Probability And Statistical Inference: From Basic Principles To Advanced Models (Chapman & Hall/Crc Texts In Statistical Science)

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.

• | Author: Miltiadis C. Mavrakakis, Jeremy Penzer
• | Publisher: Chapman and Hall/CRC
• | Publication Date: March 29, 2021
• | Number of Pages: 444 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 158488939X
• | ISBN-13: 9781584889397