Statistical methods for physical science / edited by John L. Stanford and Stephen B. Vardeman.
Series Methods of experimental physics ; v. 28Editor: San Diego, Calif. : Academic Press, c1994Descripción: xix, 542 p. : il. ; 24 cmISBN: 0124759734Tema(s): Physical sciences -- Experiments -- Statistical methodsOtra clasificación: 62-01 (62-06 62P35) Recursos en línea: Publisher descriptionWilliam R. Leo, Introduction to probability modelingLaurent Hodges, Common univariate distributionsChristopher Chatfield, Random process modelsNoel Cressie, Models for spatial processesPeter Clifford, Monte Carlo methodsJohn Kitchin, Basic statistical inferenceVijayan N. Nair and Anne E. Freeny, Methods for assessing distributional assumptions in one- and two-sample problemsWilliam Q. Meeker and Luis A. Escobar, Maximum likelihood methods for fitting parametric statistical modelsGeorge A. F. Seber and Christopher J. Wild, Least squaresWilliam J. Randel, Filtering and data preprocessing for time series analysisDonald B. Percival, Spectral analysis of univariate and bivariate time seriesDavid A. Lewis, Weak periodic signals in point process dataDale L. Zimmerman, Statistical analysis of spatial dataHarry F. Martz and Ray A. Waller, Bayesian methodsJohn M. Hauptman, Simulation of physical systemsJohn L. Stanford and Jerald R. Ziemke, Field (map) statisticsFrederick L. Hulting and Andrzej P. Jaworski, Modern statistical computing and graphicsTables.
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Instituto de Matemática, CONICET-UNS | Libros ordenados por tema | 62 St797-1 (Browse shelf) | Available | A-7405 |
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| 62 So683-2 Biometry : | 62 St794 Linear statistical models / | 62 St797 Statistical methods of model building / | 62 St797-1 Statistical methods for physical science / | 62 St797-2 Statistics : | 62 St797-3 Statistics for the twenty-first century / | 62 St844-3 Applied multivariate statistics for the social sciences / |
Incluye referencias bibliográficas e índice.
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.
MR, 95j:62002
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