000			01695nam a2200229 4500
001			12347985
010			_a 2001025794
020			_a9788131503942
082	0	0	_a519.5 _bCAS/S
100	1		_aCasella, George
245	1	0	_aStatistical inference
250			_a2
260			_aAustralia ; _aPacific Grove, CA : _bThomson Learning _cc2002.
300			_axxviii, 660 p. : _bill. ;
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		0	_aMathematical statistics.
650		0	_aProbabilities.
700	1		_aBerger, Roger L.
856	4	2	_uhttp://www.loc.gov/catdir/enhancements/fy1302/2001025794-d.html
856	4	1	_uhttp://www.loc.gov/catdir/enhancements/fy1302/2001025794-t.html
942			_cBK
999			_c66245 _d66245