Parametric and non-parametric methods
Non Parametric methods: An application for the risk measurement
... In this document we analyze two methods: the parametric and non-parametric methods. The former relies on the strong assumption that we know a priori what functional form is appropriated ...
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Parametric methods outperformed non-parametric methods in comparisons of discrete numerical variables
... statistical methods for con- tinuous ...data. Non-parametric methods – which were outperformed by their parametric counterparts in our study–were the most commonly used statistical ...
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Comparison of non-parametric methods for ungrouping coarsely aggregated data
... [9–11]. Parametric models for ungrouping are developed for particular applications and based on parametric assumptions for the underlying distributions, ...on non-parametric methods ...
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Statistical Parametric and Non Parametric Methods of Determining the Reliability of Mechanical Components EUR 4282
... sample data. b) It performs the fitting by the least-squares method (minimizing the deviations of the measured variable) and then determines an estimate of the parameters of each distr[r] ...
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Evaluation of finger millet genotypes for stability using parametric and non-parametric methods in India
... These parametric stability measures along with s 2 were also in total correspondence with nonparametric stability measures Si (1) and Si (2) ...compromise methods to select genotypes with high ...
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Skewed Data and Non-parametric Methods
... If assumptions of t-test violated, transform data so that t-test can be applied to transformed data.. Taking logs of the data is often useful for data that are >0 because:.[r] ...
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Essays on semi-/non-parametric methods in econometrics
... ing parametric copulas; Bierens (2008) applies it to the mixed proportional hazard model; Hu and Schennach (2008) and Chen et ...with non-classical measurement ...
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Non-parametric methods for circular-circular and circular-linear
... is non-parametric in all its stages. We use a non-parametric estimation of the distribution function as the linear distribution and the circular Bernstein polynomial for the circular ...
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Non parametric methods under cross sectional dependence
... conditions in terms of economic distance between agents, under a suitable stationarity assumption. An alternative mixing condition in spatial setting was proposed in Pinkse, Shen and Slade (2007). Robinson (2011) has ...
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Comparison of reliability techniques of parametric and non-parametric method
... is Parametric method and Non-Parametric ...for Parametric and Non-Parametric methods to identify the failure ...for parametric method; Kaplan–Meier and Simple ...
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EEG feature extraction using parametric and non parametric models
... on parametric and non parametric methods for EEG feature extraction and ...all methods. Our findings indicate that parametric method does not provide good performance for EEG ...
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A Comparison of Selected Parametric and Non Parametric Imputation Methods for Estimating Forest Biomass and Basal Area
... two non-parametric methods for estimating the amount of standing tree biomass and basal area at a pixel level, across the a site on the Malheur National Forest, in Eastern Oregon, US: Gradient ...
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The Use of Parametric and Non Parametric Frontier Methods to Measure the Productive Efficiency in the Industrial Sector. A Comparative Study
... and non-parametric methods have monopolised the recent literature on productive efficiency ...different methods in ranking productive units allows us to make an comparative analysis of ...
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Comparison of parametric and non-parametric time-series analysis methods on a long-term meteorological data set
... analysis methods, such as moving average, deterministic methods (linear trend with seasonality), and non-parametric Mann – Kendall trend test, were applied to monthly precipitation data from ...
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Testing the Optimality of Two Different Non-Parametric Discriminant Methods
... two methods allow the extension of univariate concepts to the field of multivariate ...of non-parametric methods to be used in multivariate data ...
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Parametric and non-parametric statistical methods for the life sciences - Session I
... nonparametric methods What test to use ? Rank Tests Two independent samples More then two independent samples Two dependent samples More then two dependent samples Ordered hypotheses More Than Two Independent ...
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Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods
... identification methods have been used to identify soil- foundation-superstructure (SFS) ...analysis methods to determine the dynamic characteristics of the SFS system with a box ...
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Comparison of Parametric and Non-Parametric Operational Modal Analysis Methods on Crack Aluminum Beam
... Analysis methods (OMA) such as Frequency Domain Decomposition (FDD), Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (Time parameterization technique) are applied to evaluate ...
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Parametric and Bayesian non-parametric estimation of copulas.
... with a vector parameter a natural extension is to find as many moments of the pseudosample as needed and then solve the corresponding system of equations. We now present an alternative estimation method which is also ...
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Parametric and non-parametric analysis of tax changes
... used parametric and nonparametric methods to estimate a hedonic price model describing the behaviour of house prices in Melbourne, Australia over the period ...estimation methods have been shown to ...
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