Non-parametric analysis
Injury Severity among Young Drivers: A combination of Parametric and Non-parametric Analysis
... Young drivers among the group recorded highest fatalities index in road traffic crashes. The objective of this study was to identify factors affecting injury severity of young drivers using 5-years crash data (2008- ...
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Parametric and non-parametric analysis of tax changes
... Despite the magnitude of our data set we need to acknowledge several limitations. Specif- ically, while our data set includes complete location descriptors for each sale and a descriptor on land use code which identifies ...
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Gibrat’s law and legacy for non-profit organisations: a non-parametric analysis
... A non-parametric approach to the analysis is preferred to the standard parametric methods to testing Gibrat’s Law as consistent parametric estimation of the key parameters is difficult ...
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Efficiency in Northern Ireland hospitals: a non parametric analysis
... The paper employs the non-parametric approach of Färe et al. (1994) which utilises the observed inputs and outputs to construct the best practice reference units as a convex hull in input output space ...
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Productivity Improvement in Sugarcane Farming in Tamil Nadu (India): Parametric and Non-Parametric Analysis.
... applied non-parametric and parametric models to a sample of panel data of sugarcane production for the period of ...both parametric and non-parametric ...comparative ...
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A non parametric analysis of the efficiency of the top European football clubs
... Korai 43, 38333, Volos, Greece Abstract This paper analyses how European football clubs’ current value and debt levels influence their performance. The Simar and Wilson (J Econometrics, 136: 31–64, 2007) procedure is ...
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Farmers’ willingness to switch to organic agriculture: A non-parametric analysis
... DISCUSSION AND CONCLUSION We used a contingent valuation method in order to survey 200 Korean farmers about their willingness to switch to organic farming techniques. We selected the area of Kwangsi-myeon, Yesan-gun, ...
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Non-parametric counterfactual analysis in dynamic general equilibrium
... In fact, there is a one-to-one relation between the equilibrium correspondence in this model and the equilibrium correspondence of a standard static Arrow-Debreu ex- change economy with additively separable utility. We ...
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Non-parametric counterfactual analysis in dynamic general equilibrium
... 1 Introduction This paper investigates how equilibrium prices change as profiles of endowments change in a dynamic asset pricing model with heterogeneous agents. In this model all competitive equi- libria are stationary ...
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Efficiency and Bank Merger in Singapore: A Joint Estimation of Non Parametric, Parametric and Financial Ratios Analysis
... a non- parametric approach to examine the production performance and cost structure of a sample of 10 fully licensed Singaporean commercial banks during the period 1991 to ...the ...
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Business Demography Dynamics in Portugal: A Non-Parametric Survival Analysis
... 4. Non-parametric analysis of survival This next section consists of an econometric analysis of new firm survival that draws extensively on the survival analysis literature in ...
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Comparison of reliability techniques of parametric and non-parametric method
... by non-parametric methods ...In Non-parametric methods the failure data are analysed without as- suming any particular ...distribution. Non-parametric methods are much simpler ...
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A non parametric ACD model
... The non parametric specification of the ACD model encompasses most of the parametric forms so far introduced to study high frequency transaction data, the only exception being constituted by the ...
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Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data
... Background: It has generally been argued that parametric statistics should not be applied to data with non-normal distributions. Empirical research has demonstrated that Mann-Whitney ge[r] ...
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On Parametric (and Non-Parametric) Variation
... The theory of PV hypothesizes that the range of choices is ‘antecedently known’, and this basic property correlates with a number of others which distinguish PV from non-parametric variation, and allow us ...
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Semi- and non-parametric flood frequency analysis
... The analysis of trends in hydrological time series is motivated by a changing climate and by anthropogenic interference with nature, for instance, the dynamic process of urban- ization during the past ...the ...
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Efficiency Analysis of German Electricity Distribution Utilities : Non-Parametric and Parametric Tests
... envelopment analysis (DEA) and stochastic frontier analysis (SFA) are the most commonly used methods in the literature on benchmarking and efficiency analysis in the electricity ...data ...
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Efficiency Analysis of German Electricity Distribution Utilities - Non-Parametric and Parametric Tests
... efficiency analysis to the electricity distribution sector in ...DEA analysis, we have performed SFA distance function estimations, and find relatively high correlations between the two ...
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Analysis of Questionnaires and Qualitative Data Non-parametric Tests
... • A non-parametric statistical hypothesis test used when comparing two related samples (paired). • The test is named for Frank Wilcoxon (1892–1965) who, in a single paper, proposed bot[r] ...
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Semi and non semi parametric models for reliability analysis
... DISCUSSION Modelling the survival data for prognostic factors in cancer research is on the rise recently in India (Swaminathan, 2002). The main reason is the paucity of follow up information, which is so vital in ...
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