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Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics

$10.00

(Chapman & Hall/CRC Texts in Statistical Science) 1st Edition 

by Steffen Lauritzen (Author) 

Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topicsā€•statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, significance testing, and models for tables of counts. It assumes a good background in mathematical analysis, linear algebra, and probability but includes an appendix with basic results from these areas. Throughout the text, there are numerous examples and graduated exercises that illustrate the topics covered, rendering the book suitable for teaching or self-study.

Features

  • A concise yet rigorous introduction to a one-semester course in Mathematical Statistics
  • Covers all the key topics
  • Assumes a solid background in Mathematics and Probability
  • Numerous examples illustrate the topics
  • Many exercises enhance understanding of the material and enable course use

This textbook will be a perfect fit for an advanced course in Mathematical Statistics or Statistical Theory. The concise and lucid approach means it could also serve as a good alternative, or supplement, to existing texts.

Year 2023
Pages 259
Language English
Format PDF
Size 4 MB
ISBN-10 2022037917, 2022037918, 1032223820
ISBN-13 9781032223834, 978-1032223834, 978-1-032-22383-4, 978-1-032-22382-7, 9781032223827, 978-1032223827, 978-1-003-27235-9, 978-1003272359, 9781003272359
ASIN B0BZTL4J85