Complex Surveys - Analysis of Categorical Data (Paperback, Softcover reprint of the original 1st ed. 2016)

The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters' behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex survey designs like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed - an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	May 2018
First published:	2016
Authors:	Parimal Mukhopadhyay
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	248
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-981-10-9272-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Business & Economics > Economics > Econometrics > Economic statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN:	981-10-9272-9
Barcode:	9789811092725

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