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Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science PDF Author: W.L. Harper
Publisher: Springer Science & Business Media
ISBN: 9401014388
Category : Science
Languages : en
Pages : 245

Book Description
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory and their scientific applications in the form of scientific theory. The foundations of statistics are in a state of profound conflict. Fisher's objections to some aspects of Neyman-Pearson statistics have long been well known. More recently the emergence of Bayesian statistics as a radical alternative to standard views has made the conflict especially acute. In recent years the response of many practising statisticians to the conflict has been an eclectic approach to statistical inference. Many good statisticians have developed a kind of wisdom which enables them to know which problems are most appropriately handled by each of the methods available. The search for principles which would explain why each of the methods works where it does and fails where it does offers a fruitful approach to the controversy over foundations.

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science PDF Author: W.L. Harper
Publisher: Springer Science & Business Media
ISBN: 9401014361
Category : Science
Languages : en
Pages : 464

Book Description
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory and their scientific applications in the form of scientific theory. The foundations of statistics are in a state of profound conflict. Fisher's objections to some aspects of Neyman-Pearson statistics have long been well known. More recently the emergence of Bayesian statistics as a radical alternative to standard views has made the conflict especially acute. In recent years the response of many practising statisticians to the conflict has been an eclectic approach to statistical inference. Many good statisticians have developed a kind of wisdom which enables them to know which problems are most appropriately handled by each of the methods available. The search for principles which would explain why each of the methods works where it does and fails where it does offers a fruitful approach to the controversy over foundations.

HARPER X X X LOSSE NUMMBERS (C,

HARPER X X X LOSSE NUMMBERS (C, PDF Author: William Leonard Harper
Publisher: Springer
ISBN: 9789027706140
Category : Science
Languages : en
Pages :

Book Description


Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Foundations and philosophy of statistical theories in the physical sciences

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Foundations and philosophy of statistical theories in the physical sciences PDF Author: William Leonard Harper
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 264

Book Description


Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Foundations and philosophy of statistical inference

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Foundations and philosophy of statistical inference PDF Author: William Leonard Harper
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 476

Book Description


Foundations and Philosophy of Epistemic Applications of Probability Theory

Foundations and Philosophy of Epistemic Applications of Probability Theory PDF Author: W.L. Harper
Publisher: Springer Science & Business Media
ISBN: 9789027706171
Category : Gardening
Languages : en
Pages : 334

Book Description
Proceedings of an International Research Colloquium held at the University of Western Ontario, 10-13 May 1973.

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science PDF Author: W.L. Harper
Publisher: Springer
ISBN: 9789027706195
Category : Science
Languages : en
Pages : 456

Book Description
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory and their scientific applications in the form of scientific theory. The foundations of statistics are in a state of profound conflict. Fisher's objections to some aspects of Neyman-Pearson statistics have long been well known. More recently the emergence of Bayesian statistics as a radical alternative to standard views has made the conflict especially acute. In recent years the response of many practising statisticians to the conflict has been an eclectic approach to statistical inference. Many good statisticians have developed a kind of wisdom which enables them to know which problems are most appropriately handled by each of the methods available. The search for principles which would explain why each of the methods works where it does and fails where it does offers a fruitful approach to the controversy over foundations.

Advances in the Statistical Sciences: Foundations of Statistical Inference

Advances in the Statistical Sciences: Foundations of Statistical Inference PDF Author: I.B. MacNeill
Publisher: Springer Science & Business Media
ISBN: 9400947887
Category : Mathematics
Languages : en
Pages : 295

Book Description
On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro fessor V. M. Joshi. These symposia were chosen to reflect Professor Joshi's research interests as well as areas of expertise in statistical science among faculty in the Departments of Statistical and Actuarial Sciences, Economics, Epidemiology and Biostatistics, and Philosophy. From these symposia, the six volumes which comprise the "Joshi Festschrift" have arisen. The 117 articles in this work reflect the broad interests and high quality of research of those who attended our conference. We would like to thank all of the contributors for their superb cooperation in helping us to complete this project. Our deepest gratitude must go to the three people who have spent so much of their time in the past year typing these volumes: Jackie Bell, Lise Constant, and Sandy Tarnowski. This work has been printed from "camera ready" copy produced by our Vax 785 computer and QMS Lasergraphix printers, using the text processing software TEX. At the initiation of this project, we were neophytes in the use of this system. Thank you, Jackie, Lise, and Sandy, for having the persistence and dedication needed to complete this undertaking.

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science PDF Author: William Leonard Harper
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Selected Works of E. L. Lehmann

Selected Works of E. L. Lehmann PDF Author: Javier Rojo
Publisher: Springer Science & Business Media
ISBN: 1461414113
Category : Mathematics
Languages : en
Pages : 1103

Book Description
These volumes present a selection of Erich L. Lehmann’s monumental contributions to Statistics. These works are multifaceted. His early work included fundamental contributions to hypothesis testing, theory of point estimation, and more generally to decision theory. His work in Nonparametric Statistics was groundbreaking. His fundamental contributions in this area include results that came to assuage the anxiety of statisticians that were skeptical of nonparametric methodologies, and his work on concepts of dependence has created a large literature. The two volumes are divided into chapters of related works. Invited contributors have critiqued the papers in each chapter, and the reprinted group of papers follows each commentary. A complete bibliography that contains links to recorded talks by Erich Lehmann – and which are freely accessible to the public – and a list of Ph.D. students are also included. These volumes belong in every statistician’s personal collection and are a required holding for any institutional library.

The Myth of Statistical Inference

The Myth of Statistical Inference PDF Author: Michael C. Acree
Publisher: Springer Nature
ISBN: 3030732576
Category : Psychology
Languages : en
Pages : 457

Book Description
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.