# 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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### How to find the difference between two set of scores of a single participant?

What I am trying to do? I have a data set which consists of only one undergraduate student's all courses scores. Let's assume, he has completed about 70 courses where 40 courses are related to ...
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### Comparison of medians

I`m currently an Intern and one of my tasks is to asses whether certain variables were optimal for a control system. In total there are four variables which can vary, and to avoid a complicated ...
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### p value is not significant but plot shows clear trend line [closed]

x variable is density, y variable is PMI. The dataset below is just an example. (Data is not normally distributed, sample size 124, Spearmans rho 0.1877085 (PMI~den), Kruskal-Wallis rank sum test p-...
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### How to prove a multivariate r.v. does not follow the nonparanormal distribution?

Background You may find the definition of the non-paranormal distribution at the 2nd paragraph in p.2296 of this paper. In short, $(X_1, \ldots, X_p)$ is non-paranormal if there exists a set of ...
118 views

### Transforming non-normal to normal distribution and back-transform

I would like to transform non-normal distribution to normal distribution, and back-transform to its original state (or at least close to the original state). From this article, I've read that you can ...
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### Testing for interactions using the aligned rank transformation test (non-parametric two-way ANOVA)

I am completing an aligned rank transformation as follows, using the ARTool package: ...
1k views

### Comparing effect sizes across different data sets with non-normal data

I want to conduct a comparative analysis across a large amount of studies by looking at the effect sizes of their results with another variable. I am not too familiar with effect sizes so I'd ...
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### Proof by contradiction with empirical KL divergence and proportional hazards model

I am trying to replicate an existence proof for the cumulative baseline hazard function used for the proportional odds model in Kosorok's "Introduction to Empirical Processes and Semiparametric ...
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### Creating groups from an extremely positively skewed population (further explanation + image in text)

Obligatory caveat: Stats neophyte, R neophyte, trying to learn more. I have daily traffic data for 3k URLs for the entirety of 2016. There is a broad cyclical seasonal trend that the majority of them ...
I am confused about the estimation of conditional probabilities. Suppose I want to predict a binary outcome variable $Y = 0,1$ given $n$ categorical features $X = (X_1, \ldots, X_n)$, i.e. to ...