000			02112nam a22002417a 4500
003			CUTN
005			20241004162616.0
008			241004b |||||||| |||| 00| 0 eng d
020			_a9788131503942
041			_aEnglish
082			_223 _a519.5 _bCAS
100			_aCasella,George
245			_aStatistical Inference/ _cGeorge Casella & Roger L. Berger.
250			_a2nd Ed.
260			_aNew Delhi : _bCengage Learning India Pvt.,Ltd, _c2002.
300			_axxviii, 660p. : _bill. ; _c24x16Cms.
500			_a'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
505			_aTable of Contents _t1. Probability Theory. 2. Transformations and Expectations 3. Common Families of Distributions 4. Multiple Random Variables 5. Properties of a Random Sample 6. Principles of Data Reduction 7. Point Estimation 8. Hypothesis Testing 9. Interval Estimation 10. Asymptotic Evaluations 11. Analysis of Variance and Regression 12. Regression Models
650			_aMathematical, Probability Theory, Transformations,Multiple Random Variables, Hypothesis Testing
690			_aMathematics
700			_aBerger, L Roger.
942			_2ddc _cBOOKS
999			_c43703 _d43703