Statistical inference
Material type: TextPublication details: Australia ; Pacific Grove, CA : Thomson Learning c2002Edition: 2Description: xxviii, 660 p. : illISBN: 9788131503942Subject(s): Mathematical statistics | ProbabilitiesDDC classification: 519.5 Online resources: Not Available | Not Available Summary: 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 FeaturesItem type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK | Stack | Stack | 519.5 CAS/S (Browse shelf (Opens below)) | Available | 58894 |
Browsing Kannur University Central Library shelves, Shelving location: Stack, Collection: Stack Close shelf browser (Hides shelf browser)
519.5 BOX/S Statistics for experimenters : design, innovation, and discovery | 519.5 BRE/M Multiple comparisons using R | 519.5 BUS Business statistics: a first course | 519.5 CAS/S Statistical inference | 519.5 CHA/S Statistics for business and economics | 519.5 CHI/M Mathematical statistics with resampling and R | 519.5 DER/H Handbook of statistical analyses using SAS / |
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
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