# Tagged Questions

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### What does it mean for variances to be equal?

What does it mean for variances to be equal? Is this the same as the variance to follow a normal distribution?
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### non normal subsample within normal sample: parametric or nonparametric?

Potentially simple question here but I can't work out the answer, so... I have created a single question questionnaire with five possible yes/no answers and then calculated the percentages for each ...
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### why do parametric tests need normal distribution of sample means?

every parametric test has the assumption that the sample means are following a normal distribution. This is the case if the sample itself is normal distributed or if approximately if the sample size ...
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### Parametric modelling with accelerated failed-time models

I am a clinician who is trying to fit a model that predicts the absolute risk of individuals developing cardiovascular events at the end of follow up period. I came across accelerated failed time ...
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### Exponential family parameter estimation and fitting, references

First of all, I want to express my apologies if the question is too broad or wrong, but I am in need of references and I have no idea whom I can ask. If you are interested, the question comes from a ...
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### Being uniform in log of some parameter?

Alright, I am reading this book called "Bayesian Data Analysis" and it states this idea of being uniform in log of something which I don't have any clue what that might mean?? Example 1: Introduction ...
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### Non-random small sample - What conclusions can I get?

For my thesis I developed a psychotherapeutic method to address social competence in aggressive/withdrawn children. I have obtained a sample of 10 subjects (not random, the professors chose the ...
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### Does a Parametric test exist that satisfies the below conditions?

These past few weeks I've been studying statistics more intensely than ever before but I do have some more advanced background in other fields of mathematics such as linear algebra, numerical ...
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### If any parametric test does not reject null, does its nonparametric alternative do the same?

If nonparametric tests are assumed to have less power than their parametric alternatives, does this imply that if any parametric test does not reject null, then its nonparametric alternative does not ...
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### Analyzing 7-point items with parametric tests?

I realize this question has been asked in various permutations (and I've reviewed the posts), but I can't find a good answer. I have DVs that are 7-point Likert ITEMS. The items were presented ...
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### Parametric or non-parametric test?

In outline shape analysis after getting the results of chain code (in shape software) and principal component values should I use the parametric (ANOVA) or non parametric (Kruskal-Wallis) test to ...
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### PROC CORR vs. REG?

Do both my independent and independent variable have to be normally distributed to run a linear regression? My dependent variable is normally distributed, but my independent is not...therefore, ...
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### Parameters for a Hierarchical Multinomial Regression

I am trying to fit a hierarchical multinomial regression to cross sectional data. I have around 2000 units with only one observation per unit. I have a binomial response variable and 14 dummy ...
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### Finding the best fit parameters for only a certain segment of data

I have some experimental data that are observations of an $n$ dimensional quantity, $x = \{x_1, x_2, \ldots, x_n\}$. I also have a complicated parameterized model $f(a,b)$ for the data, which for a ...
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### Given MCMC samples, what are the options for estimating posterior of parameters?

Markov chain Monte Carlo (MCMC) is a class of algorithms for sampling from probability distributions. In the end, given a parametric model explaining the data, MCMC could also be used for parameter ...
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### What statistical test to use for my questionnaire

I have to do some statistical tests on a questionnaire and don't know which tests i need to do. The questionnaire have been marked as right or wrong and I have about 60 peoples results. The tests i ...
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### Increasing the value of C in SVM (LibSVM) is not changing the accuracy at all

I am trying to learn SVM Classifier using some amount of training data. and then I am predicting for another set (independent from training data) I tried random C values from 0.000001 to 50000000 and ...
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### Looking for special case for EKF and PEM parameter identification

In system identification is very much of methods. I was discusing extended kalman filter (EKF) used for parameter identification and prediction error method (PEM). For ARMAX model this two methods ...
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### Normality assumption and sample size

I know this is a very debated topic, even on this site, but I still couldn't find an answer to my problem. Recently I am working with large samples (300, 400 and more). For now, I am trying to use ...
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### Parametric and non-parametric tests?

I am trying to do tests to see if two numbers were derived from similar distributions. I am not a statistician so please excuse my use of words. I will try to be as accurate as possible. I have a ...
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### Parametric vs. Nonparametric

I did perform a search for this question (I thought it was bound to be asked), but I haven't found one; hopefully this won't be a duplicate. I'm trying to decide if I should take a course in stats ...
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### Maximum Likelihood for Mixed-type Variables

I have samples generated according from a distribution which has jumps in its cumulative distribution function. How can we write and maximize the likelihood function for these samples? The problem ...
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### Nonparametric and parametric parts in semiparametric credit scoring

I am confused about "parametric" and "non-parametric": Our topic is nonparametric estimators for probability of default. So first of all, we consider the generalized linear models, as an example we ...
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### Apply different transformations to different samples for parametric test?

Suppose I have two samples from a population collected from different times, but their distribution looks different (e.g. sample one looks skewed right, while sample two looks bimodal). Can I apply a ...
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### Considerations for choosing transformation on small samples?

For a biological investigation, I am taking measurements of a set group of individuals over five points in time. The measurement is always between 0 and 1. Unfortunately, I was unable to measure every ...
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### Non parametric test on unequal groups and repeated measures data

I am recording animal behaviour in four different conditions but in the same environment. So my data are several values (the number of which vary) representing the frequency of a single behaviour for ...