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Statistical methods for physical science / edited by John L. Stanford and Stephen B. Vardeman.
— San Diego, Calif. : Academic Press, c1994. xix, 542 p. : il. ; 24 cm. — (Methods of experimental physics ; v. 28)
Incluye referencias bibliográficas e índice.
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.
ISBN 0124759734
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