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Description: |
xii, 212 pages : diagrams ; 24 cm |
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Contents Note: |
Contents: Part I: General theory -- 1. Elements of the current theory of testing statistical hypotheses -- 2. Sequential test of a statistical hypothesis: general discussion -- 3. The sequential probability ratio test for testing a simple hypotheses H₀ against a single alternative H₁ -- 4. Outline of a theory of sequential tests of simple and composite hypotheses against a set of alternatives -- Part II: Application of the general theory to special cases -- 5. Testing the mean of a binomial distribution (acceptance inspection of a lot where each unit is classified into one of two categories) -- 6. Testing the difference between the means of two binomial distributions (double dichotomies) -- 7. Testing that the mean of a normal distribution with known standard deviation falls short of a given value -- 8. Testing that the standard deviation of a normal distribution does not exceed a given value -- 9. Testing that the mean of a normal distribution with known variance is equal to a specified value -- Part III: The problem of multi-valued decisions and estimation -- 10. The choice of a hypothesis from a set of mutually exclusive hypotheses (multi-valued decision) -- 11. The problem of sequential estimation. |
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Bibliography Note: |
Includes bibliographical references and index. |