MULTIPLE COMPARISONS USING FRIEDMAN TEST ON MAXIMUM
Multiple Comparisons Using R
... INTRODUCTION 7 Assume, for example, an experiment, where we investigate m treatments. If at the final analysis we select the “best” treatment based on the observed re- sults, then the associated na¨ıve treatment estimate ...
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CiteSeerX — Multiple Comparisons
... shower maximum is, for showers of the same energy, roughly independent of the kind of the primary ...that multiple coulomb scattering plays a distinct and more pronounced role in the development of the real ...
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Simultaneous multiple comparisons with a control using median differences and permutation tests
... procedures for all scenarios. In the cases where it is expected that only one treatment is clearly better than the control, MED is the preferred choice to detect the superior treatment, especially for symmetric, ...
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Nonparametric Predictive Inference for Multiple Comparisons
... Example 4.1. We use a data set from Desu and Raghavarao [33, p. 263], represent- ing the recorded times (months) until promotion at a large company, for 19 employ- ees in k = 3 departments, which we refer to as ‘groups’ ...
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Nonparametric Pairwise Multiple Comparisons in Independent Groups Using Dunn s Test
... omnibus test is re- jected, the question becomes, Which of these groups is different from which? If one used an ANOVA to test for mean difference, upon rejection of the null hypothesis, one would make ...
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Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test
... An exploratory pilot study of this type has some limita- tions. Only Kinect-derived skeletal tracking information generated by the SDK was used [19]. Although not within the scope of the present study, it is conceivable ...
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Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test
... We used custom-built software running on a Windows 8 (Microsoft Corp., Redmond, WA, USA) computer with Kinect Software Development Kit (SDK) version 1.7. A Microsoft Kinect sensor was attached to a fixed pole, thereby ...
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CiteSeerX — On multiple comparisons
... The comparisons themselves are not restricted to balanced or simple ...general multiple comparisons, thus allowing for covariates, nested effects, correlated means, likelihood-based esti- mates, and ...
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If not multiple comparisons, then what?
... to test their main effects and interaction (such an experiment uses a fully crossed two-way ...to test the difference between the mean for cultivar C1 using growth promoter GP1 and the mean for ...
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Distributions of Maximum Likelihood Estimators and Model Comparisons
... Both AIC and TIC provide rational ways to compare nested or non-nested models of various degrees of com- plexity - with a balance between the log likelihood and the number of parameters as a guard against over fit- ting. ...
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Implementing Multiple Comparisons on Pearson Chi-square Test for an R C Contingency Table in SAS
... Tukey-type multiple comparison method for one-way analysis of ...performed using the FREQ procedure with /CHISQ or /Pearson ...of using Pearson’s Chi-squared test for testing against the null ...
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CHAPTER 12 MULTIPLE COMPARISONS AMONG
... mean, using the more conservative Bonferroni t test we are no longer able to reject that ...the test; it is in the critical value we choose to ...
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An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons
... establish comparisons based on them, without taking into account significance ...Nemenyi test for making all pairwise comparisons (Nemenyi, ...Nemenyi test is very conservative and it may not ...
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Statistical Comparisons of Classifiers over Multiple Data Sets
... Unfortunately, ANOVA is based on assumptions which are most probably violated when ana- lyzing the performance of machine learning algorithms. First, ANOVA assumes that the samples are drawn from normal distributions. In ...
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Comparisons of ten corrections methods for t-test in multiple comparisons via Monte Carlo study
... 2018 Multiple comparisons of treatments means are common in several fields of ...in multiple comparisons, however the p-values associated with it are inac- curate, since there is no control on ...
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CiteSeerX — Multiple Comparisons
... DATES, TIMES, TIME INTERVALS, AND SEQUENCES 22 In many data analysis applications, some aspect of the data is related to dates and/or times of the day. For instance, most economic data are related to the calendar, and ...
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EPS 625 INTERMEDIATE STATISTICS FRIEDMAN TEST
... The Friedman test is an extension of the Wilcoxon ...Wilcoxon test can be applied to repeated-measures data if participants are assessed on two occasions or conditions or matched- subjects data if ...
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Multiple comparisons: problem and solutions
... Depends on type of test, dimension and threshold Number peaks= intrinsic volume * peak density. At high threshold,[r] ...
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CiteSeerX — Multiple Comparisons Among Means
... Stable URL: http://www.jstor.org/stable/2282330 Accessed: 06/07/2010 05:39 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at ...
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The Bonferonni and Šidák Corrections for Multiple Comparisons
... This is a consequence of the logic of hypothesis testing: We reject the null hypothesis if we witness a rare event. But the larger the number of tests, the easier it is to find rare events and therefore the easier it is ...
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