Sampling Statistics (eBook)

Wayne A. Fuller (Autor)

eBook Download: PDF

2009 | 1. Auflage
472 Seiten
John Wiley & Sons (Verlag)
978-0-470-52354-4 (ISBN)

Infos

Discover the latest developments and current practices in survey
sampling

Survey 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. Sampling Statistics
presents estimation techniques and sampling concepts to facilitate
the application of model-based procedures to survey samples.

The 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.

The 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.

Sampling Statistics 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.

Autor

WAYNE A. FULLER, PHD, 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 Introduction to Statistical Time Series and Measurement Error Models, both published by Wiley.

Inhalt

Preface ix

List of Tables xi

List of Principal Results xiii

List of Examples xv

1 Probability Sampling from a Finite Universe 1

2 Use of Auxiliary Information in Estimation 95

3 Use of Auxiliary Information in Design 181

4 Replication Variance Estimation 251

5 Models Used in Conjunction with Sampling 281

6 Analytic Studies 341

References 391

Index 449

Produkt-Details

• Erscheint lt. Verlag: 17.8.2009
• Reihe/Serie: Wiley Series in Survey Methodology
• Reihe/Serie: Wiley Series in Survey Methodology
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Evaluation & Research Methods • Evaluierung u. Researchmethoden • Methoden der Daten- u. Stichprobenerhebung • Statistics • Statistik • Survey Research Methods & Sampling
• ISBN-10: 0-470-52354-9 / 0470523549
• ISBN-13: 978-0-470-52354-4 / 9780470523544