Kolmogorov-Smirnov (K-S)
Leakage Detection with Kolmogorov-Smirnov Test
... paper). Kolmogorov-Smirnov test is a well-known nonparametric method for statistical analysis to determine whether the samples are from the same distribution by analyzing the cumulative ...
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Sequential detection of influenza epidemics by the Kolmogorov-Smirnov test
... by Kolmogorov-Smirnov test on the absolute difference between the empirical and the cumulative density function of the estimated exponential distribution with significance level 0 ≤ α ≤ ...
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Dynamic Spectrum Access on OFDM Based Wireless Emergency Communications: Kolmogorov-Smirnov Test Based Sensing
... ABSTRACT: Current emergency communications services basically rely on public networks. However, these networks may fail in extreme situations, so emergency services become unreliable in emergency cases. The cognitive ...
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Comparison of Bootstrap-Estimated and Half Sample- Estimated Kolmogorov-Smirnov Test Statistics
... A Bootstrap Kolmogorov-Smirnov Test for Normality program was created that test if a sample of size n is coming from a normal distribution. The sample size of the input data for this program is limited to ...
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A modified Kolmogorov Smirnov test for normality
... Many data analysis methods (t-test, ANOVA, regression) depend on the assumption that data were sampled from a normal distribution. One of the most frequently used test to evaluate how far data are from normality is the ...
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Computing the Kolmogorov-Smirnov Distribution when the Underlying cdf is Purely Discrete, Mixed or Continuous
... Computing the cdf of Dn when F x is continuous: numerical analysis and comparisons In this appendix, we compute the values of the cdf PDn ≤ q for different n and q using the Exact-KS-FFT[r] ...
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An Investigation into the Structure of Polymer Brushes using Degrafting as a Strategy.
... The experimental data were fitted using the Kolmogorov-Smirnov (K-S) method to distributions featuring the models of Schulz-Zimm (red), ATRP (green), Wesslau (blue),[r] ...
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A new transformed Weibull lifetime distribution and its inferences based on the Bayes and maximum likelihood procedures
... parameters, Kolmogorov-Smirnov (K-S) distance between the empirical distribution and the fitted model, its corresponding p-value, log-likelihood and Akaike information criterion (AIC) for the real data ...
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The similarity of light curves of Fermi Blazars
... Abstract: Blazars show rapid and high amplitude variability. In this work , Fermi daily light curve of 130 sources are analyzed, distribution of daily variability are compared with each other by using ...
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Diagnosing problems with imputation models using the Kolmogorov-Smirnov test: a simulation study
... In both the LSAC application and the simulation study, we performed 20 imputations and summarized the multiple p-values using medians (using medians due to the highly skewed nature of th[r] ...
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EFFECT OF KEGEL EXERCISE ON WOUND HEALING INDEX AFTER COLORECTAL SURGERY
... The most important complications after colorectal surgery is delayed wound healing which use of nonpharmacologic methods to reduce the complications has been considered by researchers. This study was conducted aiming at ...
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Magnetisation transfer as a biomarker for chronic airway fibrosis in a mouse lung transplantation model
... the Kolmogorov– Smirnov test was applied to test for ...using Kolmogorov–Smirnov test, Student’s t-test was performed for all flip angles and off- resonance frequencies for the following ...
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A Study of the Possibility of Adopting Performance-Based Budgeting inIran's Center for Technology Cooperation Using Shah's Model
... The present research identified the factors that influence the adoption of performance-based budgeting (PBB). A 38-item questionnaire was used for data collection, which was distributed among 30 managers, assistants, and ...
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Quality of life profile of general Vietnamese population using EQ-5D-5L
... Data analysis was performed using Stata version 12.0 (Stata Corp. LP, College Station, United States of Amer- ica). We described the socio-economic status, EQ-5D- 5 L profiles, utility score and VAS scores according to ...
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Global baselines and benchmarks for fish biomass: comparing remote reefs and fisheries closures
... KS: Kolmogorov-Smirnov values as test of normality a Total biomass kg ha−1 statistics of sites in the tropics, subtropics, remote reef areas and high-compliance fisheries closures All si[r] ...
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Asymptotic Pitman's Relative Efficiency
... the Kolmogorov-Smirnov test with respect to the Neyman test and lo- cally most powerful rank test; Rothe (1983) obtained a lower bound for the Pitman ef- ficiency of Friedman type tests; for the group of ...
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Comparison of power of modified Jarque-Bera normality tests and selected tests of normality
... (Kolmogorov- Smirnov) test (L(KS)), the Anderson-Darling test (AD), the Cramer-von Mises test (CM), the Pearson chi-square test (PT), the directed SJ test (SJ), the D`Agostino test (DT), the Jarque-Bera ...
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Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis
... Abstract When dealing with classical spike train analysis, the practitioner often per- forms goodness-of-fit tests to test whether the observed process is a Poisson process, for instance, or if it obeys another type of ...
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Organizational Accessibility and Community Connections: Examining Changes in the Spatial Proximity of Pubic Housing Residents to Social Service Providers and Providers' Responses to Redevelopment
... with Kolmogorov-Smirnov Test and Wilcoxon Rank Sum Test to the real data, we carry a simulation study to investigate the power of the test near the estimated parameter ...
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Compliance Complexity and Tax Compliance for Individuals in Pre and Post M-filing Implementation in Malaysia
... For testing the study’s hypotheses, the result in Table 3 revealed that there is no significant statistical difference in tax compliance under Pre and Post m-filing implementation in Malaysia (Kolmogorov- ...
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