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Quasinormal distributions and expansion at the mode

Journal Article · · Journal of Statistical Physics
DOI:https://doi.org/10.1007/BF01010217· OSTI ID:1442839
 [1]
  1. Univ. of Michigan, Ann Arbor, MI (United States). Randall Lab. of Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States)

The Gram-Charlier series of type A is discussed here in terms ofdeviants which are related to moments in a way similar to the way Hermite polynomials are related to the powers. Distribution functions are also expressed in terms of the mode and moments (cumulants or deviants), which are useful expansions when the distributions are approximately normal. It is shown that such expansions as well as the Gram-Charlier series are valid asymptotically for discrete distributions defined on the semiinfinite interval [0, ∞].

Research Organization:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
US Atomic Energy Commission (AEC)
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1442839
Alternate ID(s):
OSTI ID: 7320740
Report Number(s):
SLAC-PUB--1233
Journal Information:
Journal of Statistical Physics, Journal Name: Journal of Statistical Physics Journal Issue: 3 Vol. 11; ISSN 0022-4715
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

References (7)

The 200 GeV multiplicity distribution and scaling journal October 1972
A new model for particle multiplicities in strong interaction production processes journal July 1972
Multiplicity distribution in high energy collisions journal October 1973
The mode and Median of a Nearly Normal Distribution with Given Cumulants journal January 1942
Evidence for the Systematic Behavior of Charged-Prong Multiplicity Distributions in High-Energy Proton-Proton Collisions journal April 1973
Asymptotic Multiplicity Distributions and Analog of the Central-Limit Theorem journal October 1973
Moments and Cumulants in the Specification of Distributions
  • Cornish, E. A.; Fisher, R. A.
  • Revue de l'Institut International de Statistique / Review of the International Statistical Institute, Vol. 5, Issue 4 https://doi.org/10.2307/1400905
journal January 1938

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M-estimation with probabilistic models of geodetic observations journal June 2014

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