{"product_id":"sampling-statistics-isbn-9780470454602","title":"Sampling Statistics","description":"\u003cb\u003eDiscover the latest developments and current practices in survey sampling\u003c\/b\u003e  \u003cp\u003eSurvey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. \u003ci\u003eSampling Statistics\u003c\/i\u003e presents estimation techniques and sampling concepts to facilitate the application of model-based procedures to survey samples.\u003c\/p\u003e \u003cp\u003eThe book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population. The development of the theory of complex sampling methods is detailed, and subsequent chapters explore the construction of estimators, sample design, replication variance estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic studies in which survey data are used for the estimation of parameters for a subject matter model.\u003c\/p\u003e \u003cp\u003eThe author draws upon his extensive experience with survey samples in the book's numerous examples. Both the production of \"general use\" databases and the analytic study of a limited number of characteristics are discussed. Exercises at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques, and the references provide further resources for study.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSampling Statistics\u003c\/i\u003e is an ideal book for courses in survey sampling at the graduate level. It is also a valuable reference for practicing statisticians who analyze survey data or are involved in the design of sample surveys.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eList of Tables xi\u003c\/p\u003e \u003cp\u003eList of Principal Results xiii\u003c\/p\u003e \u003cp\u003eList of Examples xv\u003c\/p\u003e \u003cp\u003e1 Probability Sampling from a Finite Universe 1\u003c\/p\u003e \u003cp\u003e2 Use of Auxiliary Information in Estimation 95\u003c\/p\u003e \u003cp\u003e3 Use of Auxiliary Information in Design 181\u003c\/p\u003e \u003cp\u003e4 Replication Variance Estimation 251\u003c\/p\u003e \u003cp\u003e5 Models Used in Conjunction with Sampling 281\u003c\/p\u003e \u003cp\u003e6 Analytic Studies 341\u003c\/p\u003e \u003cp\u003eReferences 391\u003c\/p\u003e \u003cp\u003eIndex 449\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eWAYNE A. FULLER, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is Distinguished Professor Emeritus in the Departments of Statistics and Economics at Iowa State University. He has previously served as principal investigator on research agreements with the U.S. Census Bureau, the Natural Resources Conservation Service, the National Agricultural Statistics Service, and the Bureau of Labor Statistics. Dr. Fuller is also a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Biometric Society, and is an elected member of the International Statistical Institute. He is the author of \u003ci\u003eIntroduction to Statistical Time Series\u003c\/i\u003e and \u003ci\u003eMeasurement Error Models,\u003c\/i\u003e both published by Wiley.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDiscover the latest developments and current practices in survey sampling\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eSurvey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. \u003ci\u003eSampling Statistics\u003c\/i\u003e presents estimation techniques and sampling concepts to facilitate the application of model-based procedures to survey samples. \u003c\/p\u003e\u003cp\u003eThe book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population. The development of the theory of complex sampling methods is detailed, and subsequent chapters explore the construction of estimators, sample design, replication variance estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic studies in which survey data are used for the estimation of parameters for a subject matter model. \u003c\/p\u003e\u003cp\u003eThe author draws upon his extensive experience with survey samples in the book's numerous examples. Both the production of \"general use\" databases and the analytic study of a limited number of characteristics are discussed. Exercises at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques, and the references provide further resources for study. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSampling Statistics\u003c\/i\u003e is an ideal book for courses in survey sampling at the graduate level. It is also a valuable reference for practicing statisticians who analyze survey data or are involved in the design of sample surveys.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989987377381,"sku":"NP9780470454602","price":156.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470454602.jpg?v=1761786116","url":"https:\/\/k12savings.com\/es\/products\/sampling-statistics-isbn-9780470454602","provider":"K12savings","version":"1.0","type":"link"}