Questions tagged [nonparametric]
Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
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Non-parametric regression
I am conducting a mulitple first order regression analysis of genetic data. The vectors of y-values do not all follow a normal distribution, therefore I need to implement a non-parametric regression ...
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Nonparametric sign test for correlated variables
I have a question regarding the sign test when the individual measurements may be correlated. Let me start off with some background. Suppose we have 4 Organisms (a,b,c,d),and we make measurements in ...
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Is there an unpaired version of the sign test?
I wasn't able to find one on Google, and was wondering if one exists...
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Parametric sample size calculation and non-parametric analysis
I'm curious to know if anyone has a specific reference (text or journal article) to support the common practice in the medical literature of performing sample size calculation using methods that are ...
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Alternative to the Wilcoxon test when the distribution isn't continuous?
One of the assumptions for using the Wilcoxon sign-rank test is that the underlying distribution is continuous (see here.)
However, there are cases (for example, when analyzing Likert scale data) ...
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Effect size of McNemar's Test
I'm using McNemar's test. Basically this question is about best practices when reporting results using McNemar's test.
I want to report the effect size. What is a sensible effect size for McNemar's ...
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Help me understand nMDS algorithm
I have been reading Zuur, Ieno and Smith (2007) Analyzing ecological data, and on page 262, they try to explain how nMDS (non-metric multidimensional scaling) algorithm works. As my background is in ...
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Robust nonparametric estimation of hazard/survival functions based on low count data
We're trying to use a Gaussian process to model h(t) -- the hazard function -- for a very small initial population, and then fit that using the available data. While this gives us nice plots for ...
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How to explain such a big difference between parametric and non parametric test (and other questions)?
I am advising a small medical study (two groups, treatment is a dummy variable), i.e. a 2x2 contingency table. I'm comparing the value of the Pearson's $\chi^2$ test and a non parametric competitor ...
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What software allows non-parametric repeated-measures multi-way Anova? [duplicate]
A previous user asked this question specifically for R. I'd like to know what, if any, other software can do this.
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Wald-Wolfowitz Runs Test for Normality Assumptions Testing
Some guys told me that it's appropriate to use Wald-Wolfowitz Runs Test as a normality test (like Shapiro-Wilk's or Kolmogorov-Smirnov...). Do you think this is good way to test normality assumptions?
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