nonparametric


Also found in: Dictionary, Thesaurus, Wikipedia.
Related to nonparametric: Nonparametric Methods

non·par·a·met·ric

(non'par-ă-met'rik),
A group of statistical maneuvers that can be applied effectively to nonnormal or nongaussian data that is nonnormal or nongaussian in distribution.
Farlex Partner Medical Dictionary © Farlex 2012

non·par·a·met·ric

(non-par'ă-met'rik)
A group of statistical maneuvers that can be applied effectively to data that are nonnormal or nongaussian in distribution.
Medical Dictionary for the Health Professions and Nursing © Farlex 2012
Mentioned in ?
References in periodicals archive ?
Nonparametric statistics are used in many situations to analyze data, and there are many different types of statistics for different types of data.
Chi-Square Test
Tiemey (2012) found that the nonparametric exclusion-from-core inflation persistence model was able to utilize data revisions, which were small in magnitude.
Forecasting with the Nonparametric Exclusion-from-Core Inflation Persistence Model Using Real-Time Data
The purpose of this study is to obtain a new method for the determination of hypothesis test of model conformity between multivariate nonparametric truncated spline regression influenced by spatial heterogeneity versus multivariate nonparametric truncated spline regression in general.
A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application
The nonparametric method underestimated the probability of interest in 51/54 scenarios, but the mean bias was low in general, ranging across scenarios from -0.062 to 0.001 (median: -0.006).
Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
Roughly speaking, a nonparametric procedure is a statistical procedure that has certain desirable properties.
Parametric Versus Nonparametric Statistical Process Control
Furthermore, addition and deletion of one or a few observations is not as likely to cause great variation in the estimates as many of the nonparametric methods have recently been compared by others (Sabaghnia et al., 2006; Mohammadi et al., 2007a, 2007b, Farshadfar et al., 2012).
EVALUATION OF PHENOTYPIC STABILITY IN BREAD WHEAT ACCESSIONS USING PARAMETRIC AND NON-PARAMETRIC METHODS
We begin with a general definition of data mining and explain how nonparametric data mining differs from the parametric method currently utilized by DoD cost estimators.
An investigation of nonparametric data mining techniques for acquisition cost estimating
The K-NN resample approach was firstly utilized by [17] to develop a nonparametric disaggregation method.
Disaggregation of Annual to Monthly Streamflow: A Case Study of Kizilirmak Basin (Turkey)
The objective of the present study is to develop an appropriate statistical model to fit the trends and to calculate growth rates in area, production and productivity of cotton crop grown in Ahmedabad region of Gujarat state based on both parametric (Linear, non-linear and time-series) and nonparametric regression models.
Statistical modeling on area, production and productivity of cotton (Gossypium spp.) crop for Ahmedabad Region of Gujarat State
To avoid a distributional and/or functional form specification error, we estimate the conditional density directly using nonparametric methods.
On the determinants of educational corruption: the case of Ukraine
The power issue arises because the variation in the nonparametric CoVaR and MES estimators increases as the asymptotic tail dependence in stock returns strengthens.
Testing for systemic risk using stock returns

Medical browser ?
Full browser ?