Add to ORKGThe problem of the characterization of multivariate distribution through the property of the zero regression of linear statistic on another one was posed by C. R. Rao. The characterization of probability distributions with independent operator-semistable components by this property is given.operator-semistable law zero regression of linear statistic on another one
The paper examines the nature of the latent random variables which occur in linear structural models...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
This thesis deals with a linear functional relationship model in which the unobserved true values sa...
AbstractThe problem of the characterization of multivariate distribution through the property of the...
The moments of operator-valued semicircular distribution are calculated and a new relation between r...
AbstractSharpe has shown that full operator-stable distributions μ on Rn are infinitely divisible an...
AbstractGeneral functional equations of the type ∑φi(Ai′t+Bi′u)=Ca(u|t)+Db(t|u)+Pk(t,u) and Σφi(Ci′t...
The paper examines in some detail the nature of the probability distribution of the independent an...
Using our previous results we extend to the case of polynomial regression a recent characterization,...
AbstractOperator-stable laws and operator-semistable laws (introduced as limit distributions by M. S...
Characterizations of the binomial, negative binomial, gamma, Poisson, and normal distributions are o...
General functional equations of the type [summation operator][phi]i(Ai't+Bi'u)=Ca(ut)+Db(tu)+Pk(t,u)...
Khatri and Rao's theorem on a characterization of multivariate normal distribution through independe...
For any continuous zero-mean random variable (r.v.) X, a reciprocating function r is constructed, ba...
AbstractCharacterizations of the binomial, negative binomial, gamma, Poisson, and normal distributio...
The paper examines the nature of the latent random variables which occur in linear structural models...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
This thesis deals with a linear functional relationship model in which the unobserved true values sa...
AbstractThe problem of the characterization of multivariate distribution through the property of the...
The moments of operator-valued semicircular distribution are calculated and a new relation between r...
AbstractSharpe has shown that full operator-stable distributions μ on Rn are infinitely divisible an...
AbstractGeneral functional equations of the type ∑φi(Ai′t+Bi′u)=Ca(u|t)+Db(t|u)+Pk(t,u) and Σφi(Ci′t...
The paper examines in some detail the nature of the probability distribution of the independent an...
Using our previous results we extend to the case of polynomial regression a recent characterization,...
AbstractOperator-stable laws and operator-semistable laws (introduced as limit distributions by M. S...
Characterizations of the binomial, negative binomial, gamma, Poisson, and normal distributions are o...
General functional equations of the type [summation operator][phi]i(Ai't+Bi'u)=Ca(ut)+Db(tu)+Pk(t,u)...
Khatri and Rao's theorem on a characterization of multivariate normal distribution through independe...
For any continuous zero-mean random variable (r.v.) X, a reciprocating function r is constructed, ba...
AbstractCharacterizations of the binomial, negative binomial, gamma, Poisson, and normal distributio...
The paper examines the nature of the latent random variables which occur in linear structural models...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
This thesis deals with a linear functional relationship model in which the unobserved true values sa...