# Questions tagged [dispersion]

This tag is very ambiguous. Dispersion is a general term for how spread apart values are. For questions related to disease dissemination content, use the tag epidemiology. For other meanings of dispersion consider using a related tag or creating a new one.

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### Reference for Directional Statistics of Plane Orientation

I've got a project I'm working on where I've got the orientation (normal) vectors of planes. These vectors are all within a unit hemisphere where the $z$-coordinate is strictly positive. The ...
• 149
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### GLM dispersion based on Pearson residuals

In R's glm, the dispersion parameter can be automatically derived using a quasilikelihood model. When I manually compute it, the values are slightly different. The difference is very small and will ...
• 1,694
1 vote
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### Estimating variance of a Gaussian distribution from the mean of absolute values of first differences in a sequential sample

Edited Question: This question is about estimating the variance (or $\text{SD}_0$) of a parent distribution from which a set of random independent samples is taken. The samples are taken in sequence ...
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### Problems with a constant in regression analysis in Excel [duplicate]

I am using regression analysis in excel for a dataset. If I take into account the constant, then I get terrible r-squared values, but the indicators of t-statistics and p-values indicate that it is ...
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### GLM link function, variance Function, and dispersion for linear regression

we were recently introduced in class to GLM's and I am still trying to wrap my head around link functions, variance functions and dispersion paramters. In particular we were asked re-write the linear ...
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### Unusual variance measure

I explore centrality measures for graphs and discretized regions. The data array (for given point) is all distances from this point to the boundary of region. At the beginning I used standard ...
• 253
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### Variance in set of different random variables

Imagine we have sample of values a_1, a_2,...a_n, with a_i value originating from a normal distribution with mean mu_i_a and variance var_i_a, thus each value is single realization of different random ...
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