9780824703790-0824703790-Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs)

Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs)

4.4 Rate this book
ISBN-13: 9780824703790
ISBN-10: 0824703790
Edition: 1
Author: Nitis Mukhopadhyay
Publication date: 2000
Publisher: CRC Press
Format: Hardcover 690 pages
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Book details

ISBN-13: 9780824703790
ISBN-10: 0824703790
Edition: 1
Author: Nitis Mukhopadhyay
Publication date: 2000
Publisher: CRC Press
Format: Hardcover 690 pages

Summary

Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs) (ISBN-13: 9780824703790 and ISBN-10: 0824703790), written by authors Nitis Mukhopadhyay, was published by CRC Press in 2000. With an overall rating of 4.4 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $9.47.

Description

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 CramĂ©r-Rao inequality
  • discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-ScheffĂ© 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.
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