Stochastic Modeling and Mathematical Statistics

A Text for Statisticians and Quantitative Scientists

AvFrancisco J. Samaniego

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PDF, Engelska, 2014

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Beskrivning

This book is intended as a text for a two-quarter or two-semester post-calculus introduction to probability and mathematical statistics for undergraduate students in their junior or senior year, and also for graduate students in the quantitative sciences (e.g., agriculture, computer science, ecology, economics, engineering, epidemiology, genetics, psychology, and many others). The book designed to effectively serve two different audiences (a) majors and minors in mathematics and statistics and (b) students in quantitative disciplines with the appropriate mathematical background and with a serious interest of understanding probability and statistics at the foundational level.

Produktinformation

Utgivningsdatum:2014-01-14
Språk:Engelska
Filformat:PDF
Kopieringsskydd:LCP
ISBN:9781466560475
Förlag:Taylor & Francis Inc
Serie:Chapman & Hall/CRC Texts in Statistical Science

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Mer om författaren

F. J. Samaniego has served on the faculty of the University of California, Davis, for four decades, teaching upper division courses on probability and mathematical statistics numerous times. In 2002, he received the UCD Academic Senate Distinguished Teaching Award. He was the 2004 recipient of the Davis Prize for Undergraduate Teaching and Scholarly Achievement.

Recensioner i media

"Stochastic Modeling and Mathematical Statistics is a new and welcome addition to the corpus of undergraduate statistical textbooks in the market. The singular thing that struck me when I initially perused the book was its lucid and endearing conversational tone, which pervades the entire text. It radiated warmth. ... In my course at the University of Michigan, I rely primarily on my own lecture notes and have used Rice as supplementary material. Having gone through this text, I am strongly inclined to add this to the supplementary list as well. I have little doubt that this book will be very successful as a course textbook in the years to come." -International Statistical Review, 82, 2014

Innehållsförteckning

The Calculus of Probability. Discrete Probability Models. Continuous Probability Models. Multivariate Models. Limit Theorems and Related Topics. Statistical Estimation: Fixed Sample Size Theory. Statistical Estimation: Asymptotic Theory. Interval Estimation. The Bayesian Approach to Estimation. Hypothesis Testing. Estimation and Testing for Linear Models. Nonparametric Statistical Methods. Tables. Bibliography. Index.