Incomplete data matrices and tests on randomly missing data. - In: From data to knowledge / Wolfgang Gaul ... (eds.). - Berlin u.a. : Springer, 1995. - S. 133- 140. - (Studies in classification, data analysis, and knowledge organization
In the statistics literature, a number of procedures have been proposed for testing equality of seve...
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice...
In the statistics literature, a number of procedures have been proposed for testing equality of seve...
Incomplete data matrices and tests on randomly missing data. - In: From data to knowledge / Wolfgang...
Missing data are an important issue in the social sciences. Knowing about the type of missing data i...
""… this book nicely blends the theoretical material and its application through examples, and will ...
In the framework of missing data imputation, Rubin formalized three types of missing data mechanisms...
In the framework of missing data imputation, Rubin formalized three types of missing data mechanisms...
The objective of this thesis is to evaluate different methods of dealing with missing values in data...
This report reviews the effects of missing data on probability distributions which covers two main t...
Missing data is a common issue in research that, if improperly handled, can lead to inaccurate concl...
The purpose of this article is to propose a methodology involving various methods that can be used t...
Preliminaries Introduction and Preliminaries Garrett M. Fitzmaurice, Michael G. Kenward, Geert Molen...
Introduction. Missing data is a common problem in research and can produce severely misleading analy...
Missingness often occurs in data arising from longitudinal studies, inducing imbalance in the sense ...
In the statistics literature, a number of procedures have been proposed for testing equality of seve...
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice...
In the statistics literature, a number of procedures have been proposed for testing equality of seve...
Incomplete data matrices and tests on randomly missing data. - In: From data to knowledge / Wolfgang...
Missing data are an important issue in the social sciences. Knowing about the type of missing data i...
""… this book nicely blends the theoretical material and its application through examples, and will ...
In the framework of missing data imputation, Rubin formalized three types of missing data mechanisms...
In the framework of missing data imputation, Rubin formalized three types of missing data mechanisms...
The objective of this thesis is to evaluate different methods of dealing with missing values in data...
This report reviews the effects of missing data on probability distributions which covers two main t...
Missing data is a common issue in research that, if improperly handled, can lead to inaccurate concl...
The purpose of this article is to propose a methodology involving various methods that can be used t...
Preliminaries Introduction and Preliminaries Garrett M. Fitzmaurice, Michael G. Kenward, Geert Molen...
Introduction. Missing data is a common problem in research and can produce severely misleading analy...
Missingness often occurs in data arising from longitudinal studies, inducing imbalance in the sense ...
In the statistics literature, a number of procedures have been proposed for testing equality of seve...
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice...
In the statistics literature, a number of procedures have been proposed for testing equality of seve...
