Description: This book presents numerous exercises with solutions to help the reader better understand different aspects of modern statistics. It features applications with R and Matlab code that show how to practically use the methods.
Review Quotes:
From the reviews:
"The book 'Basics of model mathematical statistics' is built as a series of focused exercises revolving around parameter estimation, linear models, Bayesian estimation and statistical hypothesis testing. ... This book is a valuable resource for undergraduates and post-graduates alike. The detailed proofs and the R code and output make it a must have for the understanding of modern mathematical statistics." (Irina Ioana Mohorianu, zbMATH, Vol. 1286 (1), 2014)