Results 281 to 290 of about 4,027,935 (330)

Creating Modern Probability: Its Mathematics, Physics and Philosophy in Historical Perspective

, 1994
Preface 1. Introduction 2. Pathways to modern probability 3. Probability in statistical physics 4. Quantum mechanical probability and indeterminism 5. Classical embeddings of probability and chance 6. Von Mises' frequentist probabilities 7.
J. Plato
semanticscholar   +1 more source

Introduction to Probability and Mathematical Statistics.

Biometrics, 1993
Probability Random Variables and Their Distributions Special Probability Distributions Joint Distributions Properties of Random Variables Functions of Random Variables Limiting Distributions Statistics and Sampling Distributions Point Estimation Sufficiency and Completeness Interval Estimation Test of Hypotheses Contingency Tables and Goodness-of-Fit ...
Max Engelhardt, Lee J. Bain
openaire   +2 more sources

Elements of applied probability for engineering, mathematics and systems science

, 2004
Elements of applied probability for engineering, mathematics and systems science , Elements of applied probability for engineering, mathematics and systems science , کتابخانه دیجیتال جندی شاپور ...
David McDonald
semanticscholar   +1 more source

Mathematical Foundations of Probability Theory

1984
The theory of probability, as a mathematical discipline, can and should be developed from axioms in exactly the same way as Geometry and Algebra. This means that after we have defined the elements to be studied and their basic relations, and have stated the axioms by which these relations are to be governed, all further exposition must be based ...
openaire   +2 more sources

Mathematics as an Educational Task

, 1972
I. The Mathematical Tradition.- II. Mathematics Today.- III. Tradition and Education.- IV. Use and Aim of Mathematics Instruction.- V. The Socratic Method.- VI. Re-invention.- VII. Organization of a Field by Mathematizing.- VIII. Mathematical Rigour.- IX.
H. Freudenthal
semanticscholar   +1 more source

Concentration Inequalities: A Nonasymptotic Theory of Independence

, 2013
Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics,
S. Boucheron, G. Lugosi, P. Massart
semanticscholar   +1 more source

Mathematical Model of Behavior Probability

Systems Engineering - Theory & Practice, 2007
Abstract To describe probabilities of behaviors under certain expectation of return, the mathematical model of behavior probability is set up. The inputs of the model are expected returns; the outputs of the model are behavior probabilities. In the case of colonies, the behavior probability can be regarded as the proportion of those who take the ...
Yue Jiao, Shao-rong Sun, Chun-xia Liu
openaire   +2 more sources

Saussure or the Dread of Mathematical Probabilities [PDF]

, 2011
The meaning of a phrase is related to its sequence of sounds and its enunciation. But how is this correspondence made? Does it involve a mapping from a set of terms to a set of meanings? Or is it more global - the meaning of a word depending on the context and influencing this context in return? In that case, are there situations where several meanings
openaire   +1 more source

The Emergence of Probability

, 1976
The Greeks discussed randomness in a qualitative way: Democritus (460BC), Epicurus (341BC) … Yet, mathematical theory of probability came very late:-Gerolamo Cardano (b.
T. Fine, I. Hacking
semanticscholar   +1 more source

Frequencies and the Mathematics of Probability

2018
Of the many sorts of questions that can be asked of a specific piece of reasoning in natural science the following three may be distinguished: 1. Does it follow? That is, are the conclusions so related to the evidence (or premises) that they may be said necessarily to follow from them?
openaire   +2 more sources