Elements of Survey Sampling

Elements of Survey Sampling

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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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Product details

  • Hardback | 390 pages
  • 156 x 234 x 23.88mm | 1,660g
  • Dordrecht, Netherlands
  • English
  • 1996 ed.
  • XVI, 390 p.
  • 0792340450
  • 9780792340454

Table of contents

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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