Fundamentals of Mathematical Statistics

Research output: Book/ReportBookCommunication

Standard

Fundamentals of Mathematical Statistics. / Lauritzen, Steffen.

Boca Raton, FL : CRC Press, 2023. 258 p.

Research output: Book/ReportBookCommunication

Harvard

Lauritzen, S 2023, Fundamentals of Mathematical Statistics. CRC Press, Boca Raton, FL. <http://VisRediger https://www.routledge.com/Fundamentals-of-Mathematical-Statistics/Lauritzen/p/book/9781032223827>

APA

Vancouver

Lauritzen S. Fundamentals of Mathematical Statistics. Boca Raton, FL: CRC Press, 2023. 258 p.

Author

Lauritzen, Steffen. / Fundamentals of Mathematical Statistics. Boca Raton, FL : CRC Press, 2023. 258 p.

Bibtex

@book{eb5b9ab53c9443ab92025370c51fcfd2,
title = "Fundamentals of Mathematical Statistics",
abstract = "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.",
author = "Steffen Lauritzen",
year = "2023",
month = apr,
day = "11",
language = "English",
isbn = "9781032223827",
publisher = "CRC Press",

}

RIS

TY - BOOK

T1 - Fundamentals of Mathematical Statistics

AU - Lauritzen, Steffen

PY - 2023/4/11

Y1 - 2023/4/11

N2 - 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.

AB - 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.

M3 - Book

SN - 9781032223827

BT - Fundamentals of Mathematical Statistics

PB - CRC Press

CY - Boca Raton, FL

ER -

ID: 341924738