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Basic concepts of probability and statistics
Society for Industrial and Applied Mathematics
1 online resource (xiii, 441 pages) : illustrations.
"This book provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background. It is the only book at this level to introduce readers to modern concepts of hypothesis testing and estimation, covering basic concepts of finite, discrete models of probability and elementary statistical methods. It is intended for high school and undergraduate students as well as others who want a mathematically rigorous introduction to probability and statistics that does not require calculus."--BOOK JACKET.
1. Probability models -- 2. Sampling -- 3. Product models -- 4. Conditional probability -- 5. Random variables -- 6. Special distributions -- 7. Multivariate distributions -- 8. Estimation -- 9. Estimation in measurement and sampling models -- 10. Optimum methods of estimation -- 11. Tests of significance -- 12. Tests for comparative experiments -- 13. The concept of power.
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Includes bibliographical references and indexes.
Hodges, J.L. (Joseph Lawson), 1922-2000.
Philadelphia : Society for Industrial and Applied Mathematics, ©2005