Publications
7 shownMissing Values in Multivariate Analysis
Summary This paper presents computational results for some alternative methods of analysing multivariate data with missing values. We recommend an algorithm due to Orchard and W...
A Test of Missing Completely at Random for Multivariate Data with Missing Values
Abstract A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether missingness...
A Note About Models for Selectivity Bias
On decrit une representation tabulaire simplifiee qui fait ressortir une hypothese structurale implicite importante dans des modeles de selection bases sur la censure
Statistical Analysis With Missing Data
Preface.PART I: OVERVIEW AND BASIC APPROACHES.Introduction.Missing Data in Experiments.Complete-Case and Available-Case Analysis, Including Weighting Methods.Single Imputation M...
Statistical Analysis with Missing Data
Preface.PART I: OVERVIEW AND BASIC APPROACHES.Introduction.Missing Data in Experiments.Complete-Case and Available-Case Analysis, Including Weighting Methods.Single Imputation M...
Frequent Co-Authors
Researcher Info
- h-index
- 7
- Publications
- 7
- Citations
- 37,269
- Institution
- Imperial Valley College
External Links
Identifiers
- ORCID
- 0000-0001-9878-6977
Impact Metrics
h-index: Number of publications with at least h citations each.