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Statistics版 - a class of models more general than classic GLM
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相关话题的讨论汇总
话题: glm话题: models话题: dispersion话题: classic话题: general
进入Statistics版参与讨论
1 (共1页)
s*********e
发帖数: 1051
A*******s
发帖数: 3942
2
赞。
Insurance company比较喜欢搞这类的double GLM。
很少见到银行的应用
也许dispersion可以用来搞stress test

【在 s*********e 的大作中提到】
: Jorgensen's dispersion models (1987)
: http://statcompute.wordpress.com/2013/07/14/dispersion-models/

s*********e
发帖数: 1051
3
it has nothing to do with double GLM or not.
from theoretical standpoint, all exponential error GLM is just a special
case of dispersion GLM and can be represented in a general formula form as
shown in Song's paper.
in other words, there are some models fallen outside of classic GLM based on
exponential errors, such as simplex model (which is a very good candidate
models for unity outcomes).

【在 A*******s 的大作中提到】
: 赞。
: Insurance company比较喜欢搞这类的double GLM。
: 很少见到银行的应用
: 也许dispersion可以用来搞stress test

A*******s
发帖数: 3942
4
i think it is just about the naming.
Double GLM is nothing but modeling the mean and dispersion simultaneously
via traditional GLM framework and this terminology is widely accepted in
actuarial models nowadays.
you may refer to an much ealier paper of Smyth 1988 GLM with varying
dispersion.

on

【在 s*********e 的大作中提到】
: it has nothing to do with double GLM or not.
: from theoretical standpoint, all exponential error GLM is just a special
: case of dispersion GLM and can be represented in a general formula form as
: shown in Song's paper.
: in other words, there are some models fallen outside of classic GLM based on
: exponential errors, such as simplex model (which is a very good candidate
: models for unity outcomes).

c****t
发帖数: 19049
5
啧啧数学不行就是不行啊
1 (共1页)
进入Statistics版参与讨论
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Another opening needs immediate fill-in大伙儿捧个人场吧
ANOVA model 中 CELL count 过小到底对model有什么影响请问logit model中为什么没有error项?
model simplex distributionFinance方面的 SAS/Statistical modeler 都需要会些啥??
residual deviance 和 dispersion parameter请问怎么建立变量全是ordinal data的model?急,谢谢。
longitudinal data analysis里面,GEE model 和 mixed model两个方法各有什么优越性吗?请问:R-square 可以用来评估GLM model得好坏吗
一道统计面试题一个量有两个分布描述,如何把这两个分布的信息结合起来呢?
相关话题的讨论汇总
话题: glm话题: models话题: dispersion话题: classic话题: general