9781584881780-158488178X-Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science)

Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science)

ISBN-13: 9781584881780
ISBN-10: 158488178X
Edition: 1
Author: Knight, Keith
Publication date: 1999
Publisher: Chapman and Hall/CRC
Format: Hardcover 504 pages
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Book details

ISBN-13: 9781584881780
ISBN-10: 158488178X
Edition: 1
Author: Knight, Keith
Publication date: 1999
Publisher: Chapman and Hall/CRC
Format: Hardcover 504 pages

Summary

Acknowledged authors Knight, Keith wrote Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science) comprising 504 pages back in 1999. Textbook and eTextbook are published under ISBN 158488178X and 9781584881780. Since then Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow students to understand the theoretical underpinnings of statistical methodology.

The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues.

The result reaches beyond "nice" mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry.

Features

  • Provides the tools that allow an understanding of the underpinnings of statistical methods
  • Encourages the use of statistical software, which widens the range of problems reader can consider
  • Brings relevance to the subject-shows readers it has much to offer beyond optimality theory
  • Focuses on inferential procedures within the framework of parametric models, but also views estimation from the nonparametric perspective
  • Solutions manual availalbe on crcpress.com
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