nonparametric tests
Temporal and spatial homogeneity in air pollutants panel EKC estimations: Two nonparametric tests applied to Spanish provinces
... poolability tests robust to functional misspecifica- tion are ...pooled nonparametric regressions give rise to U-inverted income-pollution ...and nonparametric tests reject overwhelmingly the ...
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Nonparametric Tests
... of nonparametric methods according to “mann ...parametric tests cannot be used and they do not require that the population being sampled is normally ...with nonparametric tests is that they ...
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Computational Inefficiency Of Nonparametric Tests For Consistency Of Data With Household Consumption
... Proof. The proof is immediate from Definition 2. Since the situation dependent dic- tatorship model is consistent with K decision makers the sufficiency is immediately established from Proposition S4 in Cherchye et al. ...
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Validation of drop plate technique for bacterial enumeration by parametric and nonparametric tests
... Nonparametric analysis. Most data did not follow the normal distribution. Therefore, nonparametric tests were preferred to exploit. Mann-Whitney is the nonparametric analog of unpaired t-test. ...
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One-sided and two-sided nonparametric tests for heterogeneity comparisons
... In section 2 we show some of the contributions in the literature in which het- erogeneity is dealt with from the descriptive point of view. We list the main pro- posed indicators of heterogeneity and describe some of ...
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Nonparametric Tests For Bias In Estimates And Forecasts
... T h e mean algebraic percentage error MALPE can be used as the basis of a test for mean bias since the distribution of a function of MALPE is shown t o be asymptotically normal.. MALPE i[r] ...
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Consistent Nonparametric Tests of Independence
... of tests are provided. Distribution- free strong consistent tests are derived on the basis of large deviation bounds on the test statistics: these tests make almost surely no Type I or Type II error ...
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Validation of the ELORS Scale and Its Application to Detect Learning Deficiency in Childhood
... The nonparametric tests to evaluate the null hypothesis concerning questions of the areas, with results using Kruskal-Wallis test for independent samples and the age-related difference b[r] ...
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Statistical Methods for Analysis of Multi-Sample Copy Number Variants and ChIP-seq Data
... proposed tests in Chapters 3 and 4 relies rather critically on the fact that the p-values are uniformly distributed in (0,1) under the null hypothesis of no differential ...the tests are based can be ...
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Stereotactic Comparison among Cerebral Blood Volume, Methionine Uptake, and Histopathology in Brain Glioma
... tures, nonparametric tests were used as follows: to compare CBV and MET uptake ratios with tissue infiltration by tumor cells, Kruskal- Wallis and Post Hoc tests were used; to compare CBV and MET up- ...
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Spindler, Martin (2012): Essays in econometrics. Dissertation, LMU München: Volkswirtschaftliche Fakultät
... and nonparametric methods to test this. Their nonparametric tests are restricted to discrete data with only two categories per variable even though some of the variables in the data set are ...
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Using Multivariable Linear Regression Technique for Modeling Productivity Construction in Iraq
... Various statistical analysis methods, including descriptive statistics, correlation, and nonparametric tests, were also used for modeling throughout the research; 4 Developed Model: Base[r] ...
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SPSS Vs 23 Tutorial, 2019. Dr. Rosa Padilla.doc
... Nonparametric tests are sometimes called distribution-free tests because they are based on fewer assumptions ...Parametric tests involve specific probability distributions ...the tests ...
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Serial whole brain magnetization transfer imaging in patients with relapsing remitting multiple sclerosis at baseline and during treatment with interferon beta 1b
... following nonparametric tests: the Spearman rank correlation coefficient (SRCC) was used to compare MR imaging and clinical data (EDSS score, age, disease duration); the Mann-Whitney rank sum test was used ...
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Parametric and nonparametric two-sample tests for feature screening in class comparison: a simulation study
... the nonparametric tests, exact p-values have been computed for the KS test, while for the WMW, PG2, Cucconi, CvM and AD tests we report the asymptotic ...
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Overview of NonParametric Combination-based permutation tests for Multivariate multi-sample problems
... term nonparametric test we usually refer to an hy- pothesis testing procedure that has certainly desirable properties that hold under relative mild assumptions regarding the underlying populations from which the ...
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Comparative outcome analysis of home-initiated non-medical interventions among toddlers with orally ingested substances
... collection as per the agreement with the IRB and ED personnel. The data extracted was approached statisti- cally using the more suitable nonparametric tests, yet a larger sample size might have powered the ...
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New Nonparametric Rank Based Tests for Paired Data
... used nonparametric test for paired data when at least one of the assumptions is not ...a nonparametric statistical test for assessing whether the two independent samples are from the same ...other ...
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Predictors of quality of life of patients with type 2 diabetes
... using nonparametric tests (Mann- Whitney U test or Kruskal-Wallis ...test). Nonparametric tests were used because the subscales of SF-36 were not normally ...
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A Simple Chi Square Statistic for Testing Homogeneity of Zero Inflated Distributions
... Zero-inflated distributions arise under a variety of circumstances. For example, some laboratory procedures may be unable to detect values below a certain threshold and, by default, are recorded as zero, the lowest ...
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