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Series on Multivariate Analysis - Vol. 3
MATHEMATICAL METHODS IN SAMPLE SURVEYS
by Howard G Tucker (University of California, Irvine)
This book is about both the mathematics of sample surveys and about sample surveys. The mathematics is both elementary and rigorous. It is suitable for a one year junior-senior level course for mathematics and statistics majors as well as for students in the social sciences who are not handicapped by a fear of proofs in mathematics. It requires no previous knowledge of statistics, and it could actually serve as an introduction to statistics. A sizeable part of the book covers the discrete probability needed for the sampling methods covered. Topics then covered are: simple random sampling, sampling with unequal probabilities, linear relationships, stratified sampling, cluster sampling and two-stage sampling.
Contents:
- Events and Probability
- Random Variables
- Expectation
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Conditional Expectation
- Limit Theorems
- Simple Random Sampling
- Unequal Probability Sampling
- Linear Relationships
- Stratified Sampling
- Cluster Sampling
- Two-Stage Sampling
Readership: Mathematical statisticians.
"The book is well written and could serve as a very good supplement to more traditional courses in mathematical statistics. It could also be recommended to interested students as a supplementary reading."
| 216pp |
Pub. date: Oct 1998 |
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