Asymptotic Statistical Inference
Subtitle: A Basic Course Using R
By: authored by Shailaja Deshmukh & Madhuri Kulkarni
Edition: First edition
Series: Springer Volume in Statistics
Publisher: Springer
Published: 22 May, 2021
Place of publication: USA
Language: eng
Format: Hardcover
Number of pages: 350
ISBN-13: 9789811590023
Copyright date: ©2021
Description: The concepts from asymptotic inference are crucial in modern statistics, but are difficult to grasp in view of their abstract nature. To overcome this difficulty, keeping up with the recent trend of using R software for statistical computations, the book uses it extensively, for illustrating the concepts, verifying the properties of estimators and carrying out various test procedures. The last section of the chapters presents R codes to reveal and visually demonstrate the hidden aspects of different concepts and procedures. Augmenting the theory with R software is a novel and a unique feature of the book.
Notes: Provides solutions to the conceptual exercises in the last chapter, and offers hints to the computational exercises to help students write R code on their own.
Applies R codes in the last section of every chapter to illustrate various concepts and procedures and to solve some examples
Uses a variety of illustrative conceptual and computational examples of varying difficulty level to explain different concepts and procedures