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Poisson regression with continuous data [duplicate]

I have a time series of floating numbers, say, 0.1, 0.5, 1.1, 0.6, 2.0, 1.4, 0.4 Now, I would like to model this series with Poisson regression, since the numbers, even though they seem ...
3k views

What are some examples of anachronistic practices in statistics?

I am referring to practices that still maintain their presence, even though the problems (usually computational) they were designed to cope with have been mostly solved. For example, Yates' ...
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Poisson regression with large data: is it wrong to change the unit of measurement?

Due to the factorial in a poisson distribution, it becomes unpractical to estimate poisson models (for example, using maximum likelihood) when the observations are large. So, for example, if I am ...
6k views

In a Poisson model, what is the difference between using time as a covariate or an offset?

I recently discovered how to model exposures over time using the log of (e.g.) time as an offset in a Poisson regression. I understood that the offset corresponds to having time as covariate with ...
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How is it possible that Poisson GLM accepts non-integer numbers?

I am really stunned by the fact that the Poisson GLM accepts non-integer numbers! Look: Data (contents of data.txt): ...
10k views

Using poisson regression for continuous data?

Can the poisson distribution be used to analyze continuous data as well as discrete data? I have a few data sets where response variables are continuous, but resemble a poisson distribution rather ...
7k views

Should I use Poisson distribution for non-integer, count-like data?

It's my first question here, I hope I'll ask it correctly. I am trying to find out how to analyse non-integer, count data (yes!). I am looking at the effect of a given treatment on habitat suitability ...
773 views

How to regress a positive response variable that is also not a count variable?

I am asked to perform a regression on a dependent variable that only takes positive values. Intuitively one can think of Poisson or negative binomial, but unfortunately the response variable that I am ...
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Poisson regression for binary data

I've been trying to read up on Poisson regression models, and it looks like it is possible to estimate such a model with a binary outcome. This has come up before on this site here (and somewhat here ...
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What log-likelihood function do you use when doing a Poisson regression with continuous response?

I am given $N$ observations of pairs of covariates and response $(\mathbf{x}_i, y_i)$. When the response are non-negative integers, by doing Poisson regression I am modelling \$y_i \sim \mathrm{Pois}(\...
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Percentages as the response variable in GLMM (glmer), proportional binomial or not?

After looking through several questions on stackexchange, and even applying many of the suggested methods I have come to a point where I would like to have an expert's advice if the methods applied on ...
1k views

Why one can fit Poisson GLM on non-integer values in Stata?

I have aggregated death counts and some categorical predictors e.g. era, drug use, and I'm running a Poisson GZLM in SPSS, also a glm in Stata (generalized linear ...
460 views

Why does Poisson GLM fit better to non-integer data?

Let's assume that I have a set of predictors and a non-negative integer resulting variable (number of events). All observations are repeated few times (it means that all predictors have the same ...