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You searched for subject:(Missing observations Statistics Methodology). Showing records 1 – 30 of 20614 total matches.

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University of Alberta

1. Zhang, Xin. Classification in the missing data.

Degree: MS, Department of Mathematical and Statistical Sciences, 2010, University of Alberta

Missing data is always a problem when it comes to data analysis. This is especially the case in anthropology when sex determination is one of… (more)

Subjects/Keywords: Missing observations (Statistics); Research  – Methodology

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APA (6th Edition):

Zhang, X. (2010). Classification in the missing data. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/mw22v608n

Chicago Manual of Style (16th Edition):

Zhang, Xin. “Classification in the missing data.” 2010. Masters Thesis, University of Alberta. Accessed October 19, 2019. https://era.library.ualberta.ca/files/mw22v608n.

MLA Handbook (7th Edition):

Zhang, Xin. “Classification in the missing data.” 2010. Web. 19 Oct 2019.

Vancouver:

Zhang X. Classification in the missing data. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2019 Oct 19]. Available from: https://era.library.ualberta.ca/files/mw22v608n.

Council of Science Editors:

Zhang X. Classification in the missing data. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/mw22v608n


University of Hong Kong

2. 鞠达; Ju, Da. Likelihood-based methods for constrained parameter problems.

Degree: PhD, 2016, University of Hong Kong

Truncated observations for some applications and parameters with a certain kind of constraints may provide a kind of prior information for the data analysis. Such… (more)

Subjects/Keywords: Missing observations (Statistics)

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APA (6th Edition):

鞠达; Ju, D. (2016). Likelihood-based methods for constrained parameter problems. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/235930

Chicago Manual of Style (16th Edition):

鞠达; Ju, Da. “Likelihood-based methods for constrained parameter problems.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed October 19, 2019. http://hdl.handle.net/10722/235930.

MLA Handbook (7th Edition):

鞠达; Ju, Da. “Likelihood-based methods for constrained parameter problems.” 2016. Web. 19 Oct 2019.

Vancouver:

鞠达; Ju D. Likelihood-based methods for constrained parameter problems. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10722/235930.

Council of Science Editors:

鞠达; Ju D. Likelihood-based methods for constrained parameter problems. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/235930


Massey University

3. Scheffer, Judith-Anne. An analysis of the missing data methodology for different types of data.

Degree: Master of Applied Statistics, 2000, Massey University

Missing data is an eternal problem in data analysis. It is widely recognised that data is costly to collect, and the methods used to deal… (more)

Subjects/Keywords: Mathematical statistics; Missing observations (Statistics); Methodology

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APA (6th Edition):

Scheffer, J. (2000). An analysis of the missing data methodology for different types of data. (Masters Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/7862

Chicago Manual of Style (16th Edition):

Scheffer, Judith-Anne. “An analysis of the missing data methodology for different types of data.” 2000. Masters Thesis, Massey University. Accessed October 19, 2019. http://hdl.handle.net/10179/7862.

MLA Handbook (7th Edition):

Scheffer, Judith-Anne. “An analysis of the missing data methodology for different types of data.” 2000. Web. 19 Oct 2019.

Vancouver:

Scheffer J. An analysis of the missing data methodology for different types of data. [Internet] [Masters thesis]. Massey University; 2000. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10179/7862.

Council of Science Editors:

Scheffer J. An analysis of the missing data methodology for different types of data. [Masters Thesis]. Massey University; 2000. Available from: http://hdl.handle.net/10179/7862


Oregon State University

4. Yang, Daniel K. Propensity score adjustments using covariates in observational studies.

Degree: PhD, Statistics, 2011, Oregon State University

 In this thesis we develop a theoretical framework for the identification of situations where the equal frequency (EF) or equal variance (EV) subclassification may produce… (more)

Subjects/Keywords: propensity scores; Missing observations (Statistics)

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APA (6th Edition):

Yang, D. K. (2011). Propensity score adjustments using covariates in observational studies. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/26304

Chicago Manual of Style (16th Edition):

Yang, Daniel K. “Propensity score adjustments using covariates in observational studies.” 2011. Doctoral Dissertation, Oregon State University. Accessed October 19, 2019. http://hdl.handle.net/1957/26304.

MLA Handbook (7th Edition):

Yang, Daniel K. “Propensity score adjustments using covariates in observational studies.” 2011. Web. 19 Oct 2019.

Vancouver:

Yang DK. Propensity score adjustments using covariates in observational studies. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1957/26304.

Council of Science Editors:

Yang DK. Propensity score adjustments using covariates in observational studies. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/26304


University of Johannesburg

5. Duma, Mlungisi Sizwe. Improving classification performance in missing insurance data.

Degree: 2013, University of Johannesburg

D.Phil. (Electrical and Electronic Engineering)

The ubiquitous missing data and its pervasiveness in large scale datasets (such as insurance datasets) have inspired research conducted on… (more)

Subjects/Keywords: Missing observations (Statistics); Insurance

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APA (6th Edition):

Duma, M. S. (2013). Improving classification performance in missing insurance data. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/8397

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

Chicago Manual of Style (16th Edition):

Duma, Mlungisi Sizwe. “Improving classification performance in missing insurance data.” 2013. Thesis, University of Johannesburg. Accessed October 19, 2019. http://hdl.handle.net/10210/8397.

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

MLA Handbook (7th Edition):

Duma, Mlungisi Sizwe. “Improving classification performance in missing insurance data.” 2013. Web. 19 Oct 2019.

Vancouver:

Duma MS. Improving classification performance in missing insurance data. [Internet] [Thesis]. University of Johannesburg; 2013. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10210/8397.

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

Council of Science Editors:

Duma MS. Improving classification performance in missing insurance data. [Thesis]. University of Johannesburg; 2013. Available from: http://hdl.handle.net/10210/8397

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


University of KwaZulu-Natal

6. Hassan, Ali Satty Ali. Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models.

Degree: MS, Statistics and actuarial science, 2012, University of KwaZulu-Natal

 Much data-based research are characterized by the unavoidable problem of incompleteness as a result of missing or erroneous values. This thesis discusses some of the… (more)

Subjects/Keywords: Statistics and actuarial science.; Missing observations (Statistics)

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

APA (6th Edition):

Hassan, A. S. A. (2012). Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models. (Masters Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/9119

Chicago Manual of Style (16th Edition):

Hassan, Ali Satty Ali. “Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models.” 2012. Masters Thesis, University of KwaZulu-Natal. Accessed October 19, 2019. http://hdl.handle.net/10413/9119.

MLA Handbook (7th Edition):

Hassan, Ali Satty Ali. “Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models.” 2012. Web. 19 Oct 2019.

Vancouver:

Hassan ASA. Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models. [Internet] [Masters thesis]. University of KwaZulu-Natal; 2012. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10413/9119.

Council of Science Editors:

Hassan ASA. Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models. [Masters Thesis]. University of KwaZulu-Natal; 2012. Available from: http://hdl.handle.net/10413/9119


University of Texas – Austin

7. Furlow, Carolyn Florence. Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data.

Degree: PhD, Educational Psychology, 2003, University of Texas – Austin

 This study compared the effects of different methods of synthesizing correlations for meta-analytic structural equation modeling (SEM) under various patterns of missingness on the estimation… (more)

Subjects/Keywords: Meta-analysis; Missing observations (Statistics); Psychology – Research – Methodology

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APA (6th Edition):

Furlow, C. F. (2003). Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/586

Chicago Manual of Style (16th Edition):

Furlow, Carolyn Florence. “Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data.” 2003. Doctoral Dissertation, University of Texas – Austin. Accessed October 19, 2019. http://hdl.handle.net/2152/586.

MLA Handbook (7th Edition):

Furlow, Carolyn Florence. “Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data.” 2003. Web. 19 Oct 2019.

Vancouver:

Furlow CF. Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2003. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2152/586.

Council of Science Editors:

Furlow CF. Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data. [Doctoral Dissertation]. University of Texas – Austin; 2003. Available from: http://hdl.handle.net/2152/586

8. Singh, Melissa. Implications of missing data designs with the use of longitudinal dataset.

Degree: PhD, 2017, Ball State University

 This study assessed various methods that account for managing missing data when analyzed with a longitudinal dataset. Moreover, the paper investigated the performance of traditional… (more)

Subjects/Keywords: Missing observations (Statistics); Longitudinal method  – Statistical methods.

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APA (6th Edition):

Singh, M. (2017). Implications of missing data designs with the use of longitudinal dataset. (Doctoral Dissertation). Ball State University. Retrieved from http://cardinalscholar.bsu.edu/handle/123456789/200685

Chicago Manual of Style (16th Edition):

Singh, Melissa. “Implications of missing data designs with the use of longitudinal dataset.” 2017. Doctoral Dissertation, Ball State University. Accessed October 19, 2019. http://cardinalscholar.bsu.edu/handle/123456789/200685.

MLA Handbook (7th Edition):

Singh, Melissa. “Implications of missing data designs with the use of longitudinal dataset.” 2017. Web. 19 Oct 2019.

Vancouver:

Singh M. Implications of missing data designs with the use of longitudinal dataset. [Internet] [Doctoral dissertation]. Ball State University; 2017. [cited 2019 Oct 19]. Available from: http://cardinalscholar.bsu.edu/handle/123456789/200685.

Council of Science Editors:

Singh M. Implications of missing data designs with the use of longitudinal dataset. [Doctoral Dissertation]. Ball State University; 2017. Available from: http://cardinalscholar.bsu.edu/handle/123456789/200685


University of Akron

9. Medvedeff, Alexander Mark. On the Interpolation of Missing Dependent Variable Observations.

Degree: MA, Economics, 2008, University of Akron

 This paper utilizes a Monte Carlo experiment to simulate random missing observations in a dataset in order to analyze the effects of how various techniques… (more)

Subjects/Keywords: Economics; Statistics; Interpolation; Missing Data; Missing Observations; Econometrics; Monte Carlo

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APA (6th Edition):

Medvedeff, A. M. (2008). On the Interpolation of Missing Dependent Variable Observations. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1208185971

Chicago Manual of Style (16th Edition):

Medvedeff, Alexander Mark. “On the Interpolation of Missing Dependent Variable Observations.” 2008. Masters Thesis, University of Akron. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208185971.

MLA Handbook (7th Edition):

Medvedeff, Alexander Mark. “On the Interpolation of Missing Dependent Variable Observations.” 2008. Web. 19 Oct 2019.

Vancouver:

Medvedeff AM. On the Interpolation of Missing Dependent Variable Observations. [Internet] [Masters thesis]. University of Akron; 2008. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1208185971.

Council of Science Editors:

Medvedeff AM. On the Interpolation of Missing Dependent Variable Observations. [Masters Thesis]. University of Akron; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1208185971


Oregon State University

10. Lu, Lin. Unconditional estimating equation approaches for missing data.

Degree: PhD, Statistics, 2007, Oregon State University

Missing data can lead to biased and inefficient estimation if the missing mechanism is not taken into account in the analysis. In this dissertation we… (more)

Subjects/Keywords: missing data; Missing observations (Statistics)

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APA (6th Edition):

Lu, L. (2007). Unconditional estimating equation approaches for missing data. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/7537

Chicago Manual of Style (16th Edition):

Lu, Lin. “Unconditional estimating equation approaches for missing data.” 2007. Doctoral Dissertation, Oregon State University. Accessed October 19, 2019. http://hdl.handle.net/1957/7537.

MLA Handbook (7th Edition):

Lu, Lin. “Unconditional estimating equation approaches for missing data.” 2007. Web. 19 Oct 2019.

Vancouver:

Lu L. Unconditional estimating equation approaches for missing data. [Internet] [Doctoral dissertation]. Oregon State University; 2007. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1957/7537.

Council of Science Editors:

Lu L. Unconditional estimating equation approaches for missing data. [Doctoral Dissertation]. Oregon State University; 2007. Available from: http://hdl.handle.net/1957/7537


Montana State University

11. Srisuradetchai, Patchanok. Robust response surface designs against missing observations.

Degree: College of Letters & Science, 2015, Montana State University

 Even though an experiment is carefully planned, some observations may be lost during the process of collecting data or may be suspicious in some way.… (more)

Subjects/Keywords: Response surfaces (Statistics).; Missing observations (Statistics).; Optimal designs (Statistics).; Robust optimization.

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APA (6th Edition):

Srisuradetchai, P. (2015). Robust response surface designs against missing observations. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9217

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

Chicago Manual of Style (16th Edition):

Srisuradetchai, Patchanok. “Robust response surface designs against missing observations.” 2015. Thesis, Montana State University. Accessed October 19, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9217.

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

MLA Handbook (7th Edition):

Srisuradetchai, Patchanok. “Robust response surface designs against missing observations.” 2015. Web. 19 Oct 2019.

Vancouver:

Srisuradetchai P. Robust response surface designs against missing observations. [Internet] [Thesis]. Montana State University; 2015. [cited 2019 Oct 19]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9217.

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

Council of Science Editors:

Srisuradetchai P. Robust response surface designs against missing observations. [Thesis]. Montana State University; 2015. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9217

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


Stellenbosch University

12. Kotze, Loamie. Markov modelling of disease progression in the presence of missing covariates.

Degree: MCom, Statistics and Actuarial Science, 2019, Stellenbosch University

ENGLISH SUMMARY : Breast cancer is a very prevalent cancer amongst women. The stages of breast cancer are influenced by characteristics such as age, hormone… (more)

Subjects/Keywords: Markov processes; Stochastic processes; Multiple imputation (Statistics); Missing observations (Statistics); Medical statistics  – Statistical methods; UCTD

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APA (6th Edition):

Kotze, L. (2019). Markov modelling of disease progression in the presence of missing covariates. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/106018

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

Chicago Manual of Style (16th Edition):

Kotze, Loamie. “Markov modelling of disease progression in the presence of missing covariates.” 2019. Thesis, Stellenbosch University. Accessed October 19, 2019. http://hdl.handle.net/10019.1/106018.

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

MLA Handbook (7th Edition):

Kotze, Loamie. “Markov modelling of disease progression in the presence of missing covariates.” 2019. Web. 19 Oct 2019.

Vancouver:

Kotze L. Markov modelling of disease progression in the presence of missing covariates. [Internet] [Thesis]. Stellenbosch University; 2019. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10019.1/106018.

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

Council of Science Editors:

Kotze L. Markov modelling of disease progression in the presence of missing covariates. [Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/106018

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

13. Guo, Xiawei CSE. Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm.

Degree: 2017, Hong Kong University of Science and Technology

 Tensor data are used widely in real-world applications, especially in completing the missing entries in partially observed multilinear data. However, most tensor problems are NP-hard,… (more)

Subjects/Keywords: Missing observations (Statistics); Mathematical models; Social networks; Data processing

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APA (6th Edition):

Guo, X. C. (2017). Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012530669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-88947/1/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 (16th Edition):

Guo, Xiawei CSE. “Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed October 19, 2019. https://doi.org/10.14711/thesis-991012530669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-88947/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Guo, Xiawei CSE. “Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm.” 2017. Web. 19 Oct 2019.

Vancouver:

Guo XC. Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2019 Oct 19]. Available from: https://doi.org/10.14711/thesis-991012530669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-88947/1/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:

Guo XC. Efficient sparse low-rank tensor completion using the Frank-Wolfe algorithm. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: https://doi.org/10.14711/thesis-991012530669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-88947/1/th_redirect.html

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


Washington State University

14. [No author]. Visualizing incomplete data in multidimensional databases .

Degree: 2006, Washington State University

Subjects/Keywords: Information visualization.; Missing observations (Statistics)

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

APA (6th Edition):

author], [. (2006). Visualizing incomplete data in multidimensional databases . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/503

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

Chicago Manual of Style (16th Edition):

author], [No. “Visualizing incomplete data in multidimensional databases .” 2006. Thesis, Washington State University. Accessed October 19, 2019. http://hdl.handle.net/2376/503.

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

MLA Handbook (7th Edition):

author], [No. “Visualizing incomplete data in multidimensional databases .” 2006. Web. 19 Oct 2019.

Vancouver:

author] [. Visualizing incomplete data in multidimensional databases . [Internet] [Thesis]. Washington State University; 2006. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2376/503.

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

Council of Science Editors:

author] [. Visualizing incomplete data in multidimensional databases . [Thesis]. Washington State University; 2006. Available from: http://hdl.handle.net/2376/503

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


University of Missouri – Columbia

15. Zhang, Bin, 1979-. Statistical analysis for survival data with missing information.

Degree: 2009, University of Missouri – Columbia

 As a branch of statistics, survival analysis, which is often referred to as "reliability theory" in engineering, has a long history. While in practical problems,… (more)

Subjects/Keywords: Survival analysis (Biometry); Missing observations (Statistics); Statistical hypothesis testing

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APA (6th Edition):

Zhang, Bin, 1. (2009). Statistical analysis for survival data with missing information. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/9664

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

Chicago Manual of Style (16th Edition):

Zhang, Bin, 1979-. “Statistical analysis for survival data with missing information.” 2009. Thesis, University of Missouri – Columbia. Accessed October 19, 2019. http://hdl.handle.net/10355/9664.

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

MLA Handbook (7th Edition):

Zhang, Bin, 1979-. “Statistical analysis for survival data with missing information.” 2009. Web. 19 Oct 2019.

Vancouver:

Zhang, Bin 1. Statistical analysis for survival data with missing information. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10355/9664.

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

Council of Science Editors:

Zhang, Bin 1. Statistical analysis for survival data with missing information. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/9664

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

16. Alshammari, Hadi O.. Prediction of rainfall in Saudi Arabia.

Degree: Thesis (M.S.), 2015, Ball State University

 Climate change has been one of the major concerns of the world. Saudi Arabia is not free from this concern. Saudi Arabia does not have… (more)

Subjects/Keywords: Rainfall probabilities  – Saudi Arabia  – Mathematical models.; Missing observations (Statistics)

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

APA (6th Edition):

Alshammari, H. O. (2015). Prediction of rainfall in Saudi Arabia. (Masters Thesis). Ball State University. Retrieved from http://cardinalscholar.bsu.edu/handle/123456789/199546

Chicago Manual of Style (16th Edition):

Alshammari, Hadi O. “Prediction of rainfall in Saudi Arabia.” 2015. Masters Thesis, Ball State University. Accessed October 19, 2019. http://cardinalscholar.bsu.edu/handle/123456789/199546.

MLA Handbook (7th Edition):

Alshammari, Hadi O. “Prediction of rainfall in Saudi Arabia.” 2015. Web. 19 Oct 2019.

Vancouver:

Alshammari HO. Prediction of rainfall in Saudi Arabia. [Internet] [Masters thesis]. Ball State University; 2015. [cited 2019 Oct 19]. Available from: http://cardinalscholar.bsu.edu/handle/123456789/199546.

Council of Science Editors:

Alshammari HO. Prediction of rainfall in Saudi Arabia. [Masters Thesis]. Ball State University; 2015. Available from: http://cardinalscholar.bsu.edu/handle/123456789/199546


Rutgers University

17. Peng, Lixian. Design of primary and sensitivity analyses for handling non-future dependence missing data in clinical trials with an emphasis on the type-i error rate using multiple imputation and pattern mixture model approach.

Degree: PhD, Statistics and Biostatistics, 2015, Rutgers University

Missing data is a common problem in longitudinal clinical trials. Substantial missing data could introduce potential biases and undermine the scientific credibility of causal conclusions… (more)

Subjects/Keywords: Sensitivity theory (Mathematics); Missing observations (Statistics); Clinical trials

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APA (6th Edition):

Peng, L. (2015). Design of primary and sensitivity analyses for handling non-future dependence missing data in clinical trials with an emphasis on the type-i error rate using multiple imputation and pattern mixture model approach. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47497/

Chicago Manual of Style (16th Edition):

Peng, Lixian. “Design of primary and sensitivity analyses for handling non-future dependence missing data in clinical trials with an emphasis on the type-i error rate using multiple imputation and pattern mixture model approach.” 2015. Doctoral Dissertation, Rutgers University. Accessed October 19, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/47497/.

MLA Handbook (7th Edition):

Peng, Lixian. “Design of primary and sensitivity analyses for handling non-future dependence missing data in clinical trials with an emphasis on the type-i error rate using multiple imputation and pattern mixture model approach.” 2015. Web. 19 Oct 2019.

Vancouver:

Peng L. Design of primary and sensitivity analyses for handling non-future dependence missing data in clinical trials with an emphasis on the type-i error rate using multiple imputation and pattern mixture model approach. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Oct 19]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47497/.

Council of Science Editors:

Peng L. Design of primary and sensitivity analyses for handling non-future dependence missing data in clinical trials with an emphasis on the type-i error rate using multiple imputation and pattern mixture model approach. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47497/


Rutgers University

18. Cheng, Jerry Q., 1965-. Bayesian methods for non-standard missing data problems.

Degree: PhD, Statistics and Biostatistics, 2010, Rutgers University

Missing data presents challenges to statistical analysis in many applications such as clinical trials, cluster detection, etc. This thesis analyzes and develops methodologies in some… (more)

Subjects/Keywords: Bayesian statistical decision theory; Missing observations (Statistics) – Mathematical models

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APA (6th Edition):

Cheng, Jerry Q., 1. (2010). Bayesian methods for non-standard missing data problems. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052996

Chicago Manual of Style (16th Edition):

Cheng, Jerry Q., 1965-. “Bayesian methods for non-standard missing data problems.” 2010. Doctoral Dissertation, Rutgers University. Accessed October 19, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052996.

MLA Handbook (7th Edition):

Cheng, Jerry Q., 1965-. “Bayesian methods for non-standard missing data problems.” 2010. Web. 19 Oct 2019.

Vancouver:

Cheng, Jerry Q. 1. Bayesian methods for non-standard missing data problems. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Oct 19]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052996.

Council of Science Editors:

Cheng, Jerry Q. 1. Bayesian methods for non-standard missing data problems. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052996


Michigan State University

19. Fahrbach, Kyle R. An investigation of methods for mixed-model meta-analysis in the presence of missing data.

Degree: PhD, Department of Counseling, Educational Psychology, and Special Education, 2001, Michigan State University

Subjects/Keywords: Meta-analysis; Missing observations (Statistics)

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APA (6th Edition):

Fahrbach, K. R. (2001). An investigation of methods for mixed-model meta-analysis in the presence of missing data. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:30765

Chicago Manual of Style (16th Edition):

Fahrbach, Kyle R. “An investigation of methods for mixed-model meta-analysis in the presence of missing data.” 2001. Doctoral Dissertation, Michigan State University. Accessed October 19, 2019. http://etd.lib.msu.edu/islandora/object/etd:30765.

MLA Handbook (7th Edition):

Fahrbach, Kyle R. “An investigation of methods for mixed-model meta-analysis in the presence of missing data.” 2001. Web. 19 Oct 2019.

Vancouver:

Fahrbach KR. An investigation of methods for mixed-model meta-analysis in the presence of missing data. [Internet] [Doctoral dissertation]. Michigan State University; 2001. [cited 2019 Oct 19]. Available from: http://etd.lib.msu.edu/islandora/object/etd:30765.

Council of Science Editors:

Fahrbach KR. An investigation of methods for mixed-model meta-analysis in the presence of missing data. [Doctoral Dissertation]. Michigan State University; 2001. Available from: http://etd.lib.msu.edu/islandora/object/etd:30765


East Carolina University

20. Siver, Sydney R. Methods for Handling Missing Data for Multiple-Item Questionnaires.

Degree: 2017, East Carolina University

Missing data is a common problem, especially in the social and behavioral sciences. Modern missing data methods are underutilized in the industrial/organizational psychology and human… (more)

Subjects/Keywords: person mean imputation; Monte Carlo; Missing observations (Statistics); Multiple imputation (Statistics); Questionnaires

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

APA (6th Edition):

Siver, S. R. (2017). Methods for Handling Missing Data for Multiple-Item Questionnaires. (Thesis). East Carolina University. Retrieved from http://hdl.handle.net/10342/6517

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

Chicago Manual of Style (16th Edition):

Siver, Sydney R. “Methods for Handling Missing Data for Multiple-Item Questionnaires.” 2017. Thesis, East Carolina University. Accessed October 19, 2019. http://hdl.handle.net/10342/6517.

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

MLA Handbook (7th Edition):

Siver, Sydney R. “Methods for Handling Missing Data for Multiple-Item Questionnaires.” 2017. Web. 19 Oct 2019.

Vancouver:

Siver SR. Methods for Handling Missing Data for Multiple-Item Questionnaires. [Internet] [Thesis]. East Carolina University; 2017. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10342/6517.

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

Council of Science Editors:

Siver SR. Methods for Handling Missing Data for Multiple-Item Questionnaires. [Thesis]. East Carolina University; 2017. Available from: http://hdl.handle.net/10342/6517

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


Baylor University

21. Powers, Stephanie L. Bayesian approach to inference and variable selection for misclassified and under-reported response models.

Degree: Statistical Sciences., 2009, Baylor University

 Response partial missingness is a problem in studies conducted in a variety of disciplines. We investigate the impact ignoring response partial missingness has on determining… (more)

Subjects/Keywords: Bayesian statistical decision theory.; Regression analysis.; Missing observations (Statistics).; Error analysis (Mathematics).; Poisson distribution.

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APA (6th Edition):

Powers, S. L. (2009). Bayesian approach to inference and variable selection for misclassified and under-reported response models. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5355

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

Chicago Manual of Style (16th Edition):

Powers, Stephanie L. “Bayesian approach to inference and variable selection for misclassified and under-reported response models. ” 2009. Thesis, Baylor University. Accessed October 19, 2019. http://hdl.handle.net/2104/5355.

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

MLA Handbook (7th Edition):

Powers, Stephanie L. “Bayesian approach to inference and variable selection for misclassified and under-reported response models. ” 2009. Web. 19 Oct 2019.

Vancouver:

Powers SL. Bayesian approach to inference and variable selection for misclassified and under-reported response models. [Internet] [Thesis]. Baylor University; 2009. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2104/5355.

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

Council of Science Editors:

Powers SL. Bayesian approach to inference and variable selection for misclassified and under-reported response models. [Thesis]. Baylor University; 2009. Available from: http://hdl.handle.net/2104/5355

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


University of Johannesburg

22. Leke, Collins Achepsah. Empirical evaluation of optimization techniques for classification and prediction tasks.

Degree: 2014, University of Johannesburg

M.Ing. (Electrical and Electronic Engineering)

Missing data is an issue which leads to a variety of problems in the analysis and processing of data in… (more)

Subjects/Keywords: Genetic algorithms; Statistical decision - Data processing; Decision support systems; Missing observations (Statistics); Computational intelligence

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APA (6th Edition):

Leke, C. A. (2014). Empirical evaluation of optimization techniques for classification and prediction tasks. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/9858

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

Chicago Manual of Style (16th Edition):

Leke, Collins Achepsah. “Empirical evaluation of optimization techniques for classification and prediction tasks.” 2014. Thesis, University of Johannesburg. Accessed October 19, 2019. http://hdl.handle.net/10210/9858.

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

MLA Handbook (7th Edition):

Leke, Collins Achepsah. “Empirical evaluation of optimization techniques for classification and prediction tasks.” 2014. Web. 19 Oct 2019.

Vancouver:

Leke CA. Empirical evaluation of optimization techniques for classification and prediction tasks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10210/9858.

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

Council of Science Editors:

Leke CA. Empirical evaluation of optimization techniques for classification and prediction tasks. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/9858

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


University of KwaZulu-Natal

23. [No author]. A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology.

Degree: Statistics, 2014, University of KwaZulu-Natal

Missing data are common in longitudinal clinical trials. Rubin described three different missing data mechanisms based on the level of dependence between the missing data… (more)

Subjects/Keywords: Missing observations (Statistics); Multivariate analysis.; Information storage and retrieval systems – Statistics, Medical.; Clinical trials – Reporting.; Statistics.

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APA (6th Edition):

author], [. (2014). A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/12350

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

Chicago Manual of Style (16th Edition):

author], [No. “A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology. ” 2014. Thesis, University of KwaZulu-Natal. Accessed October 19, 2019. http://hdl.handle.net/10413/12350.

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

MLA Handbook (7th Edition):

author], [No. “A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology. ” 2014. Web. 19 Oct 2019.

Vancouver:

author] [. A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology. [Internet] [Thesis]. University of KwaZulu-Natal; 2014. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10413/12350.

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

Council of Science Editors:

author] [. A perspective on incomplete data in longitudinal multi-arm clinical trials, with emphasis on pattern-mixture-model based methodology. [Thesis]. University of KwaZulu-Natal; 2014. Available from: http://hdl.handle.net/10413/12350

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

24. Onishi, Tamaki. Institutional influence on the manifestation of entrepreneurial orientation: A case of social investment funders.

Degree: 2014, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Linking the new institutionalism to entrepreneurial orientation (EO), my dissertation investigates institutional forces and entrepreneurial forces—two contradicting types of forces—as… (more)

Subjects/Keywords: social entrepreneurship; venture philanthropy; entrepreneurial orientation; institutional theory; moderated regression; mixed mode methods; Entrepreneurship  – Research; Social entrepreneurship  – Research  – Methodology  – Statistics; Social institutions; Social change; Venture capital  – Research; Investments  – Social aspects; Investments  – Environmental aspects; Nonprofit organizations  – Research; Nonprofit organizations  – Management; Associations, institutions, etc.  – Attitudes; Regression analysis  – Research  – Methodology; Analysis of variance  – Research  – Methodology; Multicollinearity  – Methodology; Missing observations (Statistics)  – Methodology; Risk-taking (Psychology)  – Research  – Methodology; Organizational behavior; Logistic distribution; Strategic planning; Tobits

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APA (6th Edition):

Onishi, T. (2014). Institutional influence on the manifestation of entrepreneurial orientation: A case of social investment funders. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/4656

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

Chicago Manual of Style (16th Edition):

Onishi, Tamaki. “Institutional influence on the manifestation of entrepreneurial orientation: A case of social investment funders.” 2014. Thesis, IUPUI. Accessed October 19, 2019. http://hdl.handle.net/1805/4656.

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

MLA Handbook (7th Edition):

Onishi, Tamaki. “Institutional influence on the manifestation of entrepreneurial orientation: A case of social investment funders.” 2014. Web. 19 Oct 2019.

Vancouver:

Onishi T. Institutional influence on the manifestation of entrepreneurial orientation: A case of social investment funders. [Internet] [Thesis]. IUPUI; 2014. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1805/4656.

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

Council of Science Editors:

Onishi T. Institutional influence on the manifestation of entrepreneurial orientation: A case of social investment funders. [Thesis]. IUPUI; 2014. Available from: http://hdl.handle.net/1805/4656

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

25. Johnson, Emily Nance. Permutation tests for mixed paired and two-sample designs.

Degree: 2018, University of North Carolina – Greensboro

 In this thesis we propose permutation tests of previously developed statistics for the case of mixed paired and two-sample data. We also explore the different… (more)

Subjects/Keywords: Permutations; Nonparametric statistics; Missing observations (Statistics)

…often involve missing observations at either time point. Other studies designed for two… …A permutation paired test allowing for missing values. Australian Journal of Statistics… …the issue of missing data may arise from several circumstances. Longitudinal studies will… …nonparametric tests and a way of combining two test statistics that would optimally account for both… …and weighted standardized sums of Wilcoxon signed-rank and Wilcoxon rank-sum statistics… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Johnson, E. N. (2018). Permutation tests for mixed paired and two-sample designs. (Masters Thesis). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23446

Chicago Manual of Style (16th Edition):

Johnson, Emily Nance. “Permutation tests for mixed paired and two-sample designs.” 2018. Masters Thesis, University of North Carolina – Greensboro. Accessed October 19, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23446.

MLA Handbook (7th Edition):

Johnson, Emily Nance. “Permutation tests for mixed paired and two-sample designs.” 2018. Web. 19 Oct 2019.

Vancouver:

Johnson EN. Permutation tests for mixed paired and two-sample designs. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2018. [cited 2019 Oct 19]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23446.

Council of Science Editors:

Johnson EN. Permutation tests for mixed paired and two-sample designs. [Masters Thesis]. University of North Carolina – Greensboro; 2018. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23446


University of Hong Kong

26. 戴青雲.; Tai, Ching-wan. A study on some missing value estimation algorithms for DNA microarraydata.

Degree: M. Phil., 2006, University of Hong Kong

published_or_final_version

abstract

Mathematics

Master

Master of Philosophy

Advisors/Committee Members: Ng, TW, Tsing, NK.

Subjects/Keywords: Missing observations (Statistics); DNA microarrays - Statistical methods.; Algorithms.

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APA (6th Edition):

戴青雲.; Tai, C. (2006). A study on some missing value estimation algorithms for DNA microarraydata. (Masters Thesis). University of Hong Kong. Retrieved from Tai, C. [戴青雲]. (2006). A study on some missing value estimation algorithms for DNA microarray data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3936451 ; http://dx.doi.org/10.5353/th_b3936451 ; http://hdl.handle.net/10722/51851

Chicago Manual of Style (16th Edition):

戴青雲.; Tai, Ching-wan. “A study on some missing value estimation algorithms for DNA microarraydata.” 2006. Masters Thesis, University of Hong Kong. Accessed October 19, 2019. Tai, C. [戴青雲]. (2006). A study on some missing value estimation algorithms for DNA microarray data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3936451 ; http://dx.doi.org/10.5353/th_b3936451 ; http://hdl.handle.net/10722/51851.

MLA Handbook (7th Edition):

戴青雲.; Tai, Ching-wan. “A study on some missing value estimation algorithms for DNA microarraydata.” 2006. Web. 19 Oct 2019.

Vancouver:

戴青雲.; Tai C. A study on some missing value estimation algorithms for DNA microarraydata. [Internet] [Masters thesis]. University of Hong Kong; 2006. [cited 2019 Oct 19]. Available from: Tai, C. [戴青雲]. (2006). A study on some missing value estimation algorithms for DNA microarray data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3936451 ; http://dx.doi.org/10.5353/th_b3936451 ; http://hdl.handle.net/10722/51851.

Council of Science Editors:

戴青雲.; Tai C. A study on some missing value estimation algorithms for DNA microarraydata. [Masters Thesis]. University of Hong Kong; 2006. Available from: Tai, C. [戴青雲]. (2006). A study on some missing value estimation algorithms for DNA microarray data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3936451 ; http://dx.doi.org/10.5353/th_b3936451 ; http://hdl.handle.net/10722/51851


Virginia Tech

27. Witta, Eleanor Lea. Seven methods of handling missing data using samples from a national data base.

Degree: PhD, Educational Research and Evaluation, 1992, Virginia Tech

Subjects/Keywords: Missing observations (Statistics); LD5655.V856 1992.W588

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APA (6th Edition):

Witta, E. L. (1992). Seven methods of handling missing data using samples from a national data base. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/38437

Chicago Manual of Style (16th Edition):

Witta, Eleanor Lea. “Seven methods of handling missing data using samples from a national data base.” 1992. Doctoral Dissertation, Virginia Tech. Accessed October 19, 2019. http://hdl.handle.net/10919/38437.

MLA Handbook (7th Edition):

Witta, Eleanor Lea. “Seven methods of handling missing data using samples from a national data base.” 1992. Web. 19 Oct 2019.

Vancouver:

Witta EL. Seven methods of handling missing data using samples from a national data base. [Internet] [Doctoral dissertation]. Virginia Tech; 1992. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10919/38437.

Council of Science Editors:

Witta EL. Seven methods of handling missing data using samples from a national data base. [Doctoral Dissertation]. Virginia Tech; 1992. Available from: http://hdl.handle.net/10919/38437

28. Alshammari, Abdulrahman Obaid. Modeling road accident data of Saudi Arabia.

Degree: Thesis (M.S.), 2015, Ball State University

 Road accident is considered as one of the major problems in the Kingdom of Saudi Arabia. This motivates us to do research on this particular… (more)

Subjects/Keywords: Traffic accidents  – Saudi Arabia  – Mathematical models.; Time-series analysis  – Mathematical models.; Missing observations (Statistics); Box-Jenkins forecasting.

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APA (6th Edition):

Alshammari, A. O. (2015). Modeling road accident data of Saudi Arabia. (Masters Thesis). Ball State University. Retrieved from http://cardinalscholar.bsu.edu/handle/123456789/199545

Chicago Manual of Style (16th Edition):

Alshammari, Abdulrahman Obaid. “Modeling road accident data of Saudi Arabia.” 2015. Masters Thesis, Ball State University. Accessed October 19, 2019. http://cardinalscholar.bsu.edu/handle/123456789/199545.

MLA Handbook (7th Edition):

Alshammari, Abdulrahman Obaid. “Modeling road accident data of Saudi Arabia.” 2015. Web. 19 Oct 2019.

Vancouver:

Alshammari AO. Modeling road accident data of Saudi Arabia. [Internet] [Masters thesis]. Ball State University; 2015. [cited 2019 Oct 19]. Available from: http://cardinalscholar.bsu.edu/handle/123456789/199545.

Council of Science Editors:

Alshammari AO. Modeling road accident data of Saudi Arabia. [Masters Thesis]. Ball State University; 2015. Available from: http://cardinalscholar.bsu.edu/handle/123456789/199545

29. Abbas, Anissa. Estimation of the spectral density of random signals with missing observations.

Degree: 1999, Université M'Hamed Bougara Boumerdès

84 p. : ill. ; 30 cm

Subjects/Keywords: Kalman filtering; Kalman, Filtrage de; Densité; Density; Observations manquantes (statistique); Missing observations (Statistics)

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APA (6th Edition):

Abbas, A. (1999). Estimation of the spectral density of random signals with missing observations. (Thesis). Université M'Hamed Bougara Boumerdès. Retrieved from http://dlibrary.univ-boumerdes.dz:8080123456789/1541

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

Chicago Manual of Style (16th Edition):

Abbas, Anissa. “Estimation of the spectral density of random signals with missing observations.” 1999. Thesis, Université M'Hamed Bougara Boumerdès. Accessed October 19, 2019. http://dlibrary.univ-boumerdes.dz:8080123456789/1541.

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

MLA Handbook (7th Edition):

Abbas, Anissa. “Estimation of the spectral density of random signals with missing observations.” 1999. Web. 19 Oct 2019.

Vancouver:

Abbas A. Estimation of the spectral density of random signals with missing observations. [Internet] [Thesis]. Université M'Hamed Bougara Boumerdès; 1999. [cited 2019 Oct 19]. Available from: http://dlibrary.univ-boumerdes.dz:8080123456789/1541.

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

Council of Science Editors:

Abbas A. Estimation of the spectral density of random signals with missing observations. [Thesis]. Université M'Hamed Bougara Boumerdès; 1999. Available from: http://dlibrary.univ-boumerdes.dz:8080123456789/1541

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

30. Abbas, Anissa. Estimation of the spectral density of random signals with missing observations.

Degree: 1999, Université M'Hamed Bougara Boumerdès

84 p. ; ill. ; 30 cm

Subjects/Keywords: Kalman filtering; Kalman, Filtrage de; Densité; Density; Observations manquantes (statistique); Missing observations (Statistics)

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APA (6th Edition):

Abbas, A. (1999). Estimation of the spectral density of random signals with missing observations. (Thesis). Université M'Hamed Bougara Boumerdès. Retrieved from http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/1196

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

Chicago Manual of Style (16th Edition):

Abbas, Anissa. “Estimation of the spectral density of random signals with missing observations.” 1999. Thesis, Université M'Hamed Bougara Boumerdès. Accessed October 19, 2019. http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/1196.

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

MLA Handbook (7th Edition):

Abbas, Anissa. “Estimation of the spectral density of random signals with missing observations.” 1999. Web. 19 Oct 2019.

Vancouver:

Abbas A. Estimation of the spectral density of random signals with missing observations. [Internet] [Thesis]. Université M'Hamed Bougara Boumerdès; 1999. [cited 2019 Oct 19]. Available from: http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/1196.

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

Council of Science Editors:

Abbas A. Estimation of the spectral density of random signals with missing observations. [Thesis]. Université M'Hamed Bougara Boumerdès; 1999. Available from: http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/1196

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

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