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    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
    • 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.”
    Mathematical Reviews

     
    216pp    Pub. date: Oct 1998  
    ISBN:   978-981-02-2617-6
    981-02-2617-9
       US$30 / £22

     


     

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    Updated on 20 November 2009