Complex Surveys

Analysis of Categorical Data

Parimal Mukhopadhyay (Autor)

Buch | Softcover

248 Seiten

2018 | Softcover reprint of the original 1st ed. 2016
Springer Verlag, Singapore
978-981-10-9272-5 (ISBN)

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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 surveydesigns 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.

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.

Chapter 1. Preliminaries.- Chapter 2. The Design-Effects and Mis-Speciﬁcation Effects.- Chapter 3. Some Classical Models in Categorical Data Analysis.- Chapter 4. Analysis of Categorical Data under a Full Model.- Chapter 5. Analysis of Categorical Data under Log-Linear Models.- Chapter 6. Analysis of Categorical Data under Logistic Regression Model.- Chapter 7. Analysis in the Presence of Classiﬁcation Errors.- Chapter 8. Approximate MLE’s from Survey Data.

Erscheinungsdatum	18.08.2018
Zusatzinfo	XV, 248 p.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
Schlagworte	categorical data • full model • Logistic Regression Model • Log-linear Model • Multinomial distribution • Nested Model • Superpopulation Models • Survey Sampling • variance estimation
ISBN-10	981-10-9272-9 / 9811092729
ISBN-13	978-981-10-9272-5 / 9789811092725
Zustand	Neuware