Aspects Of Statistical Inference
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Aspects of Statistical Inference
Author | : A. H. Welsh |
Publsiher | : John Wiley & Sons |
Total Pages | : 480 |
Release | : 2011-09-15 |
Genre | : Mathematics |
ISBN | : 9781118165430 |
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Relevant, concrete, and thorough--the essential data-based text onstatistical inference The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches * Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments * Considers multiparameter problems * Develops large sample approximations and shows how to use them * Presents the philosophy and application of robustness theory * Highlights the central role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
Elements of Statistical Inference
Author | : David V. Huntsberger |
Publsiher | : Unknown |
Total Pages | : 428 |
Release | : 1967 |
Genre | : Mathematical statistics |
ISBN | : WISC:89048111116 |
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Statistical Inference
Author | : George Casella,Roger Berger |
Publsiher | : CRC Press |
Total Pages | : 1746 |
Release | : 2024-05-23 |
Genre | : Mathematics |
ISBN | : 9781040024027 |
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This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Aspects of Statistical Inference
Author | : A. H. Welsh |
Publsiher | : John Wiley & Sons |
Total Pages | : 498 |
Release | : 1996-10-10 |
Genre | : Mathematics |
ISBN | : 0471115916 |
Download Aspects of Statistical Inference Book in PDF, Epub and Kindle
Relevant, concrete, and thorough--the essential data-based text onstatistical inference The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches * Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments * Considers multiparameter problems * Develops large sample approximations and shows how to use them * Presents the philosophy and application of robustness theory * Highlights the central role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.
Elements of Statistical Inference
![Elements of Statistical Inference](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : David V. Huntsberger |
Publsiher | : Unknown |
Total Pages | : 291 |
Release | : 1965 |
Genre | : Statistics |
ISBN | : OCLC:301433970 |
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Principles of Statistical Inference
Author | : D. R. Cox |
Publsiher | : Cambridge University Press |
Total Pages | : 227 |
Release | : 2006-08-10 |
Genre | : Mathematics |
ISBN | : 9781139459136 |
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In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.
Statistical Inference as Severe Testing
Author | : Deborah G. Mayo |
Publsiher | : Cambridge University Press |
Total Pages | : 503 |
Release | : 2018-09-20 |
Genre | : Mathematics |
ISBN | : 9781107054134 |
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Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Elements of Statistical Inference
![Elements of Statistical Inference](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : David Vernon Huntsberger,Patrick Billingsley |
Publsiher | : Unknown |
Total Pages | : 385 |
Release | : 1977 |
Genre | : Statistics |
ISBN | : 0205059201 |
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