Statistical Methods for Physical Science
John L. Stanford, Stephen B. Vardemanen Limba Engleză Hardback – 12 dec 1994
- Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods
- Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares
- Addresses time series analysis, including filtering and spectral analysis
- Includes simulations of physical experiments
- Features applications of statistics to atmospheric physics and radio astronomy
- Covers the increasingly important area of modern statistical computing
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Specificații
ISBN-13: 9780124759732
ISBN-10: 0124759734
Pagini: 542
Dimensiuni: 152 x 229 x 32 mm
Greutate: 0.92 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0124759734
Pagini: 542
Dimensiuni: 152 x 229 x 32 mm
Greutate: 0.92 kg
Editura: ELSEVIER SCIENCE
Public țintă
Graduate students and researchers in physics, geophysics, materials science, chemistry, optics; and applied statisticians with clients in these fields.Cuprins
W.R. Leo, Introduction to Probability Modeling. L. Hodges, Common Univariate Distributions. C. Chatfield, Random Process Models. N. Cressie, Models for Spatial Processes. P. Clifford, Monte Carlo Methods. J. Kitchin, Basic Statistical Inference. V.N. Nair and A.E. Freeny, Methods for Assessing Distributional Assumptions in One- and Two-Sample Problems. W.Q. Meeker and L.A. Escobar, Maximum Likelihood Methods for Fitting ParametricStatistical Models. G.A.F. Seber and C.J. Wild, Least Squares. W.J. Randel, Filtering and Data Preprocessing for Time Series Analysis. D.B. Percival, Spectral Analysis of Univariate and Bivariate Time Series. D.A. Lewis, Weak Periodic Signals in Point Process Data. D. Zimmerman, Statistical Analysis of Spatial Data. H.F. Martz and R.A. Waller, Bayesian Methods. J.M. Hauptman, Simulation of Physical Systems. J.L. Stanford and J.R. Ziemke, Field (Map) Statistics. F.L. Hulting and A.P. Jaworski, Modern Statistical Computing and Graphics. References. Tables. Subject Index.