Asset prices observed in financial markets combine equilibrium prices and market microstructure noise. In this paper, we study how to tell apart large shifts in equilibrium prices from noise using high frequency data. We propose a new nonparametric test which allows us to asymptotically remove the noise from observable price data and to discover jumps in fundamental asset values. We provide its...

In astrophysical (inverse) regression problems it is an important task to decide whether a given parametric model describes the observational data sufficiently well or whether a non-parametric modelling becomes necessary. However, in contrast to common practice this cannot be decided by solely comparing the quality of fit due to possible over-fitting by the non-parametric method. Therefore, in ...

in the present study an attempt has been made to use a non-parametric method data envelopment analysis (dea) for assessing source-wise and operation-wise the technical efficiency (te) and return-to-scale (rts) for paddy production in four zones of the state of punjab, india. the results were then compared to corresponding ones already obtained from a parametric method (cobb-douglas production f...

This article presents two methods of testing the hypothesis of equality of two functions H(0):f(1)(t)=f(2)(t) for all t, in a generalized non-parametric regression framework using a recently developed generalized non-parametric regression method called Bayesian adaptive regression splines (BARS). Of particular interest is the special case of testing equality of two Poisson process intensity fun...

The purpose of this paper is to show the capacity of a new non-parametric test based on symbolic entropy and symbolic dynamics to deal with the detection of linear and non-linear spatial causality. The good performance of the new test in detecting spatial causality and causal weighting matrix is notable and gives rise to an expectation that it may form a adequate tool for constructive specifica...

BACKGROUND Learning environment in any medical school is found to be important in determining students' academic success. This study was undertaken to compare the perceptions of first year and clinical phase students regarding the learning environment at Melaka Manipal Medical College (MMMC) (Manipal Campus) and also to identify the gender wise differences in their perceptions. METHODS In the...

In classical analysis of variance, dispersion is measured by considering squared distances of sample elements from the sample mean. We consider a measure of dispersion for univariate or multivariate response based on all pairwise distances between-sample elements, and derive an analogous distance components (DISCO) decomposition for powers of distance in (0,2]. The ANOVA F statistic is obtained...

Abstract Grouped data in the form of income shares have conventionally been used to estimate inequality due lack individual records. We present a systematic evaluation performance parametric distributions and non-parametric techniques economic using more than 3300 sets. also provide guidance on choice between these two approaches their estimation, for which we develop GB2group R package. Our re...