The Myth Of Statistical Inference

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The Myth of Statistical Inference

Author : Michael C. Acree
Publisher : Unknown
Page : 0 pages
File Size : 50,6 Mb
Release : 2021
Category : Electronic
ISBN : 3030732584

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The Myth of Statistical Inference by Michael C. Acree Pdf

This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.

The Myth of Statistical Inference

Author : Michael C. Acree
Publisher : Springer Nature
Page : 457 pages
File Size : 54,5 Mb
Release : 2021-07-05
Category : Psychology
ISBN : 9783030732578

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The Myth of Statistical Inference by Michael C. Acree Pdf

This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.

STATISTICAL INFERENCE

Author : M. RAJAGOPALAN,P. DHANAVANTHAN
Publisher : PHI Learning Pvt. Ltd.
Page : 408 pages
File Size : 40,9 Mb
Release : 2012-07-08
Category : Mathematics
ISBN : 9788120346352

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STATISTICAL INFERENCE by M. RAJAGOPALAN,P. DHANAVANTHAN Pdf

Intended as a text for the postgraduate students of statistics, this well-written book gives a complete coverage of Estimation theory and Hypothesis testing, in an easy-to-understand style. It is the outcome of the authors’ teaching experience over the years. The text discusses absolutely continuous distributions and random sample which are the basic concepts on which Statistical Inference is built up, with examples that give a clear idea as to what a random sample is and how to draw one such sample from a distribution in real-life situations. It also discusses maximum-likelihood method of estimation, Neyman’s shortest confidence interval, classical and Bayesian approach. The difference between statistical inference and statistical decision theory is explained with plenty of illustrations that help students obtain the necessary results from the theory of probability and distributions, used in inference.

Statistical Inference

Author : S.D. Silvey
Publisher : Routledge
Page : 157 pages
File Size : 52,8 Mb
Release : 2017-10-19
Category : Mathematics
ISBN : 9781351414494

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Statistical Inference by S.D. Silvey Pdf

Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concentrateattention on these ideas: they are placed in a general settingand illustrated by relatively simple examples, avoidingwherever possible the extraneous difficulties of complicatedmathematical manipulation.In order to compress the central body of ideas into a smallvolume, it is necessary to assume a fair degree of mathematicalsophistication on the part of the reader, and the book is intendedfor students of mathematics who are already accustomed tothinking in rather general terms about spaces and functions

Understanding Statistics and Statistical Myths

Author : Kicab Castaneda-Mendez
Publisher : CRC Press
Page : 585 pages
File Size : 50,7 Mb
Release : 2015-11-18
Category : Business & Economics
ISBN : 9781498727464

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Understanding Statistics and Statistical Myths by Kicab Castaneda-Mendez Pdf

Addressing 30 statistical myths in the areas of data, estimation, measurement system analysis, capability, hypothesis testing, statistical inference, and control charts, this book explains how to understand statistics rather than how to do statistics. Every statistical myth listed in this book has been stated in course materials used by the author

Introduction to the Theory of Statistical Inference

Author : Hannelore Liero,Silvelyn Zwanzig
Publisher : CRC Press
Page : 280 pages
File Size : 49,9 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781466503205

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Introduction to the Theory of Statistical Inference by Hannelore Liero,Silvelyn Zwanzig Pdf

Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.

Introduction to Statistical Inference

Author : Harold Adolph Freeman
Publisher : Unknown
Page : 516 pages
File Size : 40,7 Mb
Release : 1963
Category : Mathematics
ISBN : UOM:39015004473875

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Introduction to Statistical Inference by Harold Adolph Freeman Pdf

Introduction to Statistical Inference

Author : E. S. Keeping
Publisher : Courier Corporation
Page : 484 pages
File Size : 49,8 Mb
Release : 1995-01-01
Category : Mathematics
ISBN : 0486685020

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Introduction to Statistical Inference by E. S. Keeping Pdf

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 Statistical Inference

Author : David V. Huntsberger
Publisher : Unknown
Page : 291 pages
File Size : 41,5 Mb
Release : 1965
Category : Statistics
ISBN : OCLC:301433970

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Elements of Statistical Inference by David V. Huntsberger Pdf

Statistical Inference as Severe Testing

Author : Deborah G. Mayo
Publisher : Cambridge University Press
Page : 503 pages
File Size : 40,5 Mb
Release : 2018-09-20
Category : Mathematics
ISBN : 9781107054134

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Statistical Inference as Severe Testing by Deborah G. Mayo Pdf

Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.

Statistical Inference

Author : Samuel D. Silvey
Publisher : Unknown
Page : 128 pages
File Size : 47,5 Mb
Release : 2003
Category : Electronic
ISBN : OCLC:955172537

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Statistical Inference by Samuel D. Silvey Pdf

Statistical Inference Based on the likelihood

Author : Adelchi Azzalini
Publisher : Routledge
Page : 352 pages
File Size : 53,6 Mb
Release : 2017-11-13
Category : Mathematics
ISBN : 9781351414470

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Statistical Inference Based on the likelihood by Adelchi Azzalini Pdf

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.

Some Basic Theory for Statistical Inference

Author : E.J.G. Pitman
Publisher : CRC Press
Page : 61 pages
File Size : 54,5 Mb
Release : 2018-01-18
Category : Mathematics
ISBN : 9781351093675

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Some Basic Theory for Statistical Inference by E.J.G. Pitman Pdf

In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level which will make it readable by most students of statistics.

Nonparametric Statistical Inference

Author : Jean Dickinson Gibbons,Subhabrata Chakraborti
Publisher : CRC Press
Page : 695 pages
File Size : 51,6 Mb
Release : 2020-12-21
Category : Mathematics
ISBN : 9781351616171

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Nonparametric Statistical Inference by Jean Dickinson Gibbons,Subhabrata Chakraborti Pdf

Praise for previous editions: "... a classic with a long history." – Statistical Papers "The fact that the first edition of this book was published in 1971 ... [is] testimony to the book’s success over a long period." – ISI Short Book Reviews "... one of the best books available for a theory course on nonparametric statistics. ... very well written and organized ... recommended for teachers and graduate students." – Biometrics "... There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics "... Useful to students and research workers ... a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical Association Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new references Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.