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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Statistical testing for bimodal/multimodal sample
I am looking to see what is the best statistical test to test whether a bimodal/multimodal sample is significantly different from a value.
I am making a device that deviate a certain result away from ...
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ANOVA vs LM for non-parametric data using R [closed]
Sorry in advance for the long question - I have been trying to wrap my head around what to do about my data analysis for a couple of weeks now and could really do with some help. I have two parts to ...
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Wilcoxon signed one sample test and asymmetry
Hi i would like to prove that wilcoxon signed rank (one sample) statistics measure asymmetry. The setup of Wilcoxon test is given a sample from a distribution $X_1,\dots, X_n$ and given a fixed value ...
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Statistical test to compare slopes from partially overlapping samples
Does anyone have any suggestions for how I could compare slopes derived from partially overlapping samples?
I am attempting to compare trends (i.e., slopes) in changes in vaccination rates over time. ...
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Modeling Data Using a Hybrid Parametric and Non-Parametric Approach
I'm trying model a multivariate dataset using a hybrid of a Gaussian process and a parametric model.
My dataset is a function of two variables, $m$ and $p$. I expect that the $m$-dependence is well ...
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Power analysis based on non-parametric exploratory analysis
During my exploratory analysis of my data I have found interesting results. Now, my supervisor has asked me to perform a power analysis to calculate the sample size needed to investigate these results ...
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Help with original test of two medians
I am fairly new to statistics and for some reason I decided it was a good idea to come up with my own test to try and answer a research question. I'm wondering if this test I came up mostly via ...
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Performing ANOVA on percentage data?
I am performing an experiment in which I am incubating soil and determine the distribution of water-stable aggregates afterwards. Along the way, I am losing soil but the recovery is usually >95%, ...
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How to model the distribution of cumulative academic credits per semester with staggered cohorts and only cross-sectional data?
I want to model the distribution of cumulative approved academic credits per semester for an undergraduate program that lasts eight semesters. The data come from seven financial aid programs (cohorts),...
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Suitable data quality check for non parametric models
My team is using an XGboost model which performs around 83% accuracy. All of the 10 or so features are non normal like data. Ie they all start from 0 and have a mean > 0 and some have a longer ...
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Dealing with non-monotonic scale in clinical trial
This is a question refined based on comments from two previous questions, I really appreciate everyone's engagement!
We are doing research on sedation during painful procedures and planning a clinical ...
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Addressing bias from non-independence due to inconsistencies in sample frequencies
I'm working with ecological data involving field sites with different numbers of visits/sampling frequencies. I've been running 2x2 chi-square tests and Fisher's exact test on field sites along with ...
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How to estimate sample size for non-parametric tests?
I know how to calculate the required sample size for parametric tests like the z-test, where formulas involve the desired significance level, power, and effect size.
However, I'm not sure how to ...
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Looking for good resources to learn non-parametric statistical tests
I'm looking for a good resource to learn different statistical tests, especially non-parametric ones. Can anyone recommend a good YouTube channel, book, or website?
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High-Dimensional Function Approximation with Uncertainty Quantification
Gaussian Processes are considered the gold-standard for regression with formal uncertainty guarantees. For this reason, they are used extensively to model system dynamics by researchers in the domain ...
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