Priced very competitively compared with other textbooks at this level!

This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.

Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference

Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.

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..."the book contains unique features throughout. Examples are the moment problem, which is clarified through a nice example, the role of the probability generating functions, and the central limit theorem for the sample variance. Techniques and concepts are typically illustrated through a series of examples. Within a box is routinely summarized what it is that has been accomplished or where to go from that point. At the end of each chapter a long list of exercises is arranged according the sections." ---Zentralblatt fur Mathematik, 2000 "a marvelous book for students." -Statistical Papers "a handy reference as well as a good textbook." -International Statistical Institute, Short Book Reviews

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ISBN 10: 0824703790
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**Book Description **Taylor Francis Inc, United States, 2000. Hardback. Condition: New. UK ed.. Language: English . Brand New Book. Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference * studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions * develops notions of convergence in probability and distribution * spotlights the central limit theorem (CLT) for the sample variance * introduces sampling distributions and the Cornish-Fisher expansions * concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity * explains Basu s Theorem as well as location, scale, and location-scale families of distributions * covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramer-Rao inequality * discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffe Theorems * focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals * includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient * summarizes Bayesian methods * describes the monotone likelihood ratio (MLR) property * handles variance stabilizing transformations * provides a historical context for statistics and statistical discoveries * showcases great statisticians through biographical notes Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory. Seller Inventory # AAZ9780824703790

Published by
Taylor Francis Inc, United States
(2000)

ISBN 10: 0824703790
ISBN 13: 9780824703790

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Hardcover
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**Book Description **Taylor Francis Inc, United States, 2000. Hardback. Condition: New. UK ed.. Language: English . Brand New Book. Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference * studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions * develops notions of convergence in probability and distribution * spotlights the central limit theorem (CLT) for the sample variance * introduces sampling distributions and the Cornish-Fisher expansions * concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity * explains Basu s Theorem as well as location, scale, and location-scale families of distributions * covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramer-Rao inequality * discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffe Theorems * focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals * includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient * summarizes Bayesian methods * describes the monotone likelihood ratio (MLR) property * handles variance stabilizing transformations * provides a historical context for statistics and statistical discoveries * showcases great statisticians through biographical notes Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory. Seller Inventory # AAZ9780824703790

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(2000)

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**Book Description **Taylor and Francis 2000-03-22, New York, 2000. hardback. Condition: New. Seller Inventory # 9780824703790

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**Book Description **CRC Press, 2000. Hardcover. Condition: New. Never used!. Seller Inventory # P110824703790

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**Book Description **CRC Press. Hardcover. Condition: New. 0824703790 Brand New ,Original Book , Direct from Source , Express 5-8 business days worldwide delivery. Seller Inventory # DG#I344932

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**Book Description **Condition: New. Bookseller Inventory # ST0824703790. Seller Inventory # ST0824703790

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**Book Description **CRC Press, 2000. Condition: New. book. Seller Inventory # ria9780824703790_rkm

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**Book Description **Taylor & Francis Inc, 2000. Condition: New. Presents the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. This book covers various topics typically addressed in a two-semester course in probability and statistical inference. Series: Statistics: A Series of Textbooks and Monographs. Num Pages: 665 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 160 x 230 x 44. Weight in Grams: 1154. . 2000. 1st Edition. Hardcover. . . . . . Seller Inventory # V9780824703790

Published by
CRC Press
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ISBN 10: 0824703790
ISBN 13: 9780824703790

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**Book Description **CRC Press, 2000. HRD. Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Seller Inventory # GB-9780824703790