AbstractIn this paper we consider the probability density function (pdf) of a non-central χ2 distribution with arbitrary number of degrees of freedom. For this function we prove that can be represented as a finite sum and we deduce a partial derivative formula. Moreover, we show that the pdf is log-concave when the degrees of freedom is greater or equal than 2. At the end of this paper we present some Turán-type inequalities for this function and an elegant application of the monotone form of l'Hospital's rule in probability theory is given
Interesting properties and propositions, in many branches of science such as economics have been ob...
Some new upper bounds for noncentral chi-square cdf are derived from the basic symmetries of the mul...
The quantiles of the central and non-central chi squared distributions cannot be expressed as explic...
In this paper the probability density functions for definite and indefinite quadratic forms of non c...
Nonparametric statistics for distribution functions F or densities f=F' under qualitative shape cons...
Computation of the non-central chi square probability density function is encountered in diverse fie...
In many applications,assumptions about the log-concavity of a probability distribution allow just en...
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
We derive Laguerre expansions for the density and distribution functions of a sum of positive weight...
In this paper, a general form of the cumulative distribution function and a moment generating functi...
This paper presents the derivation new expressions for the statistics of a Chi-square distribution w...
For a non-negative continuous random variable , Chaudhry and Zubair (2002, p. 19) introduced a proba...
The unbalanced non-central chi-square distribution with 1 degree of freedom, introduced (and called ...
We obtain a new sharp lower estimate for tails of the central chi-square distribution. Using it we p...
AbstractLetPa(x)=(1/Γ(x))∫a0e−ttx−1dtbe the chi square distribution function, and letMt(u,v;α) be th...
Interesting properties and propositions, in many branches of science such as economics have been ob...
Some new upper bounds for noncentral chi-square cdf are derived from the basic symmetries of the mul...
The quantiles of the central and non-central chi squared distributions cannot be expressed as explic...
In this paper the probability density functions for definite and indefinite quadratic forms of non c...
Nonparametric statistics for distribution functions F or densities f=F' under qualitative shape cons...
Computation of the non-central chi square probability density function is encountered in diverse fie...
In many applications,assumptions about the log-concavity of a probability distribution allow just en...
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
We derive Laguerre expansions for the density and distribution functions of a sum of positive weight...
In this paper, a general form of the cumulative distribution function and a moment generating functi...
This paper presents the derivation new expressions for the statistics of a Chi-square distribution w...
For a non-negative continuous random variable , Chaudhry and Zubair (2002, p. 19) introduced a proba...
The unbalanced non-central chi-square distribution with 1 degree of freedom, introduced (and called ...
We obtain a new sharp lower estimate for tails of the central chi-square distribution. Using it we p...
AbstractLetPa(x)=(1/Γ(x))∫a0e−ttx−1dtbe the chi square distribution function, and letMt(u,v;α) be th...
Interesting properties and propositions, in many branches of science such as economics have been ob...
Some new upper bounds for noncentral chi-square cdf are derived from the basic symmetries of the mul...
The quantiles of the central and non-central chi squared distributions cannot be expressed as explic...