Statistical methods for physical science
edited by John L. Stanford and Stephen B. Vardeman.
San Diego, Calif. : Academic Press, ©1994.
xix, 542 págs. : ilustraciones ; 24 cm.
Serie: Methods of experimental physics ; v. 28
ISBN: 0124759734
Incluye referencias bibliográficas e índice.
Reseña: MathSciNet, 95j:62002
Contenido
- William R. Leo, Introduction to probability modeling
- Laurent Hodges, Common univariate distributions
- Christopher Chatfield, Random process models
- Noel Cressie, Models for spatial processes
- Peter Clifford, Monte Carlo methods
- John Kitchin, Basic statistical inference
- Vijayan N. Nair and Anne E. Freeny, Methods for assessing distributional assumptions in one- and two-sample problems
- William Q. Meeker and Luis A. Escobar, Maximum likelihood methods for fitting parametric statistical models
- George A. F. Seber and Christopher J. Wild, Least squares
- William J. Randel, Filtering and data preprocessing for time series analysis
- Donald B. Percival, Spectral analysis of univariate and bivariate time series
- David A. Lewis, Weak periodic signals in point process data
- Dale L. Zimmerman, Statistical analysis of spatial data
- Harry F. Martz and Ray A. Waller, Bayesian methods
- John M. Hauptman, Simulation of physical systems
- John L. Stanford and Jerald R. Ziemke, Field (map) statistics
- Frederick L. Hulting and Andrzej P. Jaworski, Modern statistical computing and graphics
- Tables.