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Synopsis
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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About the Author
George Casella was an author and distinguished professor who hailed from New York City. He authored several text books on statistics during his lifetime. Some of these titles are Theory Of Point Estimation, Monte Carlo Statistical Methods, and Variance Components. Casella obtained his Ph.D. in Mathematical Statistics from Purdue University. He served as a faculty member at many esteemed institutions such as Rutgers University, the University of Florida, and Cornell University. Casella received many awards and accolades for his contribution to the field of statistics. Some of these were Fellow of the Institute of Mathematical Statistics and Fellow at the International Statistical Institute. Casella passed away in June 2012 due to multiple myeloma. Roger L. Berger is an author, Director, and Professor at Arizona State University. Other books by him include Solutions Manual For Statistical Inference. Berger completed his Ph.D. at Purdue University in Statistics. He currently teaches and conducts research at North Carolina State University, Arizona State University, and Florida State University. Berger resides in Phoenix, Arizona.
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International Edition
Statistical Inference
International EditionSeller: booksdeck, Santa clara, CA, U.S.A.
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Softcover. Condition: NEW. Brand new book. International edition printed overseas but with similar contents as compared to the US edition. Book will have a different ISBN and cover art and paperback bound. Same day shipping with tracking. Seller Inventory # 250|9788131503942
International Edition
Statistical Inference
Published by
Cengage Learning (edition ), 2007
ISBN 10: 8131503941
ISBN 13: 9788131503942
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Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. International edition. Seller Inventory # 8131503941-11-1-7
International Edition
Statistical Inference
Published by
Cengage Learning (edition ), 2007
ISBN 10: 8131503941
ISBN 13: 9788131503942
Used
Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. International edition. Seller Inventory # 8131503941-7-1-7
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Statistical Inference
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International Edition
Statistical Inference, 2Nd Ed.
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Statistical Inference
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Statistical Inference
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Statistical Inference
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Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Seller Inventory # GWSVV.8131503941.G
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Statistical Inference
Seller: World of Books Inc, Montgomery, IL, U.S.A.
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Paperback. Condition: Very Good. Statistical inference is the method in which a researcher draws conclusions from research data which is subject to random variation. The end goal of statistical inference is to determine what is to be done next with the data set. Statistical Inference is a text that is ideally suited for students in their first year of graduate studies who have a firm footing in their understanding of mathematical concepts. The text builds on the basic theories of probability, using definitions, techniques, and concepts which are statistical and naturally extend from previous concepts. Students can use this text in two ways. They can focus on the practical aspects of the theory, understand basic concepts, and derive statistical procedures which could be used for different situations. Or, students can focus on formally optimizing their research investigations. This second edition of the text has several salient features. It contains new material on random number-generation, bootstrapping, simulation methods, p-values, EM algorithm, and robustness. The authors have also included new topics on Logistic Regression and Robust Regression. The material has been restructured for the purpose of clarity. Updated exercises and key features are also included. The text contains 12 chapters. The topics covered by these chapters are Probability Theory, Multiple Random Variables, Common Families of Distributions, Random Sample Properties, Data Reduction Principles, Interval Estimation, Point Estimation, Hypothesis Testing, Asymptotic Evaluations, Regression and Variance Analysis, and Regression Models. Statistical Inference was published in 2007. Seller Inventory # CIN8131503941VG
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Statistical Inference, 2Nd Edn
Seller: SMASS Sellers, IRVING, TX, U.S.A.
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Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. Seller Inventory # SNTA-12652