The Natural Axiom System Of Probability Theory


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The Natural Axiom System of Probability Theory


The Natural Axiom System of Probability Theory

Author: Daguo Xiong

language: en

Publisher: World Scientific

Release Date: 2003


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The causation space established in this book is a mathematical model of the random universe and a OC living houseOCO of all random tests and probability spaces. By using this space, one can introduce the mathematical calculation methods related to probability spaces and random tests. The book also points out that the basic unit to be studied in the probability theory is the random test, and not a stand-alone event. Contents: Real Background of Probability Theory; Natural Axiom System of Probability Theory; Introduction of Random Variables. Readership: Researchers and graduate students in probability and statistics."

Natural Axiom System Of Probability Theory, The: Mathematical Model Of The Random Universe


Natural Axiom System Of Probability Theory, The: Mathematical Model Of The Random Universe

Author: Da Guo Xiong

language: en

Publisher: World Scientific

Release Date: 2003-05-22


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The causation space established in this book is a mathematical model of the random universe and a “living house” of all random tests and probability spaces. By using this space, one can introduce the mathematical calculation methods related to probability spaces and random tests. The book also points out that the basic unit to be studied in the probability theory is the random test, and not a stand-alone event.

Theories of Probability


Theories of Probability

Author: Louis Narens

language: en

Publisher: World Scientific

Release Date: 2007


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Standard probability theory has been an enormously successful contribution to modern science. However, from many perspectives it is too narrow as a general theory of uncertainty, particularly for issues involving subjective uncertainty. This first-of-its-kind book is primarily based on qualitative approaches to probabilistic-like uncertainty, and includes qualitative theories for the standard theory as well as several of its generalizations.One of these generalizations produces a belief function composed of two functions: a probability function that measures the probabilistic strength of an uncertain event, and another function that measures the amount of ambiguity or vagueness of the event. Another unique approach of the book is to change the event space from a boolean algebra, which is closely linked to classical propositional logic, to a different event algebra that is closely linked to a well-studied generalization of classical propositional logic known as intuitionistic logic. Together, these new qualitative theories succeed where the standard probability theory fails by accounting for a number of puzzling empirical findings in the psychology of human probability judgments and decision making.