Elements of Survey Sampling: 15 (Texts in the Mathematical Sciences, 15) - Hardcover

Singh, R.; Singh Mangat, Naurang

Hardcover

ISBN 10: 0792340450 ISBN 13: 9780792340454

Publisher: Springer, 1996

Synopsis

Modern statistics consists of methods which help in drawing inferences about the population under consideration. These populations may actually exist, or could be generated by repeated· experimentation. The medium of drawing inferences about the population is the sample, which is a subset of measurements selected from the population. Each measurement in the sample is used for making inferences about the population. The populations and also the methods of sample selection differ from one field of science to the other. Social scientists use surveys tocollectthe sample information, whereas the physical scientists employ the method of experimentation for obtaining this information. This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design. Several excellent books on sampling theory are available in the market. These books discuss the theory of sample surveys in great depth and detail, and are suited to the postgraduate students majoring in statistics. Research workers in the field of sampling methodology can also make use of these books. However, not many suitable books are available, which can be used by the students and researchers in the fields of economics, social sciences, extension education, agriculture, medical sciences, business management, etc. These students and workers usually conduct sample surveys during their research projects.

About this title

Synopsis

This volume serves as an elementary textbook and reference book in sampling methods. The first two chapters provide the basis for the different techniques which are treated in detail in the remaining 11 chapters. Chapters 3-6 deal with basic sampling schemes such as simple random sampling, unequal probability sampling, stratified sampling, and systematic sampling. Chapters 7 and 8 cover ratio, product, and regression estimators, while in Chapters 9-11 other sampling schemes are discussed, such as multiphase, cluster, and multistage sampling. Chapter 12 is devoted to the estimation of the size of mobile populations, and the last chapter considers techniques for dealing with nonresponse and surveys involving confidential data. The material presented uses only elementary algebraic symbols. Formulas appropriate to different sampling strategies have been presented without proofs. Important definitions and algebraic expressions have been placed in boxes to enable quick overviews. Readers should benefit from the many solved examples and exercises included.

Edition details

• Publisher: Springer
• Publication date: 1996
• Language: English
• ISBN 10: 0792340450
• ISBN 13: 9780792340454
• Binding: Hardcover
• Number of pages: 406