The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric statistical methods that depend on a variety of assumptions. In this work, we use real resting-state data and a total of 3 million random task group analyses to compute empirical familywise error rates for the fMRI software packages SPM, FSL, and AFNI, as well as a nonparametric permutation method. Fo...

The purpose of this paper is to investigate the trend precipitation in Kilkis region (Greece) at site and regional level various time scales. At level, was analyzed using three tests: 1) Mann-Kendall, 2) Sen’s T 3) Spearman while slope estimated estimator. a nonparametric spatial tests such as Regional Average Mann-Kendall (RAMK) BECD’s (Bootstrap Empirical Cumulative Distributions) were elabor...

Statistical inference for stochastic processes with time varying spectral characteristics has received considerable attention during the last decades. We develop a nonparametric test for stationarity against the alternative of a smoothly time-varying spectral structure. The test is based on a comparison between the sample spectral density calculated locally on a moving window of data and a glob...

In this paper we investigate applicability of statistical techniques for defect detection in radiographic images of welds. The defect detection procedure consists in a statistical hypothesis testing using several nonparametric tests. A comparison of rules derived for image thresholding for a given level of false alarm is presented. In this work we consider circular defects such as cavities and ...

In this paper we show how the Färe, Grosskopf and Lovell (1985) input congestion nonparametric test can be performed to reach a statistical conclusion. To achieve this goal, we use Simar and Wilson (1998, 2000) radial distance functions bootstrap technique. An empirical illustration on airports congestion is provided. The results show that the technology is globally congested and that nine of t...

this study is aimed at comparison of two quantitative model arima and madm in predicting manpower costs. also qualitative issue and problems of manpower planning are transformed in to qualitative one’s so as optimum planning and forecasting be made. in this study, we first used the time- series models especially arima, to fit forecasting manpower costs in shiraz hafez tile mfg. plant and extrac...

The receiver operating characteristic (ROC) curve methodology is the statistical methodology for assessment of the accuracy of diagnostics tests or bio-markers. Currently most widely used statistical methods for the inferences of ROC curves are complete-data based parametric, semi-parametric or nonparametric methods. However, these methods cannot be used in diagnostic applications with missing ...