Non-parametric STP analysis of litterfall sample
Parametric and non-parametric analysis of tax changes
... As expected, interest rates are found to be negatively related to price (interest elasticity of -0.003, compared to -0.04 in Abelson et al.). The parameter estimates on the time variables reflect the property market ...
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Semi- and non-parametric flood frequency analysis
... classical analysis of variance (ANOVA) statistic W = γ ˆ − 2 ∑ d j = 1 k j ( H ( j ) − w 0 H ) 2 , with γ j interpreted as the approximate population mean of log-transformed peaks divided by the ...
121
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 ...out-of- ...
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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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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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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 ...
11
ANALYSIS OF TIED DATA: AN ALTERNATIVE NON-PARAMETRIC APPROACH
... This paper presents a non-parametric statistical method of analyzing two-sample data that makes provision for the possibility of ties in the data. A test statistic is developed and shown to be free ...
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Efficiency analysis of public higher education institutions in Turkey with parametric and non-parametric approaches
... the sample of large-size universities is narrower than medium and small size universities, this conclusion would not be that much helpful without a full-fledged analysis on the determinants of ...
260
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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Efficiency and Bank Merger in Singapore: A Joint Estimation of Non Parametric, Parametric and Financial Ratios Analysis
... our sample, DBS, exhibits significant improvement in its mean overall efficiency as the bank has been operating at CRS post-merger while UOB has been able to maintain to operate at CRS ...of non-competitive ...
34
Non-Parametric Spatial Models
... of parametric covariance functions guarantee that the fitted covariance function is positive ...two non-parametric approaches to modelling the covariance ...data analysis in recent years. ...
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A Two-Sample Non-Parametric Likelihood Ratio Test
... single sample goodness of fit case, a particular weighting function might deliver high power against certain alternatives, but only at the expense of power against other ...
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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] ...
12
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 ...
12
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- ...
11
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] ...
81
Non-parametric counterfactual analysis in dynamic general equilibrium
... exact parametric specification of preferences and, from a theoretical viewpoint, it might appear that without any assumptions on preferences almost any counterfactual analysis could be ...out ...
20
Non-parametric counterfactual analysis in dynamic general equilibrium
... exact parametric specification of preferences and, from a theoretical viewpoint, it might appear that without any assumptions on preferences almost any counterfactual analysis could be ...out ...
21
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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