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Optimum Inductive Methods, R. Festa


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Автор: R. Festa
Название:  Optimum Inductive Methods
ISBN: 9789048143184
Издательство: Springer
Классификация:



ISBN-10: 9048143187
Обложка/Формат: Paperback
Страницы: 194
Вес: 0.30 кг.
Дата издания: 07.12.2010
Серия: Synthese Library
Язык: English
Размер: 234 x 156 x 11
Основная тема: Philosophy
Подзаголовок: A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book deals with a basic problem arising within the Bayesian approach 1 to scientific methodology, namely the choice of prior probabilities. In Section 3, the methods used in TIP and BS for making multinomial inference~ are considered and some conceptual relationships between TIP and BS are pointed out.


Optimum Inductive Methods

Автор: R. Festa
Название: Optimum Inductive Methods
ISBN: 0792324609 ISBN-13(EAN): 9780792324607
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
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Описание: This book deals with a basic problem arising within the Bayesian approach 1 to scientific methodology, namely the choice of prior probabilities. In Section 3, the methods used in TIP and BS for making multinomial inference~ are considered and some conceptual relationships between TIP and BS are pointed out.

Studies in Inductive Probability and Rational Expectation

Автор: Theo A.F. Kuipers
Название: Studies in Inductive Probability and Rational Expectation
ISBN: 9400998325 ISBN-13(EAN): 9789400998322
Издательство: Springer
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Цена: 12157.00 р.
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Описание: 3 in philosophy, and therefore in metaphilosophy, cannot be based on rules that avoid spending time on pseudo-problems. They have to be as precise as possible and as simple as possible.

Pure Inductive Logic

Автор: Paris
Название: Pure Inductive Logic
ISBN: 1107042305 ISBN-13(EAN): 9781107042308
Издательство: Cambridge Academ
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Цена: 21226.00 р.
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Описание: This book establishes pure inductive logic as a contemporary branch of mathematical logic. Collecting together research from a wide range of sources within one unified context, it provides both a comprehensive account of the subject up to cutting-edge modern research, and an accessible reference for the philosopher or computer scientist.

The Philosophy of the Inductive Sciences

Автор: Whewell
Название: The Philosophy of the Inductive Sciences
ISBN: 1108064035 ISBN-13(EAN): 9781108064033
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: First published in 1840, this two-volume treatise by the Cambridge polymath William Whewell (1794-1886) rigorously explores the philosophy of the physical sciences. The work was intended as the counterpart to his three-volume History of the Inductive Sciences (1837), which is also reissued in this series.

The Philosophy of the Inductive Sciences

Автор: Whewell
Название: The Philosophy of the Inductive Sciences
ISBN: 1108064027 ISBN-13(EAN): 9781108064026
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: First published in 1840, this two-volume treatise by the Cambridge polymath William Whewell (1794-1886) rigorously explores the philosophy of the physical sciences. The work was intended as the counterpart to his three-volume History of the Inductive Sciences (1837), which is also reissued in this series.

Statistical and Inductive Inference by Minimum Message Length

Автор: C.S. Wallace
Название: Statistical and Inductive Inference by Minimum Message Length
ISBN: 1441920153 ISBN-13(EAN): 9781441920157
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Mythanksareduetothemanypeoplewhohaveassistedintheworkreported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults are all mine. MyworkleadingtothisbookbeganwhenDavidBoultonandIattempted to develop a method for intrinsic classi?cation. Given data on a sample from some population, we aimed to discover whether the population should be considered to be a mixture of di?erent types, classes or species of thing, and, if so, how many classes were present, what each class looked like, and which things in the sample belonged to which class. I saw the problem as one of Bayesian inference, but with prior probability densities replaced by discrete probabilities re?ecting the precision to which the data would allow parameters to be estimated. Boulton, however, proposed that a classi?cation of the sample was a way of brie?y encoding the data: once each class was described and each thing assigned to a class, the data for a thing would be partially implied by the characteristics of its class, and hence require little further description. After some weeks arguing our cases, we decided on the maths for each approach, and soon discovered they gave essentially the same results. Without Boulton s insight, we may never have made the connection between inference and brief encoding, which is the heart of this work."

Theoretical Concepts and Hypothetico-Inductive Inference

Автор: I. Niiniluoto; R. Tuomela
Название: Theoretical Concepts and Hypothetico-Inductive Inference
ISBN: 9401025983 ISBN-13(EAN): 9789401025980
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Conceptual change and its connection to the development of new seien- tific theories has reeently beeome an intensively discussed topic in philo- sophieal literature.

An Introduction to Probability and Inductive Logic

Автор: Ian Hacking
Название: An Introduction to Probability and Inductive Logic
ISBN: 0521775019 ISBN-13(EAN): 9780521775014
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: This is an introductory 2001 textbook on probability and induction written by one of the world`s foremost philosophers of science. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction.

Optimum Designs for Multi-Factor Models

Автор: Rainer Schwabe
Название: Optimum Designs for Multi-Factor Models
ISBN: 0387947450 ISBN-13(EAN): 9780387947457
Издательство: Springer
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Цена: 13275.00 р.
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Описание: In real applications, most experimental situations are influenced by many factors. In these settings, the design of an experiment leads to optimization problems. This book introduces the theory of optimum designs for complex models, and develops methods of reduction to marginal problems for large classes of models, with interaction structures.


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