Mathematical Statistics: A Unified Introduction - Couverture souple
Livre 9 sur 111: Springer Texts in Statistics
Synopsis
Getting Started.- Structural Models for Data.- Least Squares Methods.- Combinatorial Probability.- Other Probability Models.- Discrete Random Variables I: The Hypergeometric Process.- Discrete Random Variables II: The Bernoulli Process.- Random Vectors and Random Samples.- Maximum Likelihood Estimates for Discrete Models.- Continuous Random Variables I: The Gamma and Beta Families.- Continuous Random Variables II: Expectations and the Normal Family.- Continuous Random Vectors.- Sampling Statistics for the Linear Model.- Representing Distributions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
