Asymptotically Efficient Recursive Estimation for Incomplete Data Models Using the Observed Information.
Asymptotically minimax estimation of a constrained Poisson vector via polydisc transforms
Asymptotically minimax estimation of order-constrained parameters and eigenfunctions of the laplacian on the ball
Asymptotically Most Powerful Unbiased Tests in the Independent not Identically Distributed Case
Asymptotically normal confidence intervals for a determinant in a generalized multivariate Gauss-Markoff model
By using three theorems (Oktaba and Kieloch [3]) and Theorem 2.2 (Srivastava and Khatri [4]) three results are given in formulas (2.1), (2.8) and (2.11). They present asymptotically normal confidence intervals for the determinant in the MGM model , , scalar , with a matrix . A known random matrix has the expected value , where the matrix is a known matrix of an experimental design, is an unknown matrix of parameters and is the covariance matrix of being the symbol of the Kronecker...
Asymptotically normal estimation in the linear-fractional regression problem with random errors in coefficients.
Asymptotically normal estimation of a multidimensional parameter in the linear-fractional regression problem.
Asymptotically normal estimation of a parameter in a linear-fractional regression problem.
Asymptotically normal explicit estimation of parameters in the Michaelis--Menten equation.
Asymptotically optimal estimation in a linear fractional regression problem with random errors in coefficients.
Asymptotically optimal estimation in linear regression in the case of violation of some classical assumptions.
Asymptotically Optimal tests in the Independent not Identically Distributed case
Asymptotics for robust MOSUM
Asymptotische Verteilungen einiger Schätzverfahren bei Trend und Fehlern in den Variablen.