This book provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
This is a thorough introduction to fundamental ideas in modern statistics for readers without a calculus background. The only book at this level to discuss modern concepts of hypothesis testing and estimation, it maintains an up-to-date outlook despite being published in 1970. Extensive problem sets and selected answers are provided.
Preface; Part I. Probability: 1. Probability models; 2. Sampling; 3. Product models; 4. Conditional probability; 5. Random variables; 6. Special distributions; 7. Multivariate distributions; Part II. Statistics. Introduction to Statistics: 8. Estimation; 9. Estimation in measurement and sampling models; 10. Optimum methods of estimation; 11. Tests of significance; 12. Tests for comparative experiments; 13. Concept of power; Tables; Selected answers to problems; Index; Example index.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Destinazione, tempi e costiDa: Grey Matter Books, Hadley, MA, U.S.A.
Paperback. Condizione: Very Good. Second edition. Text is unmarked; pages are bright. Binding is sturdy. Covers show very little wear. 441pp. Codice articolo 067352
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Da: moluna, Greven, Germania
Condizione: New. This is a thorough introduction to fundamental ideas in modern statistics for readers without a calculus background. The only book at this level to discuss modern concepts of hypothesis testing and estimation, it maintains an up-to-date outlook despite bein. Codice articolo 898975883
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - Basic Concepts of Probability and Statistics 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. Although published in 1970, it maintains a modern outlook, especially with such topics as models and model building, simple random and stratified survey sampling, experimental design, and nonparametric tests and its discussion of power. The book covers a wide range of applications in manufacturing, biology, and social science, including demographics, political science, and sociology. Each section offers extensive problem sets, with selected answers provided. Among the topics covered that readers may not expect in an elementary text are optimal design and a statement and proof of the fundamental (Neyman-Pearson) lemma for hypothesis testing. Codice articolo 9780898715750
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