Optimum Inductive Methods

Name: Optimum Inductive Methods
Brand: Springer
SKU: 9780792324607
Price: 584.36 RON
Availability: InStock

A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude

Autor: R. Festa

Limbă:

Legare: Copertă tare

Editura: Springer

Disponibilitate: În depozitul extern în cantități mici

Expediem în 13-18 zile

584.36 lei

This book deals with a basic problem arising within the Bayesian approach 1 to scientific methodolog...

Informații despre carte

Autor

R. Festa

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1993

Pagini

194

EAN

9780792324607

ISBN

0792324609

Enbook ID

02705333

Editura

Springer

Greutate

1050

Dimensiuni

155 x 235 x 16

Descriere completă

This book deals with a basic problem arising within the Bayesian approach 1 to scientific methodology, namely the choice of prior probabilities. The problem will be considered with special reference to some inference methods used within Bayesian statistics (BS) and the so-called theory of inductive 2 probabilities (T/P). In this study an important role will be played by the assumption - defended by Sir Karl Popper and the supporters of the current verisimilitude theory (VT) - that the cognitive goal of science is the achievement of a high degree of truthlikeness or verisimilitude. A more detailed outline of the issues and objectives of the book is given in Section 1. In Section 2 the historical background of the Bayesian approach and the verisimilitude theory is briefly illustrated. 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. In Section 4 the main lines of a new approach to the problem of the choice of prior probabilities are illustrated. Lastly, in Section 5 the structure of the book is described and a first explanation of some technical terms is provided.

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Optimum Inductive Methods

A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude

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Descriere completă

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