non-parametric tests

non-parametric tests

An “alternative” set of statistical techniques for analysing numerical data that make no assumptions about the underlying distribution (for example, the normality of the data).

non-parametric tests

statistical tests, e.g. chi-squared and Wilcoxon tests, that analyse for difference, within subgroups of non-normally distributed data
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Non-parametric tests such as Mann-Whitney U test, Wilcoxon Signed Ranks test, Kruskal-Wallis H test and Spearman's Rank Order correlation are performed and interpreted in session 21.
In sections on statistical modeling, computer modeling, and mathematical and other models, they discuss such topics as the role of structural equation modeling in theory testing and development, artificial neural networks and structural equation modeling to evaluate business customer loyalty, non-parametric tests with fuzzy data and its applications in the performance evaluation of customer capital, assessing the perception of superstitious numbers and its effect on purchasing intentions, and clique communities in social networks.
128 Kolmogorov-Smirnov Non-Parametric Tests One-Sample Test Full Sample 7.
The paper proposes several flexible, non-parametric tests of information efficiency that have not been used before in this literature to generate new insights into this line of research.
A sampling of topics includes: the SAS environment, exploring data with graphs, logistic regression, non-parametric tests, and multilevel linear models.
Secondly, the changes in the efficiency of Indian banking sector during the pre merger and post merger period is obtained by using a series of parametric and non-parametric tests.
Non-parametric tests revealed that intra-population variation in great-call structure varied significantly (P< 0.
Authors have used the parametric as well as non-parametric tests to study the twenty markets around the world.
Non-parametric tests used in event studies do not require the stringent assumptions concerning return distributions as does parametric tests.
This set of four statements includes all the types of non-parametric tests covered in the QM 362 course.

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