Fundamentals of Mathematical Statistics by Steffen Lauritzen (.PDF)
File Size: 37 MB
Fundamentals of Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition by Steffen Lauritzen
Requirements: .PDF reader, 37 MB
Overview: 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 topics—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.
Genre: Non-Fiction > Educational
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