000			01737nam a2200241 4500
005			20250329143623.0
008			250329b |||||||| |||| 00| 0 eng d
020			_a9781032593036
037			_cTextual
040			_aRTL _cRTL
084			_aB28 R4 _qRTL
100			_aCasella, George
245			_aStatistical Inference
250			_a2nd
260			_aLondon _bCRC Press _c2024
300			_axxix, 535p. _bIncludes bibliographical references and index
520			_aThis 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
650			_a Mathematical statistics _9718580
650			_aProbability theory _9715971
650			_aRandom variables _9733484
700			_a Berger, Roger L _eCo-author _9751615
942			_2CC _n0 _cTB _hB28 R4
999			_c1308295 _d1308295