A method is described for the calculation of the three-parameter Weibull distribution function from censored samples. The method introduces a data driven technique based on an adapted Gaussian like kernel to match the censoring scheme. The method minimizes the Cramer von Mises distance from a non-parametric density estimate and the parametric estimate at the order statistics. The maximum likeli...

the discharge data used for hydrological modeling should be the long-term suitable random data without trend and jump which is followed a specific statistical distribution. in this study, the above mentioned conditions were evaluated for 31 years period (1974-2004) of annual mean discharge data of 10 gauging stations of west azarbaijan province. for this purpose, the non-parametric spearman cor...

Robust statistics is an extension of classical parametric statistics that specifically takes into account the fact that the assumed parametric models used by the researchers are only approximate. In this article, we review and outline how robust inferential procedures may routinely be applied in practice in the biomedical research. Numerical illustrations are given for the t-test, regression mo...

The drizzle algorithm is a widely used tool for image enhancement in the astronomical literature. For example, a very popular implementation of this method, as studied by Frutcher and Hook [1], has been used to fuse, denoise, and increase the spatial resolution of the images captured by the Hubble Space Telescope (HST). However, the drizzle algorithm is an ad-hoc method, equivalent to a spatial...

the paper has been performed to review library administrators' strategic planning role to improve the library staff of medical sciences university of iran. the study is survey-descriptive. the statistical population consists of 50 library administrators working in iran medical sciences university, but 44 subjects responded to the questionnaire used to gather data. the reliability (91.7%) w...

kernel density estimators are the basic tools for density estimation in non-parametric statistics.  the k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the location of the sample points. in this paper‎, we  initially introduce the k-nearest neighbor kernel density estimator in the random left-truncatio...

High-resolution methods are generally defined to be high-performance methods for estimating and/or detecting the desired and/or undesired signal components present in a given set of data. The term “high-resolution” also implies a good ability to resolve very “similar” signal components. One of the most common problems in signal processing is known as frequency estimation. In frequency estimatio...

The parametric bootstrap tests and the asymptotic or approximate tests for detecting difference of two Poisson means are compared. The test statistics used are the Wald statistics with and without log-transformation, the Cox F statistic and the likelihood ratio statistic. It is found that the type I error rate of an asymptotic/approximate test may deviate too much from the nominal significance ...

ew approach for channel blind identification based on second order cyclostationary statistics and the group delay een proposed. In this, two methods are proposed. In both the methods, the correction is applied to the basic phase ate for both the poles and zeros, in the group delay domain. The basic phase estimate is derived from the spectral lation density (SCD) of the system output. In the fir...

Promotion of Position, Work Discipline, Organizational Culture, Job Satisfaction, and Performance were variables in this study. SEM-PLS is used to analyze data using both parametric non-parametric statistics (Structural Equation Modeling-Partial Least Square) Research variable analysis statistics, calibration pilot tests, validity reliability, the outer inner models, discussion findings hypothe...