A Course in Mathematical Statistics and Large Sample Theory

519.5

Bhattacharya, Rabi. A Course in Mathematical Statistics and Large Sample Theory by Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru. -
XI, 389 p. 9 illus., 2 illus. in color. online resource. - (Springer Texts in Statistics, ) Content notes : 1 Introduction -- 2 Decision Theory -- 3 Introduction to General Methods of Estimation -- 4 Sufficient Statistics, Exponential Families, and Estimation -- 5 Testing Hypotheses -- 6 Consistency and Asymptotic Distributions and Statistics -- 7 Large Sample Theory of Estimation in Parametric Models -- 8 Tests in Parametric and Nonparametric Models -- 9 The Nonparametric Bootstrap -- 10 Nonparametric Curve Estimation -- 11 Edgeworth Expansions and the Bootstrap -- 12 Frechet Means and Nonparametric Inference on Non-Euclidean Geometric Spaces -- 13 Multiple Testing and the False Discovery Rate -- 14 Markov Chain Monte Carlo (MCMC) Simulation and Bayes Theory -- 15 Miscellaneous Topics -- Appendices -- Solutions of Selected Exercises in Part 1. 9781493940325 * Mathematical statistics. Computer science. Statistics. Distribution (Probability theory. Statistical methods. Statistical Theory and Methods. Probability and Statistics in Computer Science. Statistics for Business/Economics/Mathematical Finance/Insurance. Probability Theory and Stochastic Processes. Statistics and Computing/Statistics Programs. Biostatistics. * Lin, Lizhen., aut, http://id.loc.gov/vocabulary/relators/autPatrangenaru, Victor., aut, http://id.loc.gov/vocabulary/relators/aut * Title * Series