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Author : Sir Ronald Aylmer Fisher
Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.03/5 ( download)
Download or read book Statistical Methods and Scientific Inference written by Sir Ronald Aylmer Fisher and published by . This book was released on 1959 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : R. A. Fisher
Publisher : OUP Oxford
ISBN 13 : 9780198522294
Total Pages : 832 pages
Book Rating : 4.90/5 ( download)
Download or read book Statistical Methods, Experimental Design, and Scientific Inference written by R. A. Fisher and published by OUP Oxford. This book was released on 1990-04-19 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: The writings of R.A. Fisher have proved to be as relevant today as when they were written. This book brings together as a single volume three of his most influential textbooks: Statistical Methods for Research Workers, Statistical Methods and Scientific Inference, and The Design of Experiments. In a new Foreword, written for this edition, Professor Frank Yates discusses some of the key issues tackled in the textbooks, and how they relate to modern statistical practice.
Author : Ronald A. Fisher
Publisher :
ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.23/5 ( download)
Download or read book Statistical methods and scientific inference written by Ronald A. Fisher and published by . This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ronald Aylmer Fisher (Genetician, Statistician, Great Britain)
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.05/5 ( download)
Download or read book Statistical Methods and Scientific Inference written by Ronald Aylmer Fisher (Genetician, Statistician, Great Britain) and published by . This book was released on 1959 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sir Ronald Aylmer Fisher
Publisher : Hassell Street Press
ISBN 13 : 9781013978708
Total Pages : 196 pages
Book Rating : 4.06/5 ( download)
Download or read book Statistical Methods and Scientific Inference written by Sir Ronald Aylmer Fisher and published by Hassell Street Press. This book was released on 2021-09-09 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author : Deborah G. Mayo
Publisher : Cambridge University Press
ISBN 13 : 1108563309
Total Pages : 503 pages
Book Rating : 4.07/5 ( download)
Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Author : Ronald Aylmer Fisher
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.48/5 ( download)
Download or read book "Statistical Methods and Scientific Inference", Sir R. [Ronald] A. [Aylmer] Fisher written by Ronald Aylmer Fisher and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : R. Cooke
Publisher : Springer Science & Business Media
ISBN 13 : 9400906196
Total Pages : 229 pages
Book Rating : 4.98/5 ( download)
Download or read book Statistics in Science written by R. Cooke and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: An inference may be defined as a passage of thought according to some method. In the theory of knowledge it is customary to distinguish deductive and non-deductive inferences. Deductive inferences are truth preserving, that is, the truth of the premises is preserved in the con clusion. As a result, the conclusion of a deductive inference is already 'contained' in the premises, although we may not know this fact until the inference is performed. Standard examples of deductive inferences are taken from logic and mathematics. Non-deductive inferences need not preserve truth, that is, 'thought may pass' from true premises to false conclusions. Such inferences can be expansive, or, ampliative in the sense that the performances of such inferences actually increases our putative knowledge. Standard non-deductive inferences do not really exist, but one may think of elementary inductive inferences in which conclusions regarding the future are drawn from knowledge of the past. Since the body of scientific knowledge is increasing, it is obvious that the method of science must allow non-deductive as well as deductive inferences. Indeed, the explosive growth of science in recent times points to a prominent role for the former. Philosophers of science have long tried to isolate and study the non-deductive inferences in science. The inevitability of such inferences one the one hand, juxtaposed with the poverty of all efforts to identify them, constitutes one of the major cognitive embarrassments of our time.
Author : C.S. Wallace
Publisher : Springer Science & Business Media
ISBN 13 : 9780387237954
Total Pages : 456 pages
Book Rating : 4.5X/5 ( download)
Download or read book Statistical and Inductive Inference by Minimum Message Length written by C.S. Wallace and published by Springer Science & Business Media. This book was released on 2005-05-26 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. MML, which provides a formal specification for the implementation of Occam's Razor, asserts that the ‘best’ explanation of observed data is the shortest. Further, an explanation is acceptable (i.e. the induction is justified) only if the explanation is shorter than the original data. This book gives a sound introduction to the Minimum Message Length Principle and its applications, provides the theoretical arguments for the adoption of the principle, and shows the development of certain approximations that assist its practical application. MML appears also to provide both a normative and a descriptive basis for inductive reasoning generally, and scientific induction in particular. The book describes this basis and aims to show its relevance to the Philosophy of Science. Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning and Estimation and Model-selection, Econometrics and Data Mining. C.S. Wallace was appointed Foundation Chair of Computer Science at Monash University in 1968, at the age of 35, where he worked until his death in 2004. He received an ACM Fellowship in 1995, and was appointed Professor Emeritus in 1996. Professor Wallace made numerous significant contributions to diverse areas of Computer Science, such as Computer Architecture, Simulation and Machine Learning. His final research focused primarily on the Minimum Message Length Principle.
Author : Ronald Aylmer Fisher
Publisher :
ISBN 13 :
Total Pages : 175 pages
Book Rating : 4.66/5 ( download)
Download or read book Statistical methods and scientific inference written by Ronald Aylmer Fisher and published by . This book was released on 1956 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:
