Questions tagged [parameterization]
For questions about how to parameterize some statistical model, or comparisons between different ways to parameterize.
337 questions
1 vote
0 answers
34 views
Varible/parameter/estimate notation when comparing paired estimates [closed]
Could you recommend me how variables/parameters/estimates are notated when comparing paired estimates. For example, the situation is as follows. There are two scales, A and B, and I would like to know ...
0 votes
1 answer
52 views
Parameterizing a Time Series with Daily Peaks
I'm looking to find a way to parameterize the shape of the power output of solar panels (MW over time). In particular, I'm looking to parameterize only the daily shapes over each hour of the power ...
1 vote
0 answers
65 views
INLA model parametrization
I am new to using INLA models and wanted to know if I have violated an assumption. I am working on distance sampling of highly mobile species. Each point in my data represents the centre of a 4*4km ...
0 votes
2 answers
187 views
How does glm.nb() in R parametrize the Negative Binomial distribution with $\mu$ and $\theta$?
I'm working with the glm.nb() function in R, which fits a Negative Binomial distribution using the parameters $\mu$ (mean) and $\theta$ (overdispersion parameter). The variance is given by: $$ \text{...
4 votes
1 answer
101 views
How to estimate the parameter of an equation (negative exponent), without having explicit x and y datapoints
I have ratios (or %changes) of x1 vs. x2 and y1 vs. y2, and so on. The initial x value matters, hence it is a non-linear function (negative exponential) in the form: y = c(1-e^(px)) That is, I need to ...
1 vote
0 answers
26 views
How do we calculate the derivative of the modified Bessel function of the third kind (with respect to its parameter) using R? [duplicate]
As the title says, I would like to know how do we calculate the derivative of the modified Bessel function of the third kind (with respect to its parameter) using R. As far as I know, there is no ...
0 votes
0 answers
50 views
Propagation of errors not being invariable
I noticed, that for a simple polynomial, a straight line or a parabola for example, the propagation of errors when finding the roots, is not translation-invariant. For example, with a line: $$f(x) = a ...
0 votes
1 answer
181 views
Note on standard errors reported by `flexsurv` package as compared to `survival` package
My original question (which is below) was about converting standard errors reported by flexsurv to the standard errors reported by ...