Book Description:
ISBN-13: 9789462985100
An Introduction to Mathematical Statistics is a comprehensive textbook that covers the fundamental concepts and techniques of statistical analysis. The book begins with an overview of probability theory, including basic concepts such as random variables, probability distributions, and expected values. It then delves into the core principles of statistical inference, covering topics such as hypothesis testing, confidence intervals, and regression analysis.
The book also explores more advanced topics in mathematical statistics, such as multivariate analysis, time series analysis, and Bayesian statistics. Throughout the text, the authors provide clear explanations of complex mathematical concepts and offer numerous examples and exercises to help readers understand and apply the material.
This book is suitable for students and professionals in a variety of fields, including mathematics, statistics, economics, and engineering. It is designed to be accessible to readers with a basic understanding of calculus and probability theory, making it an ideal resource for introductory courses in mathematical statistics. An Introduction to Mathematical Statistics provides a solid foundation in statistical theory and methods, making it an essential reference for anyone interested in the field.
This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.