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Casella, George.

Overview

Works:	7 works in 0 publications in 0 languages

Titles

Statistical inference / by: Berger, Roger L.; Casella, George. (Language materials, printed)

Making sense of complexity = summary of the workshop on dynamical modeling of complex biomedical systems / by: Wu, Rongling.; Wu, Sam S.; NetLibrary, Inc.; Casella, George.; National Research Council (U.S.)., Board on Mathematical Sciences and Their Applications. (Language materials, printed)

Introducing Monte Carlo methods with R by: Casella, George.; SpringerLink (Online service); Robert, Christian. (Language materials, printed)

Theory of point estimation by: Casella, George.; SpringerLink (Online service); Lehmann, E.L. (Language materials, printed)

Theory of point estimation. by: Casella, George.; Lehmann, E. L. (1917-) (Language materials, printed)

Statistical genetics of quantitative traits : = linkage, maps, and QTL / by: Casella, George.; Ma, Chang-Xing.; Wu, Rongling. (Language materials, printed)

An R and S-PLUS Companion to Multivariate Analysis by: Casella, George.; Fienberg, Stephen.; Olkin, Ingram.; SpringerLink (Online service); Everitt, Brian Sidney. (Language materials, printed)

Monte Carlo statistical methods / by: Casella, George.; Robert, Christian P., (1961-.) (Language materials, printed)

Variance components / by: Casella, George.; McCulloch, Charles E.; Searle, S. R. (1928-) (Language materials, printed)

Statistical design by: SpringerLink (Online service); Casella, George. (Language materials, printed)

Subjects

Monte Carlo method. Estimation ponctuelle. Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. Experimental design. Appl.Mathematics/Computational Methods of Engineering. Biologoy- Mathematical models. Markov processes. Monte Carlo method- Computer programs. Probability Theory and Stochastic Processes. Medicine- Mathematical models. Statistical Theory and Methods. Animal Anatomy / Morphology / Histology. R (Computer program language) Analysis of variance. Fix-point estimation. Plant Genetics & Genomics. Genetics- Statistical methods. Probabilities. Multivariate analysis. Gene mapping. Computational Mathematics and Numerical Analysis. Biomathematics. Statistics. Statistics and Computing/Statistics Programs. Probability and Statistics in Computer Science. Simulation and Modeling. Mathematical statistics. Human Genetics. Mathematical statistics- Data processing.