Overview
- Combines theory with numerical examples to provide a thorough explanation of the topic
- Includes numerous exercises so that readers can practice applying the concepts within the book
- Presents an up-to-date reference list and around 225 exercise problems
Part of the book series: Synthesis Lectures on Engineering, Science, and Technology (SLEST)
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About this book
This book provides an introductory overview of random variables and their transformations. The authors approach the topic with statistics students in mind, along with researchers in various fields who are interested in data analysis. The book begins with by defining and explaining mathematical expectation. The authors then discuss transformations of random variables, including distribution functions and special functions. The book also covers joint probability distribution and its applications. The authors have updated and expanded upon their writing on these topics, which they originally covered in their previous book, Statistics for Scientists and Engineers.
Keywords
Table of contents (3 chapters)
Authors and Affiliations
About the authors
Rajan Chattamvelli, PhD, is a Professor in the School of Computer Science and Engineering at Amrita University, Amaravati. He has published more than 20 research articles in international journals of repute and at various conferences. His research interests are in computational statistics, design of algorithms, parallel computing, cryptography, data mining, machine learning, combinatorics, and big data analytics. His prior assignments include Denver Public Health, Colorado; Metromail Corporation, Lincoln, Nebraska; Frederick University, Cyprus; Indian Institute of Management; Periyar Maniammai University, Thanjavur; Presidency University, Bangalore, and VIT University, Vellore.
Ramalingam Shanmugam, Ph.D., is an Honorary Professor in the School of Health Administration at Texas State University, San Marcos. He is the Editor-in-Chief of four journals including Advances in Life Sciences; Global Journal of Research and Review; Journal of Obesity and Metabolism; and the International Journal of Research in Medical Sciences. He has published more than 200 research articles and 120 conference papers. Dr. Shanmugam's research interests include theoretical and computational statistics, number theory, operations research, biostatistics, decision making, and epidemiology.
Bibliographic Information
Book Title: Random Variables for Scientists and Engineers
Authors: Rajan Chattamvelli, Ramalingam Shanmugam
Series Title: Synthesis Lectures on Engineering, Science, and Technology
DOI: https://doi.org/10.1007/978-3-031-58931-7
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-58930-0Published: 28 May 2024
Softcover ISBN: 978-3-031-58933-1Due: 28 June 2024
eBook ISBN: 978-3-031-58931-7Published: 27 May 2024
Series ISSN: 2690-0300
Series E-ISSN: 2690-0327
Edition Number: 1
Number of Pages: XIII, 151
Number of Illustrations: 2 b/w illustrations, 10 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Business, Management, Economics, Finance, Insurance, Statistics, general, Applied Statistics, Mathematics, general