Mathematical statistics with applications in R

By: Ramachandran, K. M [Author] | Tsokos, P. Chris [Co-Author]Material type: Text

TextLanguage: English Publication details: United Kingdom: Academic Press, 2021. Edition: 3rd edDescription: xxi, 680p.; 23cmsISBN: 9780128178157Subject(s): Mathematical statistics -- Data processing | Mathematical statistics -- R(Computer program language) | Nonparametric, Bayesian and empirical methodsDDC classification: 519.5 R36, 3

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Dr. S. R. Ranganathan Library General Stacks	519.5 R36, 3 (Browse shelf(Opens below))	1	Available		2767
Books	Dr. S. R. Ranganathan Library General Stacks	519.5 R36, 3:1 (Browse shelf(Opens below))	2	Available		2768

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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.

Presents step-by-step procedures to solve real problems, making each topic more accessible
Provides updated application exercises in each chapter, blending theory and modern methods with the use of R
Includes new chapters on Categorical Data Analysis and Extreme Value Theory with Applications
Wide array coverage of ANOVA, Nonparametric, Bayesian and empirical methods