Stochastic modeling and mathematical statistics a text for statisticians and quantitative scientists

Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book's conv...

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Bibliographic Details
Main Author: Samaniego, Francisco J. (Author)
Format: Book
Language:English
Published: Boca Raton CRC Press, Taylor & Francis Group [2014]
Series:Texts in statistical science
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100 1 |a Samaniego, Francisco J.  |e author 
245 1 0 |a Stochastic modeling and mathematical statistics  |b a text for statisticians and quantitative scientists  |c Francisco J. Samaniego 
264 1 |a Boca Raton  |b CRC Press, Taylor & Francis Group  |c [2014] 
264 4 |c ©2014 
300 |a xx, 602 pages  |b illustrations  |c 26 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
490 1 |a Texts in statistical science 
504 |a Includes bibliographical references and index 
505 0 |a 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 
520 |a Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book's conversational tone, which provides the mathematical justification behind widely used statistical methods in a reader-friendly manner, and the book's many examples, tutorials, exercises and problems for solution, together constitute an effective resource that students can read and learn from and instructors can count on as a worthy complement to their lectures. 
592 |a 32736  |b 21/12/16  |c RM316.58  |h Bookline 
650 0 |a Mathematical statistics 
650 0 |a Stochastic models 
830 0 |a Texts in statistical science 
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