John F. Monahan

Numerical Methods of Statistics

• Gebundenes Buch

Produktbeschreibung

This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 464
• Erscheinungstermin: 29. Oktober 2014
• Englisch
• Abmessung: 260mm x 183mm x 29mm
• Gewicht: 1061g
• ISBN-13: 9780521191586
• ISBN-10: 0521191580
• Artikelnr.: 34556834

Autorenporträt

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).

Inhaltsangabe

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.