STATISTICAL INFERENCE, 2ND EDN

This book builds theoretical statistics
from thefirst principles of probability theory. Startingfrom the basics of
probability, the authorsdevelop the theory of statistical inferenceusing
techniques, definitions, and conceptsthat are statistical and are natural
extensionsand consequences of previous concepts.Intended for first-year
graduate students, thisbook can be used for students majoring instatistics
who have a solid mathematicsbackground. It can also be used in a way
thatstresses the more practical uses of statisticaltheory, being more
concerned withunderstanding basic statistical concepts andderiving reasonable
statistical procedures for avariety of situations, and less concerned
withformal optimality investigations.FEATURES Offers new coverage of
randomnumber generation, simulation methods,bootstrapping, EM algorithm,
p-values, androbustness.Includes new sections on “Logistic
Regression”and “Robust Regression”Restructures material for
clarity purposesContains updated and expanded Exercises Key Features