A Course in Mathematical Statistics and Large Sample Theory

A Course in Mathematical Statistics and Large Sample Theory By Lin, Lizhen Published by Springer Publication Date: 2016-08-14 Subject: Business & Economics Statistics, Business & Economics Statistics, Computers Mathematical & Statistical Software, Computers Mathematical & Statistical Software, Mathematics Probability & Statistics General, Mathematics Probability & Statistics - General, Science Life Sciences General, Science Life Sciences - General, Life Sciences: General Issues, Mathematical & Statistical Software, Mathematical &Amp; Statistical Software, Probability & Statistics, Probability &Amp; Statistics, Economics, Finance, Business And Management, Mathematical And Statistical Software, Maths For Computer Scientists, Probability And Statistics, Stochastics, Probability And Statistics, Probability & Statistics, Mathematical And Statistical Software, Maths For Computer Scientists, Mathematical & Statistical Software Subject Keywords: decision theory; Bayes rules; Bayes estimators; unbiased estimation; Cramer-Rao Inequality; Gauss-Markov Theorem; linear models; Neyman-Pearson lemma; asymptotic distribution; large sample theory; confidence intervals; bootstrap; curve estimation; parametric; nonparametric; Markov Chain Monte Carlo Simulation Genre: Probability And Statistics, Probability & Statistics, Mathematical And Statistical Software, Maths For Computer Scientists, Mathematical & Statistical Software, Maths For Computer Scientists Target Audience: A Read for the Modern Generation