Home » Fundamentals of Mathematical Statistics
Product Image

Fundamentals of Mathematical Statistics

Steffen Lauritzen
€99.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Steffen Lauritzen
advanced data modelling
Affine Subspace
Asymptotic Confidence Interval
Asymptotic Pivot
asymptotics
Author_Steffen Lauritzen
Bartlett's Identities
Canonical Parameter
Canonical Statistic
Category=PBT
Confidence Regions
Cumulant Function
Curved Exponential Family
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
estimation
exponential
Exponential Family
Fisher Information
graduate statistics course
hypothesis assessment
Larger Family
likelihood ratio test applications
linear models
Linear Normal Models
Log Likelihood Function
Log Likelihood Ratio Statistic
Moment Estimator
multivariate analysis
Positive Semidefinite
probability theory
Quadratic Score
Regular Exponential Family
significance testing
Simple Normal Model
Simple Poisson Model
Standard Lebesgue Measure
statistical inference
Unbiased Estimator
Wald Intervals
Wald Statistic

Product details

  • ISBN 9781032223827
  • Weight: 560g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Apr 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

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.

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.
About Steffen Lauritzen

Steffen Lauritzen is Emeritus Professor of Statistics at the University of Copenhagen and the University of Oxford as well as Honorary Professor at Aalborg University. He is most well known for his work on graphical models, in particular represented in a monograph from 1996 with that title, but he has published in a wide range of topics. He has received numerous awards and honours, including the Guy Medal in Silver from the Royal Statistical Society, where he also is an Honorary Fellow. He was elected to the Royal Danish Academy of Sciences and Letters in 2008 and became a Fellow of the Royal Society in 2011.

More from this author