Basic Concepts of Probability and Statistics
Seiten
2004
|
2nd Revised edition
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-0-89871-575-0 (ISBN)
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-0-89871-575-0 (ISBN)
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.
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.
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.
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.
Erscheint lt. Verlag | 1.12.2004 |
---|---|
Reihe/Serie | Classics in Applied Mathematics ; Vol.48 |
Verlagsort | New York |
Sprache | englisch |
Maße | 151 x 228 mm |
Gewicht | 637 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
ISBN-10 | 0-89871-575-X / 089871575X |
ISBN-13 | 978-0-89871-575-0 / 9780898715750 |
Zustand | Neuware |
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