Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

Основной контент книги Statistical Analysis with Missing Data
Text PDF

Volume 409 pages

0+

Statistical Analysis with Missing Data

Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$216

About the book

Praise for the First Edition of Statistical Analysis with Missing Data «An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area.» —William E. Strawderman, Rutgers University «This book…provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician’s bookshelf.» —The Statistician «The book should be studied in the statistical methods department in every statistical agency.» —Journal of Official Statistics Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. The first edition of Statistical Analysis with Missing Data has been a standard reference on missing-data methods. Now, reflecting extensive developments in Bayesian methods for simulating posterior distributions, this Second Edition by two acknowledged experts on the subject offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing-data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing-data mechanism and apply the theory to a wide range of important missing-data problems. The new edition now enlarges its coverage to include: Expanded coverage of Bayesian methodology, both theoretical and computational, and of multiple imputation Analysis of data with missing values where inferences are based on likelihoods derived from formal statistical models for the data-generating and missing-data mechanisms Applications of the approach in a variety of contexts including regression, factor analysis, contingency table analysis, time series, and sample survey inference Extensive references, examples, and exercises Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Analysis With Missing Data was among those chosen.

Genres and tags

Log in, to rate the book and leave a review
Book «Statistical Analysis with Missing Data» — read online on the website. Leave comments and reviews, vote for your favorites.
Age restriction:
0+
Release date on Litres:
20 August 2019
Volume:
409 p.
ISBN:
9781118625866
Total size:
4.1 МБ
Total number of pages:
409
Copyright holder:
John Wiley & Sons Limited
Text, audio format available
Average rating 4,7 based on 303 ratings
Text, audio format available
Average rating 4,8 based on 17 ratings
Audio
Average rating 4,2 based on 744 ratings
Text, audio format available
Average rating 4,8 based on 95 ratings
Text
Average rating 5 based on 20 ratings
Audio
Average rating 4,5 based on 4 ratings
Text, audio format available
Average rating 4,3 based on 50 ratings
Text PDF
Average rating 0 based on 0 ratings