Missing data analysis in practice

Missing data analysis in practice

Raghunathan, Trivellore

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Κατηγορίες:

Science (General)
Mathematics - Mathematical Statistics

Έτος:

2015

Εκδότης:

CRC Press

Γλώσσα:

english

Σελίδες:

203

ISBN 10:

1482211939

ISBN 13:

9781482211931

Σειρές:

Interdisciplinary statistics

Αρχείο:

PDF, 2.49 MB

IPFS:

,

english, 2015

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Ίσως σας ενδιαφέρει

Panel on Handling Missing Data in Clinical Trials, National Research Council — The Prevention and Treatment of Missing Data in Clinical Trials

J.L. Schafer — Analysis of Incomplete Multivariate Data

Geert Molenberghs, Michael Kenward — Missing Data in Clinical Studies (Statistics in Practice)

James Carpenter, Michael Kenward — Multiple Imputation and its Application

Donald B. Rubin — Multiple Imputation for Nonresponse in Surveys (Wiley Series in Probability and Statistics)

Paul D. Allison — Missing Data

Adam Davey, Jyoti Savla — Statistical Power Analysis with Missing Data. A Structural Equation Modeling Approach

Mark J. Bennett, Dirk L. Hugen — Financial Analytics with R. Building a Laptop Laboratory for Data Science

Michael O'Kelly, Bohdana Ratitch — Clinical Trials with Missing Data: A Guide for Practitioners

Efromovich, Sam — Missing and modified data in nonparametric estimation

Michael J. Daniels, Joseph W. Hogan — Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Chapman & Hall CRC Monographs on Statistics & Applied Probability)

Ming T. Tan, Guo-Liang Tian, Kai Wang Ng — Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation (Chapman & Hall/CRC Biostatistics Series)

Tang, Wan; He, Hua; Tu, Xin M — Applied categorical and count data analysis

Stef van Buuren — Flexible Imputation of Missing Data

Kim, Jae Kwang; Shao, Jun — Statistical Methods for Handling Incomplete Data

Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu — Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (Chapman & Hall/CRC Interdisciplinary Statistics)

Zozus, Meredith Nahm — The data book : collection and management of research data

Patrick E. McKnight PhD, Katherine M. McKnight PhD, Souraya Sidani PhD, Aurelio Jose Figueredo PhD — Missing Data: A Gentle Introduction

Tshilidzi Marwala — Computational intelligence for missing data imputation, estimation and management: knowledge optimization techniques

Craig K. Enders PhD — Applied Missing Data Analysis (Methodology In The Social Sciences)

Patricia Berglund, Steven G. Heeringa — Multiple Imputation of Missing Data Using SAS

Peter Schryvers — Bad Data: Why We Measure the Wrong Things and Often Miss the Metrics That Matter

Mike Larsen (Executive Editor) — Chance Vol.21 - No.3 - 2008 issue 3

IBM — IBM SPSS Missing Values 26

Samuel Kotz (Editor) — Encyclopedia of Statistical Sciences

pushpalatha — "Front Matter". In: Analysis of Survey Data

Watanabe M.(Ed), Yamaguchi K. — The EM Algorithm and Related Statistical Models

Patrick Dattalo — Strategies to Approximate Random Sampling and Assignment (Pocket Guides to Social Work Research Methods)

Frans E.S. Tan, Shahab Jolani — Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations

Samuel Kotz — Breakthroughs in Statistics: Volume II: Methodology and Distribution (Springer Series in Statistics Perspectives in Statistics)

Susanne Rässler (auth.) — Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches

C.R. Rao, J. Philip Miller, D.C. Rao — Handbook of Statistics: Epidemiology and Medical Statistics

Danny Pfeffermann, C.R. Rao — Handbook of Statistics_29B, Volume 29: Sample Surveys: Inference and Analysis

Danny Pfeffermann, C.R. Rao — Handbook of statistics 29B Sample Surveys: Inference and Analysis

Carl-Erik Särndal, Sixten Lundström — Estimation in Surveys with Nonresponse (Wiley Series in Survey Methodology)

Andrew Gelman, Xiao-Li Meng — Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

James R. Carpenter, Michael G. Kenward(auth.) — Multiple Imputation and its Application

Samuel Kotz (Editor) — Encyclopedia of Statistical Sciences

R. L. Chambers, C. J. Skinner — Analysis of Survey Data (Wiley Series in Survey Methodology)

Guido W. Imbens, Donald B. Rubin — Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Eun Sul Lee, Ronald N. Forthofer — Analyzing Complex Survey Data

Michiko Watanabe, Kazunori Yamaguchi — The EM Algorithm and Related Statistical Models (Statistics: a Series of Textbooks and Monographs)

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