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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Annals of the Institute of Statistical Mathematics 45 (1993), S. 201-210 
    ISSN: 1572-9052
    Keywords: Eulerian numbers ; Gould and Hopper numbers ; minimum chi-square estimation ; unimodality
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The Morisita's model for estimating the habitat preference by the ant lionsGenuroides japonicus is generalized by introducing, in addition to the environmental densitiesa andb, a repulsivity parameter ϑ. The probability function of the numberL n of individuals choosing fine sand to settle when a total ofn ant lions are introduced is examined. A heuristic and the minimum chi-square methods for estimating the parametersa, b and ϑ are discussed.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Annals of the Institute of Statistical Mathematics 43 (1991), S. 197-206 
    ISSN: 1572-9052
    Keywords: Eulerian numbers ; Eulerian polynomials ; Stirling numbers ; random permutations ; unimodality ; asymptotic normality
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The distribution with probability function p k(n, α, β) = A n, k(α, β)/(α+ β)[p], k = 0, 1, 2, ..., n, where the parameters α and β are positive real numbers, A n, k (α, β) is the generalized Eulerian number and (α + β)[n] = (α + β)(α + β +1) ... (α + β +n − 1), introduced and discussed by Janardan (1988, Ann. Inst. Statist. Math., 40, 439–450), is further studied. The probability generating function of the generalized Eulerian distribution is expressed by a generalized Eulerian polynomial which, when expanded suitably, provides the factorial moments in closed form in terms of non-central Stirling numbers. Further, it is shown that the generalized Eulerian distribution is unimodal and asymptotically normal.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Metrika 33 (1986), S. 203-216 
    ISSN: 1435-926X
    Keywords: linear function Poisson distribution ; linear function binomial distribution ; linear function negative binomial distribution ; fluctuations of sums of random variables ; Lagrange series ; Bell partition polynomials
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary A general model in fluctuations of sums of random variables leading, under certain assumptions, to each of the generalized and linear function Poisson, binomial and negative binomial distributions is presented. Moreover the generating functions and the factorial moments of the linear function Poisson, binomial and negative binomial distributions are obtained in close forms and certain distributional properties are discussed.
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Metrika 28 (1981), S. 83-92 
    ISSN: 1435-926X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The present paper deals with two types of generalized general binomial (binomial or negative binomial) distributions: (i) a univariate general binomial generalized by a bivariate distribution and (ii) a bivariate general binomial generalized by two independent univariate distributions. The probabilities, moments, conditional distributions and regression functions for these distributions are obtained in terms of bipartitional polynomials. Moreover recurrence relations for the probabilities and moments, independent of the bipartitional polynomials, are given. Finally these general results are applied to the (i) Binomial-Bivariate Poisson and (ii) Bivariate Binomial-Poissons distributions.
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  • 5
    ISSN: 1435-926X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary The minimum variance unbiased estimation for the zero class truncated bivariate Poisson and logarithmic series distributions is discussed. The distribution of a suitable complete and sufficient statistic is obtained in each case. These distributions, as well as the corresponding minimum variance unbiased estimators have been expressed in terms of certain polynomials with coefficients Stirling numbers.
    Type of Medium: Electronic Resource
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