Now showing items 1-10 of 30
Parametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse
(Blackwell Publishing Inc, 2007-12)
This article concerns item nonresponse adjustment for two-stage cluster samples. Specifically, we focus on two types of nonignorable nonresponse: nonresponse depending on covariates and underlying cluster characteristics, ...
Confidence intervals with fixed proportional accuracy
(Elsevier, 1986-1987)
The problem of setting a confidence interval with fixed proportional accuracy for the mean of a normal distribution is considered. A sequential procedure is proposed; and asymptotic expansions for its average coverage ...
Singh's theorem in the lattice case
(Elsevier, 1988-12)
The asymptotic behavior of the parametric bootstrap estimator of the sampling distribution of a maximum likelihood estimator is investigated in a simple lattice case, integer valued random variables whose distributions ...
R-code for fitting max-linear models via minimum CRPS
(2015-03-09)
This is R-code for fitting max-linear models by minimizing the Continuously Ranked Probability Score.
A.P.O. rules are asymptotically non deficient for estimation with squared error loss
(Springer-Verlag, 1981-09)
The problem considered is sequential estimation of the mean θ of a one-parameter exponential family of distributions with squared error loss for estimation error and a cost c >0 for each of an i.i.d. sequence of potential ...
Mixed-Effect Hybrid Models for Longitudinal Data with Nonignorable Dropout
(Blackwell Publishing Inc, 2009-06)
Selection models and pattern-mixture models are often used to deal with nonignorable dropout in longitudinal studies. These two classes of models are based on different factorizations of the joint distribution of the outcome ...
Meta-Analysis of Studies with Missing Data
(Blackwell Publishing Inc, 2009-06)
Consider a meta-analysis of studies with varying proportions of patient-level missing data, and assume that each primary study has made certain missing data adjustments so that the reported estimates of treatment effect ...
Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
(Blackwell Publishing Inc, 2008-06)
Variable selection in high-dimensional clustering analysis is an important yet challenging problem. In this article, we propose two methods that simultaneously separate data points into similar clusters and select informative ...
On the weak convergence of stochastic processes without discontinuities of the second kind
(Springer-Verlag, 1968-03)
Subspaces D α , α > 0, of D [0, 1] are defined and given complete metrics d α which are stronger than the Prokhorov metric. The spaces ( D α d α ) are shown to be separable, and their pre-compact subsets are characterized. ...