Modelling, Inference and Data Analysis

A Second Course in Statistics

By Miltiadis C. Mavrakakis, Jeremy Penzer

© 2016 – Chapman and Hall/CRC

608 pages | 20 B/W Illus.

Purchasing Options:
Hardback: 9781584889397
pub: 2016-06-29
Comp Exam Copy

About the Book

Modelling, Inference and Data Analysis brings together key topics in mathematical statistics and presents them in a rigorous yet accessible manner. It covers aspects of probability, distribution theory and random processes that are fundamental to a proper understanding of inference. The book also discusses the properties of estimators constructed from a random sample of ends, with sections on methods for estimating parameters in time series models and computationally intensive inferential techniques. The text challenges and excites the more mathematically able students while providing an approachable explanation of advanced statistical concepts for students who struggle with existing texts. 

About the Series

Chapman & Hall/CRC Texts in Statistical Science

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MATHEMATICS / Probability & Statistics / Bayesian Analysis