Probability And Statistical Theory For Applied Researchers
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A01=Thomas Wake Epps
Applied Probability
Author_Thomas Wake Epps
Bayesian Statistics
Category=PBT
Confidence Intervals
Distribution Theory
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Goodness-of-Fit Tests
Limiting Distributions
Point Estimation
Regression Analysis
Statistical Inference
Tests of Hypotheses
Product details
- ISBN 9789814513159
- Publication Date: 01 Nov 2013
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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This book presents the theory of probability and mathematical statistics at a level suitable for researchers at the frontiers of applied disciplines. Examples and exercises make essential concepts in measure theory and analysis accessible to those with preparation limited to vector calculus. Complete, detailed solutions to all the exercises demonstrate techniques of problem solving and provide immediate feedback.Part I, The Theory of Probability, starts with elementary set theory and proceeds through basic measure and probability, random variables, integration and mathematical expectation. It concludes with an extensive survey of models for distributions of random variables. Part II, The Theory of Statistics, begins with sampling theory and distribution theory for statistics from normal populations, proceeds to asymptotic (large-sample) theory, and on to point and interval estimation and tests of parametric hypotheses. The last three chapters cover tests of nonparametric hypotheses, Bayesian methods, and linear and nonlinear regression.Researchers and graduate students in applied fields such as actuarial science, biostatistics, economics, finance, mathematical psychology, and systems engineering will find this book to be a valuable learning tool and an essential reference.
