Missing Data Analysis in Practice (Chapman & Hall/CRC Interdisciplinary Statistics) - Tapa dura

Libro 25 de 45: Chapman & Hall/CRC Interdisciplinary Statistics

Raghunathan, Trivellore

 
9781482211924: Missing Data Analysis in Practice (Chapman & Hall/CRC Interdisciplinary Statistics)

Sinopsis

Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online.

The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference.

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Acerca del autor

Trivellore Raghunathan is the director of the Survey Research Center in the Institute for Social Research and professor of biostatistics in the School of Public Health at the University of Michigan. He has published numerous papers in a range of statistical and public health journals. His research interests include applied regression analysis, linear models, design of experiments, sample survey methods, and Bayesian inference.

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Otras ediciones populares con el mismo título

9780367737665: Missing Data Analysis in Practice (Chapman & Hall/CRC Interdisciplinary Statistics)

Edición Destacada

ISBN 10:  0367737663 ISBN 13:  9780367737665
Editorial: Routledge, 2020
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