Can I read Mathematical Statistics : an Introduction to Likelihood Based Inference on EtoBox?

Mathematical Statistics : an Introduction to Likelihood Based Inference by Richard J. Rossi is a nonfiction available to read on EtoBox.

What is Mathematical Statistics : an Introduction to Likelihood Based Inference about?

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs. In addition to the connected chapters mentioned above, Mathematical Statistics covers likelihood-based estimation, with emphasis on multidimensional parameter spaces and range dependent

Who reads Mathematical Statistics : an Introduction to Likelihood Based Inference?

Author

Richard J. Rossi

Publisher

John Wiley & Sons, Incorporated

Published

2018

Language

EN

ISBN

9781118771044

Category

nonfiction

Subjects

Mathematics, Stem

Updated

2026-03-24