Probability Theory:An Introduction Using R
by: Shailaja R. Deshmukh (Author),Akanksha S. Kashikar(Author)
Publisher: Chapman and Hall/CRC
Edition: 1st
Publication Date: 2024/8/6
Language: English
Print Length: 576 pages
ISBN-10: 1032617977
ISBN-13: 9781032617978
Book Description
This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail, to provide a thorough understanding of basic techniques and develop an enjoyable read for students seeking suitable material for self-study. It illustrates fundamental concepts including fields, sigma-fields, random variables and their expectations, various modes of convergence of a sequence of random variables, laws of large numbers and the central limit theorem.• Computational exercises based on R software are included in each Chapter• Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference• Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts• Provides multiple-choice questions for practice• Incorporates self-explanatory R codes in every chapter This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.
About the Author
This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail, to provide a thorough understanding of basic techniques and develop an enjoyable read for students seeking suitable material for self-study. It illustrates fundamental concepts including fields, sigma-fields, random variables and their expectations, various modes of convergence of a sequence of random variables, laws of large numbers and the central limit theorem.• Computational exercises based on R software are included in each Chapter• Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference• Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts• Provides multiple-choice questions for practice• Incorporates self-explanatory R codes in every chapter This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.
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