
Mathematical Statistics with Applications in R
Academic Press
3rd Edition
Published on 21. July 2020
Book
Paperback/Softback
704 pages
978-0-12-817815-7 (ISBN)
Shipment within 15-20 days
Description
Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods, such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem-solving in a logical manner. Step-by-step procedure to solve real problems make the topics very accessible.
More details
Edition
3rd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
Approx. 300 illustrations
Dimensions
Height: 277 mm
Width: 216 mm
Thickness: 36 mm
Weight
1769 gr
ISBN-13
978-0-12-817815-7 (9780128178157)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Kandethody M. Ramachandran | Chris P. Tsokos
Mathematical Statistics with Applications in R
Book
approx. 10/2026
4th Edition
Academic Press
€142.36
Not yet published
Additional editions

Kandethody M. Ramachandran | Chris P. Tsokos
Mathematical Statistics with Applications in R
E-Book
05/2020
3rd Edition
Academic Press
€113.00
Available for download
Previous edition

Kandethody M. Ramachandran | Chris P. Tsokos
Mathematical Statistics with Applications in R
Book
10/2018
2nd Edition
Academic Press
€117.61
The article will not be published
Persons
Kandethody M. Ramachandran is Professor of Mathematics and Statistics at the University of South Florida. His research interests are concentrated in the areas of applied probability, statistics, machine learning, and generative AI. His research publications span a variety of areas such as control of heavy traffic queues, stochastic delay systems, machine learning methods applied to game theory, finance, cyber security, health sciences, and other emerging areas. He is also co-author of three books. He is the founding director of the Interdisciplinary Data Sciences Consortium (IDSC). He is extensively involved in activities to improve statistics and mathematics education. He is a recipient of the Teaching Incentive Program award at the University of South Florida. He is also the PI of a two million dollar grant from NSF, and a co_PI of a 1.4 million grant from HHMI to improve STEM education at USF.
Chris P. Tsokos is Distinguished University Professor of Mathematics and Statistics at the University of South Florida. Dr. Tsokos' research has extended into a variety of areas, including stochastic systems, statistical models, reliability analysis, ecological systems, operations research, time series, Bayesian analysis, and mathematical and statistical modelling of global warming, both parametric and nonparametric survival analysis, among others. He is the author of more than 400 research publications in these areas, including Random Integral Equations with Applications to Life Sciences and Engineering, Probability Distribution: An Introduction to Probability Theory with Applications, Mainstreams of Finite Mathematics with Applications, Probability with the Essential Analysis, Applied Probability Bayesian Statistical Methods with Applications to Reliability, and Mathematical Statistics with Applications, among others. Dr. Tsokos is the recipient of many distinguished awards and honors, including Fellow of the American Statistical Association, USF Distinguished Scholar Award, Sigma Xi Outstanding Research Award, USF Outstanding Undergraduate Teaching Award, USF Professional Excellence Award, Pi Mu Epsilon, election to the International Statistical Institute, Sigma Pi Sigma, USF Teaching Incentive Program, and several humanitarian and philanthropic recognitions and awards. He is also serves as Honorary Editor, Chief-Editor, Editor or Associate Editor for more than twelve academic research journals.
Chris P. Tsokos is Distinguished University Professor of Mathematics and Statistics at the University of South Florida. Dr. Tsokos' research has extended into a variety of areas, including stochastic systems, statistical models, reliability analysis, ecological systems, operations research, time series, Bayesian analysis, and mathematical and statistical modelling of global warming, both parametric and nonparametric survival analysis, among others. He is the author of more than 400 research publications in these areas, including Random Integral Equations with Applications to Life Sciences and Engineering, Probability Distribution: An Introduction to Probability Theory with Applications, Mainstreams of Finite Mathematics with Applications, Probability with the Essential Analysis, Applied Probability Bayesian Statistical Methods with Applications to Reliability, and Mathematical Statistics with Applications, among others. Dr. Tsokos is the recipient of many distinguished awards and honors, including Fellow of the American Statistical Association, USF Distinguished Scholar Award, Sigma Xi Outstanding Research Award, USF Outstanding Undergraduate Teaching Award, USF Professional Excellence Award, Pi Mu Epsilon, election to the International Statistical Institute, Sigma Pi Sigma, USF Teaching Incentive Program, and several humanitarian and philanthropic recognitions and awards. He is also serves as Honorary Editor, Chief-Editor, Editor or Associate Editor for more than twelve academic research journals.
Author
Professor of Mathematics and Statistics at the University of South Florida (USF)
Distinguished University Professor of Mathematics and Statistics at the University of South Florida
Content
1. Descriptive Statistics2. Basic Concepts from Probability Theory3. Additional Topics in Probability4. Sampling Distributions5. Statistical Estimation6. Hypothesis Testing7. Linear Regression models8. Design of Experiments9. Analysis of Variance 10. Bayesian Estimation and Inference11. Categorical Data Analysis and Goodness of Fit Tests and Applications12. Nonparametric Tests13. Empirical Methods14. Some applications and Some Issues in Statistical Applications: An Overview