Mathematical Statistics: A Decision Theoretic Approach by Thomas S. Ferguson

Mathematical Statistics: A Decision Theoretic Approach Thomas S. Ferguson ebook
Publisher:
Page: 396
Format: djvu
ISBN: 0122537505, 9780122537509

Mathematical statistics: a decision theoretic approach. Ferguson, Mathematical Statistics: A Decision-Theoretic Approach. Multiple hypotheses testing is the second approach, when a single fault at a time is as . In a decision-theoretic approach, we consider the following loss function. Ferguson, Mathematical Statistics. € Gilks, Richardson and Spiegelhalter, Markov Chain Monte Carlo in Practice. Mathematical Statistics: A Decision Theoretic Approach. A problem-oriented text for evaluating statistical procedures through decision and game theory. On the other hand, there exist mathematical statistics theories and tools for solving . Since the first boundary point y hit by the process is a sufficient statistics ( Ferguson, 1967 , Section 7 Enrico Bibbona, et al. With nuisance parameters and deciding between multiple hypotheses. Department of Mathematical Statistics and Actuarial Sciences, Aletheia University . Ferguson, Mathematical Statistics: a Decision Theoretic Approach, Academic (1967). Probability and Mathematical Statistics, Vol. Ferguson, Mathematical Statistics: A Decision Theoretic Approach,.