This book builds theoretical statistics \nfrom thefirst principles of probability theory. Startingfrom the basics of \nprobability, the authorsdevelop the theory of statistical inferenceusing \ntechniques, definitions, and conceptsthat are statistical and are natural \nextensionsand consequences of previous concepts.Intended for first-year \ngraduate students, thisbook can be used for students majoring instatistics \nwho have a solid mathematicsbackground. It can also be used in a way \nthatstresses the more practical uses of statisticaltheory, being more \nconcerned withunderstanding basic statistical concepts andderiving reasonable \nstatistical procedures for avariety of situations, and less concerned \nwithformal optimality investigations.FEATURES Offers new coverage of \nrandomnumber generation, simulation methods,bootstrapping, EM algorithm, \np-values, androbustness.Includes new sections on "Logistic \nRegression"and "Robust Regression"Restructures material for \nclarity purposesContains updated and expanded Exercises Key Features