Aspects Of Statistical Inference


Aspects Of Statistical Inference
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Aspects Of Statistical Inference


Aspects Of Statistical Inference
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Author : A. H. Welsh
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-15

Aspects Of Statistical Inference written by A. H. Welsh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Mathematics categories.


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.



Aspects Of Statistical Inference


Aspects Of Statistical Inference
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Author : A. H. Welsh
language : en
Publisher: John Wiley & Sons
Release Date : 1996-10-10

Aspects Of Statistical Inference written by A. H. Welsh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-10-10 with Mathematics categories.


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
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Author : David V. Huntsberger
language : en
Publisher: Allyn & Bacon
Release Date : 1981

Elements Of Statistical Inference written by David V. Huntsberger and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Mathematics categories.




Elements Of Statistical Inference


Elements Of Statistical Inference
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Author : David Vernon Huntsberger
language : en
Publisher: Allyn & Bacon
Release Date : 1977

Elements Of Statistical Inference written by David Vernon Huntsberger and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.




Study Guide To Accompany Huntsberger And Billingsley Elements Of Statistical Inference Fifth Edition


Study Guide To Accompany Huntsberger And Billingsley Elements Of Statistical Inference Fifth Edition
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Author : Dale Napier
language : en
Publisher:
Release Date : 1981

Study Guide To Accompany Huntsberger And Billingsley Elements Of Statistical Inference Fifth Edition written by Dale Napier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Statistics categories.




Elements Of Statistical Inference


Elements Of Statistical Inference
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Author :
language : en
Publisher:
Release Date : 1973

Elements Of Statistical Inference written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with categories.




Introduction To Statistical Inference


Introduction To Statistical Inference
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Author : E. S. Keeping
language : en
Publisher: Courier Corporation
Release Date : 1995-01-01

Introduction To Statistical Inference written by E. S. Keeping and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-01 with Mathematics categories.


This excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. Additional chapters cover the general properties of distributions, testing hypotheses, and more.



Elements Of Statistics


Elements Of Statistics
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Author : Donald R. Byrkit
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1980

Elements Of Statistics written by Donald R. Byrkit and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Mathematics categories.


Organization and presentation of data; Measures of location and dispersion; Probability; Probability distributions; The binomial distribution; The normal distribution; Estimation of parameters; Hypothesis testing; The chi-square distribution; Analysis of variance; Correlation and regression; Nonparametric tests; Mathematical review.



Elements Of Statistical Inference


Elements Of Statistical Inference
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Author : Robert M. Kozelka
language : en
Publisher:
Release Date : 1961

Elements Of Statistical Inference written by Robert M. Kozelka and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with Mathematical statistics categories.




Statistical Inference Based On The Likelihood


Statistical Inference Based On The Likelihood
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Author : Adelchi Azzalini
language : en
Publisher: CRC Press
Release Date : 1996-06-01

Statistical Inference Based On The Likelihood written by Adelchi Azzalini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-01 with Mathematics categories.


The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.