You are not logged in. Your edit will be placed in a queue until it is peer reviewed.
We welcome edits that make the post easier to understand and more valuable for readers. Because community members review edits, please try to make the post substantially better than how you found it, for example, by fixing grammar or adding additional resources and hyperlinks.
Required fields*
- $\begingroup$ thanks so far! This is good help... But: How can I interpret high or (low) values of theta? In McCaullaughs book generalized linear models there is a link to this paper from anscombe to make an interpretation of k. But unfortunately I don't really get it. The paper is claremontmckenna.edu/facultysites/math/FacMember/MOneill/… $\endgroup$MarkDollar– MarkDollar2011-05-06 21:20:09 +00:00Commented May 6, 2011 at 21:20
- $\begingroup$ You just have to read the first page. So theta (or k in anscombe) is the shape parameter of the negbin distribution and it manages, if the distribution is closer to gamma (k -> 0) or poisson (k -> infinity). But what does it mean to the fit? How can I interpret theta for example for the cars estimation? $\endgroup$MarkDollar– MarkDollar2011-05-06 21:28:57 +00:00Commented May 6, 2011 at 21:28
- $\begingroup$ What is the range of theta? Does theta have to be a value greater than one? $\endgroup$MLE– MLE2021-12-20 07:37:48 +00:00Commented Dec 20, 2021 at 7:37
- $\begingroup$ The only restriction is Theta > 0, and the value of 1 does not correspond to any case of special interest. The negative binomial distribution is always overdispersed compared to the Poisson, with smaller values of theta corresponding to more overdispersion [in this specific parametrization] $\endgroup$Aniko– Aniko2022-01-31 19:51:32 +00:00Commented Jan 31, 2022 at 19:51
Add a comment |
How to Edit
- Correct minor typos or mistakes
- Clarify meaning without changing it
- Add related resources or links
- Always respect the author’s intent
- Don’t use edits to reply to the author
How to Format
- create code fences with backticks ` or tildes ~ ```
like so
``` - add language identifier to highlight code ```python
def function(foo):
print(foo)
``` - put returns between paragraphs
- for linebreak add 2 spaces at end
- _italic_ or **bold**
- indent code by 4 spaces
- backtick escapes
`like _so_` - quote by placing > at start of line
- to make links (use https whenever possible) <https://example.com>[example](https://example.com)<a href="https://example.com">example</a>
- MathJax equations
$\sin^2 \theta$
How to Tag
A tag is a keyword or label that categorizes your question with other, similar questions. Choose one or more (up to 5) tags that will help answerers to find and interpret your question.
- complete the sentence: my question is about...
- use tags that describe things or concepts that are essential, not incidental to your question
- favor using existing popular tags
- read the descriptions that appear below the tag
If your question is primarily about a topic for which you can't find a tag:
- combine multiple words into single-words with hyphens (e.g. machine-learning), up to a maximum of 35 characters
- creating new tags is a privilege; if you can't yet create a tag you need, then post this question without it, then ask the community to create it for you