Salah satu hal penting dalam analisis statistik adalah prosedur estimasi suatu fungsi padat peluang yang biasa disebut densitas. Ada dua metode pendekatan biasanya digunakan, yaitu parameter terkait dengan asumsi distribusi tertentu dan densitas secara non parametrik. Metode parametrik sering kita jumpai histogram.
 Beberapa kelemahan histogram menjadi acuan untuk dikembangkannya lain kern...

Standard maximum likelihood estimation cannot be applied to discrete energy-based models in the general case because the computation of exact model probabilities is intractable. Recent research has seen the proposal of several new estimators designed specifically to overcome this intractability, but virtually nothing is known about their theoretical properties. In this paper, we present a gener...

A hyperbolic measure of technical efficiency was proposed by Färe et al. (1985) wherein efficiency is measured by the simultaneous maximum, feasible reduction in input quantities and increase in output quantities. In cases where returns to scale are not constant, the non-parametric data envelopment analysis (DEA) estimator of hyperbolic efficiency cannot be written as a linear program; conseque...

Consider a compound Poisson process which is discretely observed with sampling interval ∆ until exactly n nonzero increments are obtained. The jump density and the intensity of the Poisson process are unknown. In this paper, we build and study parametric estimators of appropriate functions of the intensity, and an adaptive nonparametric estimator of the jump size density. The latter estimation ...

Recent attention has been given to Nakagami-0.5 fading channel as a special case of Nakagami-m fading channel with m = 0.5 and as a worst-case (severe) fading scenario. This paper presents a study on the performance analysis of a robust multiuser detector for direct sequencecode division multiple access (DS-CDMA) systems including maximal ratio combining (MRC) receive diversity. A new M-estimat...

Robust estimators, such as Least Median of Squared (LMedS) Residuals, M-estimators, the Least Trimmed Squares (LTS) etc., have been employed to estimate optical flow from image sequences in recent years. However, these robust estimators have a breakdown point of no more than 50%. In this paper, we propose a novel robust estimator, called variable bandwidth Quick Maximum Density Power Estimator ...

We obtain an optimal estimator for a domain (small area) total using a linear least-squares prediction approach under a design-based model. The optimal estimator is the same as that obtained under a super-population model approach, and reproduces the classical form of the synthetic estimator in an extreme case. Using the concept of M-optimality, we generalize a well known theorem (Royall, 1976)...

the gastric cancer in iran is the fourth in the general population. this study was designed to determine the five-year survival rate of gastric cancer patients, and to assess its associated factors. we analyzed the data using a time-dependent covariates model, and recommend it for analyses of similar data. 281 gastric cancer patients with adenocarcinomatous pathology who had been operated on at...

Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify th...

We propose a novel estimator for the number of mixture components (denoted by M) in nonparametric finite model. The setting that we consider is one where analyst has repeated observations K?2 variables are conditionally independent given finitely supported latent variable with M support points. Under mild assumption on joint distribution observed and variables, show an integral operator T ident...