Statistics And Numerical Methods
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Numerical Methods of Statistics
Author: John F. Monahan
language: en
Publisher: Cambridge University Press
Release Date: 2011-04-18
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.
Engineering Mathematics Volume - III (Statistical and Numerical Methods) (For 1st Year - 2nd Semester of JNTU, Hyderabad)
Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
language: en
Publisher: S. Chand Publishing
Release Date:
Engineering Mathematics
Statistics and Numerical Methods
Author: Dr. S. Mohan Prabhu
language: en
Publisher: RK Publication
Release Date: 2024-08-31
Statistics and Numerical Methods a comprehensive guide to understanding statistical concepts and numerical techniques essential for analyzing and solving real-world problems. Covering topics such as probability, data analysis, statistical inference, linear regression, and various numerical methods, this book bridges theoretical foundations with practical applications. Designed for students and professionals in fields like engineering, mathematics, and the sciences, it presents step-by-step examples, exercises, and illustrations to foster analytical thinking and precise computational skills.