10.1 The Chi-square Goodness of Fit Test. The general area of nonparametric statistical inference deals with statistical procedures such as hypothesis testing, point estimation and confidence intervals in problems where the parent distribution has no known functional form. For one reason or another, the chi-square goodness of fit test is considered to be in this area, and so we present it here....

introduction: studying long-term trend changes of meteorological parameters is one of the routine methods in atmospheric studies, especially in the climate change subject. among the meteorological parameters, temperature is always considered as one of the most atmospheric elements and studying it in order to gain a better understanding of the climate change phenomenon, has been effective. in ad...

Classical statistical tests may be sensitive to violations of the fundamental model assumptions inherent in the derivation and construction of these tests. It is obvious that such violations are much more probable in the presence of vague data. Thus nonparametric tests seem to be promising statistical tools. A generalization of the median test for the two-sample problem with vague data is sugge...

Statistical methods based on ranking are known to be versatile and powerful techniques. Nonparametric rank tests for two-way analysis of variance have been studied by several authors, for example: rank transform (RT ) proposed by Conover and Iman (1981); asymptotic theory of RT discussed by Hora and Conover (1984), Akritas (1990) and Thompson and Ammann (1990). McKean and Vidman (1994) suggeste...

background: the workers who are working in the open and warm environments are at risk of health effects of climate and heat changes. it is expected that the risk is increase with global warming. this study aimed to investigate the changes of wet bulb globe temperature (wbgt) index in the past and to predict their trend of future changes in tehran, capital of iran. methods: the meteorological da...

This thesis investigates some unaddressed problems in kernel nonparametrichypothesis testing. The contributions are grouped around three main themes:Wild Bootstrap for Degenerate Kernel Tests. A wild bootstrap method for non-parametric hypothesis tests based on kernel distribution embeddings is pro-posed. This bootstrap method is used to construct provably consistent teststh...

Experimental analysis of the performance of a proposed method is a crucial and necessary task in an investigation. In this paper, we focus on the use of nonparametric statistical inference for analyzing the results obtained in an experiment design in the field of computational intelligence. We present a case study which involves a set of techniques in classification tasks and we study a set of ...

this analysis was conducted on 31 synoptic stations in iran. initially, the mann-kendall test was administered in order to analyse the trend of alterations of these two components over time and the results suggest that 16% of the stations show significant relationship with annual precipitation (positive and negative). more stations showed significant relationships between sunspots and minimum a...

This article concerns nonparametric statistics on manifolds with special emphasis on landmark based shape spaces in which a k-ad, i.e., a set of k points or landmarks on an object or a scene, is observed in 2D or 3D, for purposes of identification, discrimination, or diagnostics. Two different notions of shape are considered: reflection shape invariant under all translations, scaling and orthog...