the improved estimator of the variance in the general linear model is presented under an asymmetric linex loss function.

the purpose of this paper is to provide some asymptotic results for nonparametric estimator of the lorenz curve and lorenz process for the case in which data are assumed to be strong mixing subject to random left truncation. first, we show that nonparametric estimator of the lorenz curve is uniformly strongly consistent for the associated lorenz curve. also, a strong gaussian approximation for ...

In this paper we consider the problem of estimation of the frequencies and damping factors of exponential signals in the presence of noise. We propose a non-iterative method based on using forward–backward linear prediction and the notion of extended order modeling. In addition to providing estimators of the unknown parameters in the model, the proposed method can be used to specify initial val...

In this paper an original interacting particle system approach is developed for studying Markov chains in rare event regimes. The proposed particle system is theoretically studied through a genealogical tree interpretation of Keynman-Kac path measures. The algorithmic implementation of the particle system is presented. An efficient estimator for the probability of ocurrence of a rare event is p...

The properties of low-redshift Type Ia supernovae are investigated using published multi-band optical broadband data from the Calan/Tololo and CfA surveys. The average time evolution of B − V, V − R, R − I, B − I and V − I, the intrinsic dispersion and time correlations are studied. This information is required to deduce the extinction of such explosions from the measured colours. We find that ...

We present preliminary results of 2dF spectroscopy of globular clusters in The Sombrero (M104). We find 56 new clusters, and compile a total sample of 103 velocities combined with previous data. Our 2dF data extend out to 20 arcmin radius (∼50 kpc), much further than previous studies. In the combined sample, we tentatively find a steep drop in the velocity dispersion with radius, which might po...

We propose an estimating function method for two related applications, matchedpair studies and studies with errors-in-covariates under a functional model, where a mismeasured unknown scalar covariate is treated as a xed nuisance parameter. Our method addresses the severe inferential problem posed by an abundance of nuisance parameters in these two applications. We propose orthogonal locally anc...

This paper examines the evidence for regional convergence or catch-up in levels and growth rates of per capita income among the 16 major states in India between 1960 and 1992. The results — estimated using OLS, the within-group LSDV estimator, Re-Weighted Least Squares, and Least Trimmed Squares — establish that unconditional convergence in growth rates does not obtain, but that there is clear ...

We study the effect of contamination by interlopers in kinematic samples of galaxy clusters. We demonstrate that without the proper removal of interlopers the inferred parameters of the mass distribution in the cluster are strongly biased towards higher mass and lower concentration. The interlopers are removed using two procedures previously shown to work most efficiently on simulated data. One...

In clinical and observational studies, recurrent event data (e.g., hospitalization) with a terminal event (e.g., death) are often encountered. In many instances, the terminal event is strongly correlated with the recurrent event process. In this article, we propose a semiparametric method to jointly model the recurrent and terminal event processes. The dependence is modeled by a shared gamma fr...