Sense and Nonsense of Statistical Inference: Controversy: Misuse, and Subtlety

Author:   Charmont Wang
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367402563


Pages:   256
Publication Date:   19 September 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Sense and Nonsense of Statistical Inference: Controversy: Misuse, and Subtlety


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Overview

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control.

Full Product Details

Author:   Charmont Wang
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367402563


ISBN 10:   0367402564
Pages:   256
Publication Date:   19 September 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

. . .Excellent guide for statistical users, educators, students. Shows that improper use of statistical inference can do more harm than good. ---American Mathematical Monthly . . .very informative. . . . . .should be read by all users of statistics. ---Journal of Quality Technology . . .illuminating, entertaining. . . . . .this book will be found most useful by graduate users of statistics who have been taught the techniques but have not subject them to critical scrutiny. . .professional statisticians will find fresh ideas about their subject here. ---Australian Journal of Statistics


"". . .Excellent guide for statistical users, educators, students. Shows that improper use of statistical inference can do more harm than good. "" ---American Mathematical Monthly "". . .very informative. . . . . .should be read by all users of statistics. "" ---Journal of Quality Technology "". . .illuminating, entertaining. . . . . .this book will be found most useful by graduate users of statistics who have been taught the techniques but have not subject them to critical scrutiny. . .professional statisticians will find fresh ideas about their subject here. "" ---Australian Journal of Statistics


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Wang\, Charmont

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