probability distribution
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1: 24.18 Physical Applications
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►Bernoulli polynomials appear in statistical physics (Ordóñez and Driebe (1996)), in discussions of Casimir forces (Li et al. (1991)), and in a study of quark-gluon plasma (Meisinger et al. (2002)).
►Euler polynomials also appear in statistical physics as well as in semi-classical approximations to quantum probability distributions (Ballentine and McRae (1998)).
2: 19.31 Probability Distributions
§19.31 Probability Distributions
► and occur as the expectation values, relative to a normal probability distribution in or , of the square root or reciprocal square root of a quadratic form. …3: 35.9 Applications
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►In multivariate statistical analysis based on the multivariate normal distribution, the probability density functions of many random matrices are expressible in terms of generalized hypergeometric functions of matrix argument , with and .
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►In the nascent area of applications of zonal polynomials to the limiting probability distributions of symmetric random matrices, one of the most comprehensive accounts is Rains (1998).
4: Bibliography B
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Moment equations for probability distributions in classical and quantum mechanics.
Phys. Rev. A 58 (3), pp. 1799–1809.
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5: 8.23 Statistical Applications
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►The functions and are used extensively in statistics as the probability integrals of the gamma distribution; see Johnson et al. (1994, pp. 337–414).
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6: 3.5 Quadrature
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►In more advanced methods points are sampled from a probability distribution, so that they are concentrated in regions that make the largest contribution to the integral.
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7: 7.20 Mathematical Applications
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►For applications in statistics and probability theory, also for the role of the normal distribution functions (the error functions and probability integrals) in the asymptotics of arbitrary probability density functions, see Johnson et al. (1994, Chapter 13) and Patel and Read (1982, Chapters 2 and 3).
8: Bibliography H
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Computation of certain integrals that contain a probability function.
Bul. Akad. Štiince RSS Moldoven 1968 (2), pp. 81–104. (errata insert) (Russian).
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Certain integrals that contain a probability function and degenerate hypergeometric functions.
Bul. Akad. S̆tiince RSS Moldoven 1969 (2), pp. 40–47 (Russian).
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Some integrals that contain a probability function and hypergeometric functions.
Bul. Akad. Štiince RSS Moldoven 1970 (1), pp. 49–62 (Russian).
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The Laplace transform for expressions that contain a probability function.
Bul. Akad. Štiince RSS Moldoven. 1973 (2), pp. 78–80, 93 (Russian).
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Certain integrals that contain a probability function.
Bul. Akad. Štiince RSS Moldoven. 1975 (2), pp. 86–88, 95 (Russian).
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9: Bibliography L
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Algorithm 344: Student’s t-distribution [S14].
Comm. ACM 12 (1), pp. 37–38.
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On the Darling-Mandelbrot probability density and the zeros of some incomplete gamma functions.
Constr. Approx. 10 (1), pp. 15–30.
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Sur la distribution des nombres premiers.
Comptes Rendus de l’Academie des Sciences, Paris 158, pp. 1869–1872 (French).
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10: Bibliography C
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Ellipsoidal distributions of charge or mass.
J. Mathematical Phys. 2, pp. 441–450.
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Algorithm AS 310. Computing the non-central beta distribution function.
Appl. Statist. 46 (1), pp. 146–156.
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Calculation of angular distributions in complex angular momentum theories of elastic scattering.
Molecular Physics 37 (6), pp. 1703–1712.
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Some non-central distribution problems in multivariate analysis.
Ann. Math. Statist. 34 (4), pp. 1270–1285.
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