Sampling: Design and Analysis (Advanced Series)

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9780495105275: Sampling: Design and Analysis (Advanced Series)

Sharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS, 2ND EDITION, provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data.

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About the Author:

Sharon Lohr (Ph.D. in statistics, University of Wisconsin-Madison) is the Thompson Industries Dean's Distinguished Professor of Statistics at Arizona State University, where she has taught since 1990. Dr. Lohr's research focuses on survey sampling, design of experiments, and applications of statistics to social sciences and education. She has published numerous articles in journals including The Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrika, Journal of Quantitative Criminology, Wisconsin Law Review, and The American Statistician. She has served as chair of the Survey Research Methods Section of the American Statistical Association, president of the Arizona Chapter of the American Statistical Association, Fellow of the American Statistical Association, Elected Member of the International Statistical Institute, and member of the Census Advisory Committee of Professional Associations and the Statistics Canada Advisory Board on Statistical Methodology. In 2003 she received the inaugural Gertrude M. Cox Award from the Washington Statistical Society and in 2009 was selected to present the Morris Hansen Lecture.

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