SUMMARY. For a vector of estimable parameters, a modified version of the James-Stein rule (incorporating the idea of preliminary test estimators) is utilized in formulating some estimators based on U-statistics and their jackknifed estimator of dispersion matrix. Asymptotic admissibility properties of the classical U-statistics, their preliminary test version and the proposed estimators are stu...

The purpose of this paper is to investigate conditions on the underlying distribution functions and the parameters, on which the generalized order statistics are based on, to establish the usual stochastic and the likelihood ratio orderings of general p-spacings by conditioning on the right tail of another lower indexed generalized order statistics. Some potential applications are also given.

This paper considers inference for parameters defined by moment inequalities and equalities. The parameters need not be identified. For a specified class of test statistics, this paper establishes the uniform asymptotic validity of subsampling, m out of n bootstrap, and “plug-in asymptotic” tests and confidence intervals for such parameters. Establishing uniform asymptotic validity is crucial i...

Signal processing algorithms and architectures can use dynamic reconfiguration to exploit variations in signal statistics with the objectives of improved performance and reduced power. Parameters provide a simple and formal way to characterize incremental changes to a computation and its computing mechanism. This paper develops a framework for dynamic parameterization and applies it to MPEG-4 m...

Evaluating the likelihood function of parameters in complex population genetic models from extant deoxyribonucleic acid (DNA) sequences is computationally prohibitive. In such cases, one may approximately infer the parameters from various summary statistics of the data. Such method are known as approximate likelihood/Bayesian computations. We employ computational commutative algebraic methods t...

Second order statistics provides an efficient representation of a fading channel and plays a major role in the designing and evaluation of the wireless communication systems. This paper presents a channel model framework for the implementation of important second order statistical parameters, in particular the Level Crossing Rate (LCR) and the Average Fade Duration (AFD). In addition to this, o...

the goal of this research is the determining of planting date and providing agricultural calendar for corn in kermanshah province using climatic elements of temperature and rain fall. so, at first, long term  climatic statistics are collected from 2001 to 2011  and then  considered to temperature and rain fall parameters like  absolute maximum and minimum  in region during growth period, planti...

In this paper we derive a test statistic generating equation (TSGE) from which several statistics suitable for testing parametric restrictions in models estimated by the generalized method of moments (GMM) may be obtained. This statistic presents three main features: it is valid for producing statistics appropriate for testing constraints expressed in very general forms, which may involve not o...

This review considers experimental research that has used probability theory and statistics as a framework within which to study human statistical inference. The experiments have investigated estimates of proportions, means, variances, and correlations, both of samples and of populations. In some experiments, parameters of populations were stationary; in others, the parameters changed over time...

We present an analytically tractable model of Internet evolution at the level of Autonomous Systems (ASs). We call our model the multiclass preferential attachment (MPA) model. As its name suggests, it is based on preferential attachment. All of its parameters are measurable from available Internet topology data. Given the estimated values of these parameters, our analytic results predict a def...