Non parametric methods
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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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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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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Assessment of Drought Effects on Forests using Non-Parametric Methods and Satellite Imagery
... using Non- Parametric Methods and Satellite Imagery S IMON K ÖNIG 1 , J OHANNES S CHULTZ 1,2 , O LENA D UBOVYK 1,3 & F RANK T HONFELD 4,5 Abstract: Temperate forests are a vital part of the natural ...
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Non-parametric Methods for Soil Moisture Retrieval from Satellite Remote Sensing Data
... moisture, non-parametric methods like neural networks and fuzzy logic were used to empirically ascertain the statistical relationship between soil moisture and backscatter in the presence of surface ...
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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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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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Non parametric methods to assess the role of the CAP in regional convergence in Hungary
... Thus, in order to overcome such methodological and con- ceptual limits, we chose to apply a non-parametric approach. Since the beginning of the 1990s, the endogenous growth school has developed new, ...
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Non parametric methods applied in the efficiency analysis of European structural funding in Romania
... various non- profit organizations, such as educational and medical institutions, which were highly resistant to traditional performance measurement techniques due to the complex and often unknown relations of ...
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Non parametric Methods for Automatic Exposure Control, Radiometric Calibration and Dynamic Range Compression
... of methods widely cited in literature as well as alter- natives available commercially (Fattal et ...the methods under ...other methods in ...
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Using Non-parametric Methods in Econometric Production Analysis: An Application to Polish Family Farms
... the non-parametric approach to regression analysis does not require the specification of the functional relationship between the explanatory variables and the dependent ...a non-parametric ...
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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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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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Bayesian Non/Semi-Parametric Methods for Latent Growth Mixture Models
... Bayesian non-parametric methods with the traditional ...Bayesian non-parametric methods for LGMMs, as well as a discussion of ...
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