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Total Survey Design, 1st ed. 2019 Tackling Multiple Sources of Errors

Langue : Anglais

Auteur :

Couverture de l’ouvrage Total Survey Design

This book discusses the various aspects of total survey design and shows how survey statisticians can refine adjustment procedures throughout the survey to make the inference population and inference parameters closer to the target population and target parameters, despite unavoidable deficiencies at the frame formation and selection stages. Further, it addresses sample selection and implementation, schedule/questionnaire design preparation, and data collection.

The book delineates multiple sources of errors, including errors due to non-observation, i.e. failure to secure data from some of the selected respondents, and those due to measurement errors during data collection and data processing. It also shows why, given sufficient evidence of different sources of error and their interrelationships, it is important to develop a Total Error Model for survey estimates, since attempts to reduce or control errors of one type may have adverse effects on other components of total error. Moreover, it examines the nature of the total error-type models, namely those that accommodate several sources of error in order to estimate more complex parameters than the total or mean alone. Lastly, it reveals why the development of appropriate cost models is essential in the context of total survey design. As such, the book offers an insightful and valuable resource for researchers and professionals/practitioners alike.

Chapter 1: Introduction to Non-sampling Errors versus Sampling Errors.- Chapter 2: Basics steps in Implementation of Sampling Methodologies.- Chapter 3: A Conceptual Framework for Survey Operations.- Chapter 4: Practical Survey Design.- Chapter5: Frames, Definitions and Frame Errors.- Chapter 6: Quantification of Frame Errors.- Chapter 7:Non-response - Background and Terminology.- Chapter 8: Effects of Non-response on Survey Results.- Chapter 9: Dealing with Non-response Problems.- Chapter 10: Survey Measurements and Measurement Errors.- Chapter 11: Quantifying Measurement Errors.- Chapter 12: Total Survey Design.- References.- Subject / Author Index.

Pulakesh Chandra Maiti is a Professor at the Economic Research Unit of the Indian Statistical Institute, Kolkata, and obtained his Ph.D. (Statistics) degree from the same institute. His expertise includes survey sampling methodology, and in his academic/professional capacity, he has travelled to numerous countries in Asia, Europe, Africa and other continents. He was a chief research specialist (Sampling) in South Africa where he was attached to the Centre of Statistics, Human Sciences Research Council, Pretoria (January 1995-December 1996). He has been invited to serve on working groups of different rounds of the National Sample Survey (NSS), Government of India (GOI). He has  also been invited by various governments in India and abroad to take part in as many as twenty-one research projects. These research projects include problems from diverse fields such as Social Sciences, Agricultural Sciences, Medical Science, Earth Science, Business Research and Management Science.

His was invited by the Government of India (GOI) to work on "Development of Statistical Information System for Decentralised Planning", which is preserved in Prasanta Chandra Mahalanobis Archives and Museum, Kolkata, India.

Professor Maiti has published nearly one-hundred research papers in national/international journals, conference proceedings and has contributed philosophical essays to books on mathematics and statistics.   He is the recipient of many national and international awards in recognition of his research and teaching, such as, Leading Scientists of the World Award (2003) by International Biographical Center, Cambridge, England, and  Lifetime Achievement award by Venus International Foundation. 

Provides a rigorous study of the analysis of survey data based on surveys conducted in the Indian subcontinent

Focuses on non-sampling errors, sources, and methods of rectification in terms of formulae and rationale—a must for large-scale sample surveys

Presents the theory and applications of survey sampling techniques

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