Statistical inference

By:

Casella, George

Contributor(s):

Berger, Roger L

Material type: Text

TextSeries: Duxbury Advanced SeriesPublication details: Cengage Learning India Private Limited Delhi 2025Edition: 2ndDescription: xxviii, 660 pISBN:

9788131503942

Subject(s):

DDC classification:

519.5 CAS

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 Features (https://www.cengage.co.in/book-list/print/statistical-inference-72)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.5 CAS (Browse shelf(Opens below))	1	Available		007785

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Previous	519.5 BLA Business statistics: contemporary decision making	519.5 BRU Computational handbook of statistics	519.5 CAR An introduction to statistics: an active learning approach	519.5 CAS Statistical inference	519.5 CRA Building your career as a statistician: a practical guide to longevity, happiness, and accomplishment	519.5 CUM Introduction to the new statistics: estimation, open Science, and beyond	519.5 DES Asymptotic statistical inference: a basic course using R	Next

'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

(https://www.cengage.co.in/book-list/print/statistical-inference-72)

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