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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.

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Contenuti

1. Collection of Survey Data.- 2. Elementary Concepts.- 3. Simple Random Sampling.- 4. Sampling with Varying Probabilities.- 5. Stratified Sampling.- 6. Systematic Sampling.- 7. Ratio and Product Methods of Estimation.- 8. Regression Method of Estimation.- 9. Two-Phase Sampling.- 10. Cluster Sampling.- 11. Multistage Sampling.- 12. Sampling from Mobile Populations.- 13. Nonresponse Errors.- Appendixes.- A. Standard normal probability distribution.- B. Random numbers.- C. Number of tractors, tube wells, and net irrigated area (in hectares) for 69 villages of Doraha development block of Punjab, India.- D. Fifty WOR simple random samples.- E. Explanation of certain local terms used.- References.- Author Index.

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9780792340454: Elements of Survey Sampling: 15

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ISBN 10:  0792340450 ISBN 13:  9780792340454
Casa editrice: Springer-Verlag GmbH, 1996
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Paperback. Condizione: new. Paperback. 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 eleven 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 will benefit from the many solved examples and exercises included.Audience: This fundamental material on sampling methods will be of interest to researchers and graduate students of statistics, business management, economics, social sciences, agriculture, and other relevant fields. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9789048147038

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch. Codice articolo 9789048147038

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 408 pp. Englisch. Codice articolo 9789048147038

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