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Asymptotic multivariate normality for the subseries values of a general statistic form a stationary sequence - with applications to nonparametric confidence intervals。
In [5] we have announced a h e a r spllne method for nonparametric density and distribution estimation on the real line. In this paper, asymptotic properties of a large family of such estimators a...
Consider an ordered sample that is selected from a finite population successively without replacement and with probability proportional to some measure of size. In this paper, we study the asymptot...
In [12] it was proved that the process of waiting times for single server queues is asymptotically stationary if (1) a generic process X = (Xkk, 2 1) is asymptotically stationary, (2) X satisfies c...
A Brownian motion on the Sierpiriski gasket gets absorbed at the boundary of a cloud of balls with centers distributed according to an independent Poisson law. The aim of this paper is to investiga...
In the paper, a sequential confidence set based on an estimation process of a multivariate parameter is constructed. Under the assumption that the estimation process scaled by an increasing positiv...
The Bayesian point-null testing problem is studied asymptotically under a high-dimensional normal-means model. A noninformative prior structure is proposed for general problems, and then rened for t...
Wc mnf;i&r the paablem of density estimation for m a one-sided linear prosees X, = zt _ , a, Z, , with i.id square iategra- Me kovatims - We prove that under weak contritions on (ai)&, which imply ...
We consider three new schemes of random splitting of a unit interval. These schemes am related to settings considered earlier in literature. Essentially we are concerned with asymptotic behavior of ...
We describe and investigate new tests for testing the validity of a semiparametric random-design linear regression model. The tests were introduced in Inglot and Ledwina (2006a, b). We repeat here ...
Under the symmetric a-stable distributional assumption for the disturbances, Blattberg and Sargent [3] consider unbiased linear estimators for a regression model with non-stochastic regressors. We ...

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