This paper describes a method for the computation of the asymptotic distribution of any statistic or estimator which is a continuous function of sample second order moments of random variables having a dynamic linear normal distribution of the form : Zt = IIt-1 + εt where εt iN(0, σ) The method uses a general theorem due to Hannan [1970] and simplifies it in decomposing II in Jordan canonical form
This book is devoted to a systematic analysis of asymptotic behavior of distributions of various typ...
An asymptotic formula for the 2kth moment of a sum of multiplicative Steinahus variables is given. T...
We study the asymptotic distributions of linear combinations of order statistics (L-statistics) whic...
Under general conditions, the asymptotic distribution of degenerate second-order U- and V-statistics...
In dynamical statistics we are very often confronted with the problem of finding the best analytical...
Abstract. This paper establishes the first four moment expansions to the order o(a−1) of S′ta/ ta, w...
International audienceLet X be a mean zero stationary Gaussian process with variance one, assumed to...
Abstract: Aras and Woodroofe (1993) provide asymptotic expansions of the first four moments of where...
AbstractWe define the appropriate analogue of Student′s t-statistic for multivariate data, and prove...
We introduce sufficiently wide classes of non--linear functionals preserving normal (Gaussian) distr...
We define the appropriate analogue of Student's t-statistic for multivariate data, and prove that it...
In the article, the linear dynamic random model of n–th order described by the random state equation...
The asymptotic relative efficiency of efficient method of moments when implemented with a seminonpar...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computatio...
A method of deriving asymptotics for linear processes is introduced which uses an explicit algebraic...
This book is devoted to a systematic analysis of asymptotic behavior of distributions of various typ...
An asymptotic formula for the 2kth moment of a sum of multiplicative Steinahus variables is given. T...
We study the asymptotic distributions of linear combinations of order statistics (L-statistics) whic...
Under general conditions, the asymptotic distribution of degenerate second-order U- and V-statistics...
In dynamical statistics we are very often confronted with the problem of finding the best analytical...
Abstract. This paper establishes the first four moment expansions to the order o(a−1) of S′ta/ ta, w...
International audienceLet X be a mean zero stationary Gaussian process with variance one, assumed to...
Abstract: Aras and Woodroofe (1993) provide asymptotic expansions of the first four moments of where...
AbstractWe define the appropriate analogue of Student′s t-statistic for multivariate data, and prove...
We introduce sufficiently wide classes of non--linear functionals preserving normal (Gaussian) distr...
We define the appropriate analogue of Student's t-statistic for multivariate data, and prove that it...
In the article, the linear dynamic random model of n–th order described by the random state equation...
The asymptotic relative efficiency of efficient method of moments when implemented with a seminonpar...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computatio...
A method of deriving asymptotics for linear processes is introduced which uses an explicit algebraic...
This book is devoted to a systematic analysis of asymptotic behavior of distributions of various typ...
An asymptotic formula for the 2kth moment of a sum of multiplicative Steinahus variables is given. T...
We study the asymptotic distributions of linear combinations of order statistics (L-statistics) whic...