Results 251 to 260 of about 651,740 (292)

Statistical Independence in Probability, Analysis and Number Theory. By Mark Kac. Pp. 93. 24s. 1959. Carus Mathematical Monographs No. 12. (Chapman and Hall)

The Mathematical Gazette, 1962
P. Holgate
semanticscholar   +4 more sources

Probability Theory: Independence, Interchangeability, Martingales [PDF]

Journal of the American Statistical Association, 1998
Robert B. Lund, Yuan Shih Chow, Henry Teicher   +2 more
openaire   +2 more sources

Keynes’s Methodology of Criticism: Probability and Classical Economic Theory. Logical Fallacies: The Introduction of the Tacit Assumptions of Homogeneity and Independence

, 2021
This chapter deals with Keynes’s actual way of criticising the classical economic theory compared with his own way of reasoning in A Treatise on Money and the General Theory. This chapter shows the persistence, continuity and coherence of Keynes’s methodological approach in the search for logical fallacies and tacit assumptions.
Anna M. Carabelli
openaire   +3 more sources

Probability Theory: Independence, Interchangeability, Martingales.

Journal of the Royal Statistical Society. Series A (General), 1979
J. F. C. Kingman, Y. S. Chow, H. Teicher, D. Williams   +3 more
openaire   +3 more sources

Independence in Probability Theory

, 1973
PAUL E. PFEIFFER, DAVID A. SCHUM
openaire   +2 more sources

NOTIONS OF INDEPENDENCE IN ALGEBRAIC PROBABILITY THEORY AND SET PARTITION STATISTICS

Quantum Information IV, 2002
Yukihiro Hashimoto
openaire   +3 more sources

Carus Mathematical Series: Statistical Independence in Probability, Analysis and Number Theory (Carus Mathematical Monographs, No. 12). Mark Kac. Wiley, New York, 1959. xiv + 93 pp. $3.

Science, 1961
Churc̀hill Eisenhart
  +4 more sources

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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

A theory of independent fuzzy probability for system reliability

IEEE Transactions on Fuzzy Systems, 1999
Fuzzy fault trees provide a powerful and computationally efficient technique for developing fuzzy probabilities based on independent inputs. The probability of any event that can be described in terms of a sequence of independent unions, intersections, and complements may be calculated by a fuzzy fault tree.
J. Dunyak, I.W. Saad, Donald C. Wunsch
openaire   +2 more sources

Statistical Independence and Kolmogorov’s Probability Theory

, 2017
Manfred Denker, Wojbor Woyczynski
openaire   +2 more sources