Statistics in Survey Sampling

Name: Statistics in Survey Sampling
Brand: Atlantic Books
SKU: 9781032997766
Price: 8798.0 INR
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by Jae Kwang Kim

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ISBN13: 9781032997766
Binding: Hardcover
Subject: N/A
Publisher: CRC Press
Publisher Imprint: CRC Press
Publication Date: September 29, 2025
Pages: 268
Original Price: GBP 103.99
Language: English
Edition: 1
Item Weight: 708 grams
BISAC Subject(s): Probability & Statistics / General

About The Book

Statistics in Survey Sampling offers a comprehensive and rigorous introduction to the principles and practices of survey sampling. Bridging the gap between statistical theory and real-world data collection, this textbook presents both classical methods and modern developments, equipping readers with the tools to design effective surveys and make reliable inferences from sample data.

With a strong foundation in design-based inference and frequentist methodology, the book emphasizes representativeness, efficiency, and the integration of auxiliary information in estimation procedures. It also introduces emerging research topics that reflect the evolving landscape of data collection and analysis.

Key Features:

Rigorous treatment of statistical theory for design-based inference in probability sampling
Thorough exploration of model-assisted estimation techniques using auxiliary data
Coverage of modern topics including data integration, analytic inference, predictive inference, and voluntary sample analysis
Detailed examples illustrate the methods throughout the book
Focused development within the frequentist framework, with limited emphasis on Bayesian or nonparametric methods
Exercises in all chapters enable use as a course text or for self-study
Includes appendices on key background topics such as asymptotic theory and projection techniques

This textbook is ideal for graduate students in statistics with prior courses in statistical theory and linear models. It is also a valuable reference for researchers and practitioners engaged in survey design, public policy evaluation, official statistics, and data science applications involving sample-based inference.

About The Author

Jae Kwang Kim is the LAS Dean's Professor in the Department of Statistics at Iowa State University. He is a fellow of American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He is the recipient of the 2015 Gertude M. Cox award, sponsored by the Washington Statistical Society and RTI international.

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