 19 Jan 2021.

Vancouver:

Bosse AL. Comparing the Structural Components Variance Estimator and U-Statistics Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples. [Internet] [Thesis]. Virginia Commonwealth University; 2017. [cited 2021 Jan 19]. Available from: https://doi.org/10.25772/1XFG-8233 ; https://scholarscompass.vcu.edu/etd/5194.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bosse AL. Comparing the Structural Components Variance Estimator and U-Statistics Variance Estimator When Assessing the Difference Between Correlated AUCs with Finite Samples. [Thesis]. Virginia Commonwealth University; 2017. Available from: https://doi.org/10.25772/1XFG-8233 ; https://scholarscompass.vcu.edu/etd/5194

Not specified: Masters Thesis or Doctoral Dissertation

University of Washington

21. Wheldon, Mark Christopher. Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data.

Degree: PhD, 2013, University of Washington

URL: http://hdl.handle.net/1773/22813

► Current methods for reconstructing human populations of the past by age and sex are deterministic or do not formally account for measurement *error*. I propose…
(more)

Subjects/Keywords: Bayesian hierarchical model; Cohort component model; International migration; Measurement error; Sex ratio at birth; Vital rate; Statistics; Demography; statistics

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

APA (6^{th} Edition):

Wheldon, M. C. (2013). Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/22813

Chicago Manual of Style (16^{th} Edition):

Wheldon, Mark Christopher. “Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data.” 2013. Doctoral Dissertation, University of Washington. Accessed January 19, 2021. http://hdl.handle.net/1773/22813.

MLA Handbook (7^{th} Edition):

Wheldon, Mark Christopher. “Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data.” 2013. Web. 19 Jan 2021.

Vancouver:

Wheldon MC. Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data. [Internet] [Doctoral dissertation]. University of Washington; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1773/22813.

Council of Science Editors:

Wheldon MC. Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data. [Doctoral Dissertation]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/22813

Utah State University

22.
Saunders, Garrett.
Family-Wise *Error* Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection.

Degree: PhD, Mathematics and Statistics, 2014, Utah State University

URL: https://digitalcommons.usu.edu/etd/2164

► The main aim of this dissertation is to meet real needs of practitioners in multiple hypothesis testing. The issue of multiplicity has become a…
(more)

Subjects/Keywords: Error; Rate; Control; Quatitative; Mapping; Ontology; Family; Selection; Applied Statistics; Physical Sciences and Mathematics; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Saunders, G. (2014). Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/2164

Chicago Manual of Style (16^{th} Edition):

Saunders, Garrett. “Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection.” 2014. Doctoral Dissertation, Utah State University. Accessed January 19, 2021. https://digitalcommons.usu.edu/etd/2164.

MLA Handbook (7^{th} Edition):

Saunders, Garrett. “Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection.” 2014. Web. 19 Jan 2021.

Vancouver:

Saunders G. Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection. [Internet] [Doctoral dissertation]. Utah State University; 2014. [cited 2021 Jan 19]. Available from: https://digitalcommons.usu.edu/etd/2164.

Council of Science Editors:

Saunders G. Family-Wise Error Rate Control in Quantitative Trait Loci (QTL) Mapping and Gene Ontology Graphs with Remarks on Family Selection. [Doctoral Dissertation]. Utah State University; 2014. Available from: https://digitalcommons.usu.edu/etd/2164

UCLA

23. Sosa, Luis Antonio. An Overview of Non-Linear Kernel Functions for Solving the Human Face Recognition Problem.

Degree: Statistics, 2016, UCLA

URL: http://www.escholarship.org/uc/item/9cm2x3jq

► Principal Component Analysis has been extensively used in the computer vision field as a method of capturing orthogonal axes of large variability in high-dimensional data…
(more)

Subjects/Keywords: Statistics; Computer science; Eigenface; Face Recognition; Kernel; Principal Component Analysis PCA; Reconstruction Error; Unsupervised Learning

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

APA (6^{th} Edition):

Sosa, L. A. (2016). An Overview of Non-Linear Kernel Functions for Solving the Human Face Recognition Problem. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9cm2x3jq

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sosa, Luis Antonio. “An Overview of Non-Linear Kernel Functions for Solving the Human Face Recognition Problem.” 2016. Thesis, UCLA. Accessed January 19, 2021. http://www.escholarship.org/uc/item/9cm2x3jq.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sosa, Luis Antonio. “An Overview of Non-Linear Kernel Functions for Solving the Human Face Recognition Problem.” 2016. Web. 19 Jan 2021.

Vancouver:

Sosa LA. An Overview of Non-Linear Kernel Functions for Solving the Human Face Recognition Problem. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Jan 19]. Available from: http://www.escholarship.org/uc/item/9cm2x3jq.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sosa LA. An Overview of Non-Linear Kernel Functions for Solving the Human Face Recognition Problem. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/9cm2x3jq

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

24. Agarwal, Sameer. Queries with Bounded Errors & Bounded Response Times on Very Large Data.

Degree: Computer Science, 2014, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/58m3199x

► Modern data analytics applications typically process massive amounts of data on clusters of tens, hundreds, or thousands of machines to support near-real-time decisions. The quantity…
(more)

Subjects/Keywords: Computer science; Statistics; Approximate Query Processing; Bootstrap Diagnostics; Databases; Error Estimation; Sampling

Record Details Similar Records

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

APA (6^{th} Edition):

Agarwal, S. (2014). Queries with Bounded Errors & Bounded Response Times on Very Large Data. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/58m3199x

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Agarwal, Sameer. “Queries with Bounded Errors & Bounded Response Times on Very Large Data.” 2014. Thesis, University of California – Berkeley. Accessed January 19, 2021. http://www.escholarship.org/uc/item/58m3199x.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Agarwal, Sameer. “Queries with Bounded Errors & Bounded Response Times on Very Large Data.” 2014. Web. 19 Jan 2021.

Vancouver:

Agarwal S. Queries with Bounded Errors & Bounded Response Times on Very Large Data. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2021 Jan 19]. Available from: http://www.escholarship.org/uc/item/58m3199x.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agarwal S. Queries with Bounded Errors & Bounded Response Times on Very Large Data. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/58m3199x

Not specified: Masters Thesis or Doctoral Dissertation

25.
Resendes, David Joseph.
Statistical Methods for Nonlinear Dynamic Models with Measurement *Error* Using the Ricker Model.

Degree: PhD, Mathematics, 2011, U of Massachusetts : PhD

URL: https://scholarworks.umass.edu/open_access_dissertations/474

► In ecological population management, years of animal counts are fit to nonlinear, dynamic models (e.g. the Ricker model) because the values of the parameters…
(more)

Subjects/Keywords: estimating equations; estimation; inference; measurement error; ricker; SIMEX; Mathematics; Statistics and Probability

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

APA (6^{th} Edition):

Resendes, D. J. (2011). Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/474

Chicago Manual of Style (16^{th} Edition):

Resendes, David Joseph. “Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model.” 2011. Doctoral Dissertation, U of Massachusetts : PhD. Accessed January 19, 2021. https://scholarworks.umass.edu/open_access_dissertations/474.

MLA Handbook (7^{th} Edition):

Resendes, David Joseph. “Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model.” 2011. Web. 19 Jan 2021.

Vancouver:

Resendes DJ. Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2011. [cited 2021 Jan 19]. Available from: https://scholarworks.umass.edu/open_access_dissertations/474.

Council of Science Editors:

Resendes DJ. Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model. [Doctoral Dissertation]. U of Massachusetts : PhD; 2011. Available from: https://scholarworks.umass.edu/open_access_dissertations/474

Penn State University

26. Ananda, Guruprasad. Decoding the multifactorial nature of mutation rate variation in the human genome using computational and statistical approaches.

Degree: 2012, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16177

► Whole genome sequencing and resequencing projects have provided a rich source for studying mutations. There is now substantial evidence indicating regional variation and co-variation of…
(more)

Subjects/Keywords: mutation rate variation; tandem repeats; microsatellites; multivariate statistics; NGS error correction; GALAXY project

Record Details Similar Records

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

APA (6^{th} Edition):

Ananda, G. (2012). Decoding the multifactorial nature of mutation rate variation in the human genome using computational and statistical approaches. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16177

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ananda, Guruprasad. “Decoding the multifactorial nature of mutation rate variation in the human genome using computational and statistical approaches.” 2012. Thesis, Penn State University. Accessed January 19, 2021. https://submit-etda.libraries.psu.edu/catalog/16177.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ananda, Guruprasad. “Decoding the multifactorial nature of mutation rate variation in the human genome using computational and statistical approaches.” 2012. Web. 19 Jan 2021.

Vancouver:

Ananda G. Decoding the multifactorial nature of mutation rate variation in the human genome using computational and statistical approaches. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Jan 19]. Available from: https://submit-etda.libraries.psu.edu/catalog/16177.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ananda G. Decoding the multifactorial nature of mutation rate variation in the human genome using computational and statistical approaches. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16177

Not specified: Masters Thesis or Doctoral Dissertation

27. Qiu, Siwei. Semileptonic B → D decay at nonzero recoil with 2+1 flavor of improved staggered quarks.

Degree: PhD, Physics & Astronomy, 2013, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2626/rec/2160

► The purpose of this thesis is to carry out a precise test of the standard model of particle physics, i.e., the model that describes the…
(more)

Subjects/Keywords: Error budget; Lattice; QCD; Statistics

…the
kinematic constrain. The blue band is the *error* band of f+ , while the slashed
band is… …the *error* band of f0… …x28;left) and z 3 (right). The black data points and *error* bars are for… …*error* band of f+ , the slashed band is the *error* band of f0 . When
adding experimental data… …we have better control of the *error* near kinematic
point q 2 = 0. So we see smaller *error*…

Record Details Similar Records

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

APA (6^{th} Edition):

Qiu, S. (2013). Semileptonic B → D decay at nonzero recoil with 2+1 flavor of improved staggered quarks. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2626/rec/2160

Chicago Manual of Style (16^{th} Edition):

Qiu, Siwei. “Semileptonic B → D decay at nonzero recoil with 2+1 flavor of improved staggered quarks.” 2013. Doctoral Dissertation, University of Utah. Accessed January 19, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2626/rec/2160.

MLA Handbook (7^{th} Edition):

Qiu, Siwei. “Semileptonic B → D decay at nonzero recoil with 2+1 flavor of improved staggered quarks.” 2013. Web. 19 Jan 2021.

Vancouver:

Qiu S. Semileptonic B → D decay at nonzero recoil with 2+1 flavor of improved staggered quarks. [Internet] [Doctoral dissertation]. University of Utah; 2013. [cited 2021 Jan 19]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2626/rec/2160.

Council of Science Editors:

Qiu S. Semileptonic B → D decay at nonzero recoil with 2+1 flavor of improved staggered quarks. [Doctoral Dissertation]. University of Utah; 2013. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2626/rec/2160

University of Washington

28. Arora, Rohit. Variability in Modified Estimators of VaR and ES.

Degree: 2016, University of Washington

URL: http://hdl.handle.net/1773/36481

► Modified Value-at-Risk (mVaR) and Modified Expected Shortfall (mES) are risk estimators that can be calculated without modelling the distribution of asset returns. These modifided estimators…
(more)

Subjects/Keywords: Delta-method; Estimator standard error and efficiency; Modified ES; Modified VaR; Statistics; Finance; applied mathematics

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

APA (6^{th} Edition):

Arora, R. (2016). Variability in Modified Estimators of VaR and ES. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/36481

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Arora, Rohit. “Variability in Modified Estimators of VaR and ES.” 2016. Thesis, University of Washington. Accessed January 19, 2021. http://hdl.handle.net/1773/36481.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Arora, Rohit. “Variability in Modified Estimators of VaR and ES.” 2016. Web. 19 Jan 2021.

Vancouver:

Arora R. Variability in Modified Estimators of VaR and ES. [Internet] [Thesis]. University of Washington; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1773/36481.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arora R. Variability in Modified Estimators of VaR and ES. [Thesis]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36481

Not specified: Masters Thesis or Doctoral Dissertation

University of Washington

29.
Bergen, Silas.
Spatial measurement *error* methods in air pollution epidemiology.

Degree: PhD, 2014, University of Washington

URL: http://hdl.handle.net/1773/26011

► Air pollution epidemiology cohort studies often implement a two-stage approach to estimating associations of continuous health outcomes with one or more exposures. An inherent problem…
(more)

Subjects/Keywords: air pollution epidemiology; measurement error; spatial statistics; two-stage modeling; Biostatistics; Epidemiology; biostatistics

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

APA (6^{th} Edition):

Bergen, S. (2014). Spatial measurement error methods in air pollution epidemiology. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/26011

Chicago Manual of Style (16^{th} Edition):

Bergen, Silas. “Spatial measurement error methods in air pollution epidemiology.” 2014. Doctoral Dissertation, University of Washington. Accessed January 19, 2021. http://hdl.handle.net/1773/26011.

MLA Handbook (7^{th} Edition):

Bergen, Silas. “Spatial measurement error methods in air pollution epidemiology.” 2014. Web. 19 Jan 2021.

Vancouver:

Bergen S. Spatial measurement error methods in air pollution epidemiology. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/1773/26011.

Council of Science Editors:

Bergen S. Spatial measurement error methods in air pollution epidemiology. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26011

Duke University

30. Akande, Olanrewaju Michael. Bayesian Models for Imputing Missing Data and Editing Erroneous Responses in Surveys .

Degree: 2019, Duke University

URL: http://hdl.handle.net/10161/18766

► This thesis develops Bayesian methods for handling unit nonresponse, item nonresponse, and erroneous responses in large scale surveys and censuses containing categorical data. I…
(more)

Subjects/Keywords: Statistics; Census; Measurement Error; Missing Data; Multiple Imputation; Survey Nonresponse; Survey Weights

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

APA (6^{th} Edition):

Akande, O. M. (2019). Bayesian Models for Imputing Missing Data and Editing Erroneous Responses in Surveys . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/18766

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Akande, Olanrewaju Michael. “Bayesian Models for Imputing Missing Data and Editing Erroneous Responses in Surveys .” 2019. Thesis, Duke University. Accessed January 19, 2021. http://hdl.handle.net/10161/18766.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Akande, Olanrewaju Michael. “Bayesian Models for Imputing Missing Data and Editing Erroneous Responses in Surveys .” 2019. Web. 19 Jan 2021.

Vancouver:

Akande OM. Bayesian Models for Imputing Missing Data and Editing Erroneous Responses in Surveys . [Internet] [Thesis]. Duke University; 2019. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/10161/18766.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Akande OM. Bayesian Models for Imputing Missing Data and Editing Erroneous Responses in Surveys . [Thesis]. Duke University; 2019. Available from: http://hdl.handle.net/10161/18766

Not specified: Masters Thesis or Doctoral Dissertation