Questions tagged [parametric]
The parametric tag has no usage guidance.
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Is there a statistical test for five groups with averages ONLY?
The data I collected was measuring plant shoot masses and these were extremely small, so I could only find the total mass of the shoots from 30 plants. Hence, I only have the mean and none of the ...
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Why are parametric models usually robust to mild misspecification?
Statisticians often use parametric families of models, for example normal distributions with unknown mean and variance. However, nothing in real life is perfectly normally distributed (or distributed ...
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How do I sample new data for a parametric bootstrap with linear regression?
I initially have two data vectors $x$ and $y$, where $y$ is assumed to fit the linear model $y = \beta_0 + \beta_1x + \epsilon$, with $\epsilon \sim N(0,\sigma^2)$. I fit the model using fitlm in ...
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Mapping Parametric Curves with auxiliary variables
The image below displays an approach of using an auxiliary variable to map the parametric curves of a standard normal pdf and cdf.
In Equation (1), z as r.v. is clearly one-dimensional. However, after ...
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Comparing before and after survey using Likert Scale
We are trying to measure if there is a difference on the level of interests of participants before and after I let them play a game. The survey is in the form of Likert Scale where ...
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Example of a parametric family of distributions that always has dependence on among its variables
Inspired by this question, I would like an example of a parametric family of distributions such that there is dependence for all choices of parameters. The family could be infinite or finite, but I ...
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Which test should I use to compare a normal distribution sample with skewed distribution sample?
I have two groups : Infection group (n=26) and healthy control group (n=127).
The aim is to see if there is a difference in the mean of T cells absolute count* values between the two groups.
Ho= the ...
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Must an alpha=0.01 be used to interpret significance of parametric terms in a GAM?
I have fit a time-series count HGAM with environmental covariates as parametric terms and year as a site-varying smooth term. I am wondering if I need to use an alpha threshold of 0.01 to interpret ...
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Interpreting hazard ratios in Royston-Parmar model (gammax, flexsurv::flexsurvspline)
I am a bit confused by the hazard ratios from the flexsurvspline model (Royston-Parmar). For a categorical variable (say X_1 with two levels, (a) and (b)) with time-varying coefficients, I can specify ...
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Choosing the right statistical method - predictors for Knee function
I am new to statistics and I am struggling to choose the right statistical method for my work. I am trying to determine predictors for knee function after a specific type of knee surgery.
I have a ...
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Use of both parametric and non-parametric tests in the same study
Suppose we are investigating whether there is a significant difference in dependent variables A and B between two treatments in a population. Let's assume that the data provide parametric assumptions (...
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Predicting time to event / duration data
I've built a parametric survival model (survreg in R) to predict injury recovery duration using features such as age and treatments. I'm looking at trying model-based boosting using mboost with ...
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What repeated measures statistical tests should I use with uneven sample size and parametrical/nonparametrical distribution?
I'm looking for a way to measure significance + variance homogeneity/heterogenity
First of all I tested my data for normality and it's not always parametrical, so I think that I should use different ...
