We present a function ρ (F1, F2, t) which contains Matusita’s affinity and express the «affinity » between moment generating functions. An interesting result is expressed through decomposition of this «affinity » ρ (F1, F2, t) when the functions considered are k−dimensional normal distributions. The same decomposition remains true for others families of distribution functions. Generalizations of these results are also presented
This article obtains characterizations for the binomial. Grassia I-binomial, (carrier-borne epidemic...
We derive formulae for the higher order tail moments of the lower truncated multivariate standard no...
The paper deals with sets of distributions which are given by moment conditions for the distribution...
By analogy to the real case established by Matusita (1955) we introduce the concept of affinity betw...
Since histograms give little quantitative information about distribution, more detail descriptions a...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
Two deficiencies in using moment-generating functions are given and illustrated with examples. Many ...
Characteristic Functions (cf) have been used to establish the convergence of several independent and...
In this note, we show that if a sequence of moment generating functions Mn(t) converges pointwise to...
The main objective of the present paper is to define k-gamma and k-beta distributions and moments ge...
It is shown how rth moments of random variables and rth product moments of spacings between random v...
Many of the important characteristics and features of a distribution are obtained through the ordina...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...
© 2016, Springer Science+Business Media New York. A unifying and generalizing approach to representa...
This article obtains characterizations for the binomial. Grassia I-binomial, (carrier-borne epidemic...
We derive formulae for the higher order tail moments of the lower truncated multivariate standard no...
The paper deals with sets of distributions which are given by moment conditions for the distribution...
By analogy to the real case established by Matusita (1955) we introduce the concept of affinity betw...
Since histograms give little quantitative information about distribution, more detail descriptions a...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
Two deficiencies in using moment-generating functions are given and illustrated with examples. Many ...
Characteristic Functions (cf) have been used to establish the convergence of several independent and...
In this note, we show that if a sequence of moment generating functions Mn(t) converges pointwise to...
The main objective of the present paper is to define k-gamma and k-beta distributions and moments ge...
It is shown how rth moments of random variables and rth product moments of spacings between random v...
Many of the important characteristics and features of a distribution are obtained through the ordina...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...
© 2016, Springer Science+Business Media New York. A unifying and generalizing approach to representa...
This article obtains characterizations for the binomial. Grassia I-binomial, (carrier-borne epidemic...
We derive formulae for the higher order tail moments of the lower truncated multivariate standard no...
The paper deals with sets of distributions which are given by moment conditions for the distribution...