All Questions
Tagged with nonparametric r
79
questions with no upvoted or accepted answers
6
votes
0
answers
193
views
Non-uniform p-values from hoeffd function in Hmisc when data sets are independent
When using the function hoeffd in the CRAN package Hmisc I get unusual p-values for pairs of data sets that are independent. The function hoeffd is an implementation of Hoeffding's $D$ statistic. ...
- 722
5
votes
0
answers
4k
views
How to better understand when to use Weibull AFT versus Cox Model for Failure Data
I am struggling to understand when I should consider using a Cox regression model versus using a Weibull AFT model to predict the end of life of mechanical components.
I have tried to apply the Cox ...
- 95
5
votes
0
answers
4k
views
Calculate Mantel-Haenszel test in R
I would like to have a reality check of my understanding of the MH statistic. I have been trying to reproduce an example of the Mantel-Haenszel test provided in Conover (1999, p. 192-194). The data ...
- 151
4
votes
1
answer
106
views
Nonparemetric tests: how to support the null hypothesis you claim to be testing
Let us assume that we have taken an unbalanced number of independent random samples from 5 different populations, which will be analogous to 5 different locations in this example. Each observation ...
- 351
4
votes
0
answers
2k
views
How does the gam library calculate AIC?
I was wondering how the gam library calculates the AIC. I can't find a reference that explains how this package calculates it.
...
- 2,672
4
votes
0
answers
543
views
Multiple comparison of non-normal, heteroscedastic data. What test should I use?
I have a set of brain pathology data. These were obtained by counting certain parameters in the brain. Due to availability of human brains, the amount of cases vary a lot across the different groups ...
- 51
3
votes
0
answers
608
views
What does it mean when F values of ANOVAs are not all ~0?
I am running an aligned rank transform ANOVA (a non-parametric ANOVA for an ordinal DV). In my data there are 3 factors and one ordinal DV.
When I create the model:
...
- 319
3
votes
0
answers
2k
views
parametric bootstrap on regression
I keep trying to perform parametric bootstrap on simple regression analysis to grasp the concept. The internet is full of tutorials on non-parametric one, but I found no explanation or steps ...
- 1,478
3
votes
0
answers
255
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Testing semi-parametric versus parametric model
I am estimating a (semi)parametric and a parametric model for a panel data set, and I want to test the functional form by applying the method proposed by Henderson et al. (2008, p.266–267). In ...
- 271
3
votes
0
answers
9k
views
Is there any model that includes random effects with non-parametric data distribution?
I have a non-parametric (by which I mean non-normal) data distribution. I tried several transformations, but none were helpful. Now, I want to find a model where I can include random effects with the ...
- 39
3
votes
0
answers
5k
views
How to interpret results from non-parametric ANCOVA?
I 'm new to the CV and not very good at statistic:) I would much appreciate some help on a non parametric ANCOVA in R sm package.
I do a pre post analysis on a set of pre/post variables of two groups ...
- 31
2
votes
0
answers
69
views
When is the central limit theorem not applied?
I am trying to compare two matched samples. In total I have a sample of 34 people. Each patient receives two treatments, a C1 treatment and a C2 treatment. So each patient will be compared to himself ...
- 919
2
votes
0
answers
194
views
How to conduct a boostrapped or a permutation wilcoxon test (in R)
I have a total of 18 mice, 9 from Healthy group and 9 from Sick group. Since I have a very poor sample size I would like to use boostrapping or permutation test.
Is there a way to conduct a ...
- 579
2
votes
0
answers
171
views
Cross-validation on the HP filter for penalty selection
I'm looking for a bit more clarification on the selection of the $\lambda$ value for the Hodrick-Prescott Filter, aka HP filter. Which stems from a time-series in the form of
$$y_t=g_t+\epsilon_t$$
...
- 569
2
votes
0
answers
51
views
Nonparametric ANOVA for simulated data
I have some simulated data and I want to test whether "group" has an effect. The data are from a Weibull distribution. because the data are simulated, I can determine sample size, however ...
- 469