Numerical Methods of Statistics

Informationen zum Autor John F. Monahan is a Professor of Statistics at North Carolina State University where he joined the faculty in 1978 and has been a professor since 1990. His research has appeared in numerous computational as well as statistical journals. He is also the author of A Primer on Linear Models (2008). Klappentext This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. Zusammenfassung This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. Inhaltsverzeichnis 1. Algorithms and computers; 2. Computer arithmetic; 3. Matrices and linear equations; 4. More methods for solving linear equations; 5. Least squares; 6. Eigenproblems; 7. Functions: interpolation, smoothing and approximation; 8. Introduction to optimization and nonlinear equations; 9. Maximum likelihood and nonlinear regression; 10. Numerical integration and Monte Carlo methods; 11. Generating random variables from other distributions; 12. Statistical methods for integration and Monte Carlo; 13. Markov chain Monte Carlo methods; 14. Sorting and fast algorithms.

Product details

• Authors: John Monahan, John F. Monahan, John F. (North Carolina State University) Monahan
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 18.04.2011
• EAN: 9780521139519
• ISBN: 978-0-521-13951-9
• No. of pages: 464
• Series: Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistica; Cambridge Series in Statistical and Probabilistic Mathematics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Discrete Mathematics, MATHEMATICS / Numerical Analysis, Numerical analysis, Maths for computer scientists, Probability and statistics