Sense and Nonsense of Statistical Inference

Sense and Nonsense of Statistical Inference PDF

Author: Charmont Wang

Publisher: CRC Press

Published: 2020-07-24

Total Pages: 270

ISBN-13: 1000148122

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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.

Statistical Inference

Statistical Inference PDF

Author: S.D. Silvey

Publisher: Routledge

Published: 2017-10-19

Total Pages: 157

ISBN-13: 1351414496

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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

Some Basic Theory for Statistical Inference

Some Basic Theory for Statistical Inference PDF

Author: E.J.G. Pitman

Publisher: CRC Press

Published: 2018-01-18

Total Pages: 61

ISBN-13: 1351093673

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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.

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Applied Statistics Using SPSS, STATISTICA, MATLAB and R PDF

Author: Joaquim P. Marques de Sá

Publisher: Springer Science & Business Media

Published: 2007-05-28

Total Pages: 520

ISBN-13: 3540719725

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Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.

Statistically Speaking

Statistically Speaking PDF

Author: C.C. Gaither

Publisher: CRC Press

Published: 2018-11-26

Total Pages: 420

ISBN-13: 1420050885

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Statistically Speaking is a book of quotations. It brings together the best expressed thoughts that are especially illuminating and pertinent to the disciplines of probability and statistics. The book is an aid for the individual who loves to quote – and to quote correctly.

The Philosophy and Practice of Medicine and Bioethics

The Philosophy and Practice of Medicine and Bioethics PDF

Author: Barbara Maier

Publisher: Springer Science & Business Media

Published: 2010-11-03

Total Pages: 556

ISBN-13: 9048188679

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This book challenges the unchallenged methods in medicine, such as "evidence-based medicine," which claim to be, but often are not, scientific. It completes medical care by adding the comprehensive humanistic perspectives and philosophy of medicine. No specific or absolute recommendations are given regarding medical treatment, moral approaches, or legal advice. Given rather is discussion about each issue involved and the strongest arguments indicated. Each argument is subject to further critical analysis. This is the same position as with any philosophical, medical or scientific view. The argument that decision-making in medicine is inadequate unless grounded on a philosophy of medicine is not meant to include all of philosophy and every philosopher. On the contrary, it includes only sound, practical and humanistic philosophy and philosophers who are creative and critical thinkers and who have concerned themselves with the topics relevant to medicine. These would be those philosophers who engage in practical philosophy, such as the pragmatists, humanists, naturalists, and ordinary-language philosophers. A new definition of our own philosophy of life emerges and it is necessary to have one. Good lifestyle no longer means just abstaining from cigarettes, alcohol and getting exercise. It also means living a holistic life, which includes all of one's thinking, personality and actions. This book also includes new ways of thinking. In this regard the "Metaphorical Method" is explained, used, and exemplified in depth, for example in the chapters on care, egoism and altruism, letting die, etc.

Statistical Inference Based on the likelihood

Statistical Inference Based on the likelihood PDF

Author: Adelchi Azzalini

Publisher: Routledge

Published: 2017-11-13

Total Pages: 196

ISBN-13: 1351414461

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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.

Essentials of Inferential Statistics

Essentials of Inferential Statistics PDF

Author: Malcolm O. Asadoorian

Publisher: University Press of America

Published: 2005

Total Pages: 304

ISBN-13: 9780761830306

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Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.

Statistical Thought

Statistical Thought PDF

Author: Shoutir Kishore Chatterjee

Publisher: Oxford University Press, USA

Published: 2003

Total Pages: 450

ISBN-13: 9780198525318

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In this unique monograph, based on years of extensive work, Chatterjee presents the historical evolution of statistical thought from the perspective of various approaches to statistical induction. Developments in statistical concepts and theories are discussed alongside philosophical ideas on the ways we learn from experience.