AbstractAs is well known, in full rank multivariate exponential families, tests of Neyman structure are uniformly most powerful unbiased for one-sided problems. For the case of lattice distributions, the power of these tests—evaluated at contiguous alternatives—is approximated by asymptotic expansions up to errors of order o(n−1). Surprisingly the tests with Neyman structure are not third-order efficient in the class of all asymptotically similar tests unless the problem is univariate
This is a type of problema that lies outside the scope of the exponential family
AbstractBased on concentration probability of estimators about a true parameter, third-order asympto...
There are hypothesis testing problems for (nonlinear) functions of parameters against functional ord...
AbstractIn full rank multivariate exponential families of lattice distributions, one sided testing p...
AbstractIn full rank multivariate exponential families of lattice distributions, one sided testing p...
AbstractLet Pη, η = (θ, γ) ∈ Θ × Γ ⊂ R × Rk, be a (k + 1)-dimensional exponential family. Let ϕn∗, n...
AbstractLet Pη, η = (θ, γ) ∈ Θ × Γ ⊂ R × Rk, be a (k + 1)-dimensional exponential family. Let ϕn∗, n...
We construct new tests of exponentiality based on Yanev-Chakraborty's characterization of exponenti...
summary:The problem of testing hypothesis under which the observations are independent, identically ...
summary:The problem of testing hypothesis under which the observations are independent, identically ...
AbstractSuppose that {Xi; i = 1, 2, …,} is a sequence of p-dimensional random vectors forming a stoc...
AbstractIt is shown that—under appropriate regularity conditions—the conditional distribution of the...
AbstractIn a general multiparameter setup, this paper proves an optimality property of Rao's test, i...
AbstractIn this paper we obtain asymptotic expansions up to order n−1/2 for the nonnull distribution...
This is a type of problema that lies outside the scope of the exponential family
This is a type of problema that lies outside the scope of the exponential family
AbstractBased on concentration probability of estimators about a true parameter, third-order asympto...
There are hypothesis testing problems for (nonlinear) functions of parameters against functional ord...
AbstractIn full rank multivariate exponential families of lattice distributions, one sided testing p...
AbstractIn full rank multivariate exponential families of lattice distributions, one sided testing p...
AbstractLet Pη, η = (θ, γ) ∈ Θ × Γ ⊂ R × Rk, be a (k + 1)-dimensional exponential family. Let ϕn∗, n...
AbstractLet Pη, η = (θ, γ) ∈ Θ × Γ ⊂ R × Rk, be a (k + 1)-dimensional exponential family. Let ϕn∗, n...
We construct new tests of exponentiality based on Yanev-Chakraborty's characterization of exponenti...
summary:The problem of testing hypothesis under which the observations are independent, identically ...
summary:The problem of testing hypothesis under which the observations are independent, identically ...
AbstractSuppose that {Xi; i = 1, 2, …,} is a sequence of p-dimensional random vectors forming a stoc...
AbstractIt is shown that—under appropriate regularity conditions—the conditional distribution of the...
AbstractIn a general multiparameter setup, this paper proves an optimality property of Rao's test, i...
AbstractIn this paper we obtain asymptotic expansions up to order n−1/2 for the nonnull distribution...
This is a type of problema that lies outside the scope of the exponential family
This is a type of problema that lies outside the scope of the exponential family
AbstractBased on concentration probability of estimators about a true parameter, third-order asympto...
There are hypothesis testing problems for (nonlinear) functions of parameters against functional ord...