Complex Surveys

Analysis of Categorical Data

Authors: Mukhopadhyay, Parimal

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  • Provides a systematic exposition of the development of complex survey theory 
  • Presents the analysis of categorical data using a full model, log-linear model and logistic regression model
  • Indicates new research areas and a host of methods of analysis useful for survey practitioners
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eBook 83,29 €
price for Spain (gross)
  • ISBN 978-981-10-0871-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-981-10-0870-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-981-10-9272-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

PARIMAL MUKHOPADHYAY is a former professor of statistics at the Indian Statistical Institute, Kolkata, India. He received his PhD degree in statistics from the University of Calcutta in 1977. He also served as a faculty member at the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at the University of Montreal, University of Windsor, Stockholm University and the University of Western Australia. He has written more than seventy five research papers in survey sampling, some co-authored and eleven books on statistics. He is a member of the Institute of Mathematical Statistics and elected member of the International Statistical Institute.

Reviews

“The author does an excellent job of presenting the mathematical treatment of the analysis of complex survey data under classical categorical data analytic methodology. … For the interested reader, he also provides an extensive reference section which contains the relevant work of these researchers.” (Stephen J. Ganocy, Technometrics, Vol. 59 (3), July, 2017)

“The text contains informative literature reviews and references to background and software (a bibliography of about 250 items). … The technical material is well organized. A strength of the monograph is the combination of the two topics, given that categorical data is so dominant in (human) population surveys. This is an indispensable text for the analyst engaged in model-based analysis of survey data.” (Nicholas T. Longford, Mathematical Reviews, January, 2017)


Table of contents (8 chapters)

  • Preliminaries

    Mukhopadhyay, Parimal

    Pages 1-26

    Preview Buy Chapter 30,19 €
  • The Design Effects and Misspecification Effects

    Mukhopadhyay, Parimal

    Pages 27-66

    Preview Buy Chapter 30,19 €
  • Some Classical Models in Categorical Data Analysis

    Mukhopadhyay, Parimal

    Pages 67-96

    Preview Buy Chapter 30,19 €
  • Analysis of Categorical Data Under a Full Model

    Mukhopadhyay, Parimal

    Pages 97-133

    Preview Buy Chapter 30,19 €
  • Analysis of Categorical Data Under Log-Linear Models

    Mukhopadhyay, Parimal

    Pages 135-156

    Preview Buy Chapter 30,19 €

Buy this book

eBook 83,29 €
price for Spain (gross)
  • ISBN 978-981-10-0871-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-981-10-0870-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-981-10-9272-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Complex Surveys
Book Subtitle
Analysis of Categorical Data
Authors
Copyright
2016
Publisher
Springer Singapore
Copyright Holder
Springer Science+Business Media Singapore
eBook ISBN
978-981-10-0871-9
DOI
10.1007/978-981-10-0871-9
Hardcover ISBN
978-981-10-0870-2
Softcover ISBN
978-981-10-9272-5
Edition Number
1
Number of Pages
XV, 248
Topics