All Questions
Tagged with likelihood-ratio anova
24
questions
1
vote
0
answers
13
views
Am I using the correct test statistic for a binomial glm using the type III Anova function in the package car?
I am trying to look at how the likelihood of event Y is influenced by two factors A (5 levels) and B (2 levels) and my model is as follows:
...
- 441
5
votes
2
answers
166
views
Why do I get a negative chi-squared value in my type III ANOVA output for my binomial GLM?
I am trying to look at how the likelihood of event X occurring is affected by three factors A (5 levels), B (2 levels) and C (3 levels). To do this I have run a binomial glm followed by a type 3 ANOVA ...
- 441
3
votes
1
answer
160
views
Why does the Type-3 ANOVA using LRT via car::Anova() give different result than term-by-term LRT model comparison via anova() in R?
With this very simple data:
...
- 33
6
votes
1
answer
981
views
What exactly do Anova sums of squares represent in lmer models?
In a lme4::lmer model, the anova function returns an sequential analysis of variance table.
As explained on page 34 of http://...
- 281
3
votes
0
answers
1k
views
Is the F test in ANOVA a likelihood ratio or Wald's one?
I'm trying to figure out, if the F test in ANOVA is the Wald's test or LRT?
I learned, that the LRT compare nested models and "assess" the reduction in residual variance. This would justify ...
- 71
3
votes
0
answers
92
views
Regarding the type 2 or 3 ANOVA, does the analysis via model reduction correspond to LRT and via contrasts - to Wald approach?
I noticed, that in R we can obtain type 2 and type 3 ANOVA in many ways in unbalanced designs:
For example, for type-2
car::Anova(...type=2),
by running anova() over a sequence of models with swapped ...
- 91
2
votes
1
answer
235
views
Why use an ANOVA/LRT to test for significance of a factor?
I've been asked to use a likelihood ratio test to test for the significance of a main effect in a linear model. I have done so as follows:
anova(model1, model2)
...
- 121
0
votes
1
answer
118
views
Testing independence and setting constraint matrices in a multinomial logit model in R
I have a data set the looks like this (called rand_df as this is a random subset from the much larger dataframe):
...
- 115
1
vote
2
answers
4k
views
ANOVA vs likelihood ratio test (different result)
I found the likelihood ratio test has a very similar setup as ANOVA: we are essentially testing if adding an additional variable would significantly increase the fitness. So I run both statistical ...
- 313
2
votes
2
answers
235
views
On the P-value of the variance of random intercept in glmer model
I'm using a logistic mixed-effect model with random intercept through glmer function from lme4 package. I want to test the ...
- 155
0
votes
1
answer
49
views
Does the R anova() or car::Anova() care of the type 1 error being a series of LR tests over nested models?
As in the question. Isn't it that the output of anova(model, model_reduced) or car::Anova(model, type=3) makes the problem of multiple comparisons? What about the aov(), which is type 1 ANOVA, but ...
4
votes
2
answers
1k
views
How can I show that the LRT of $H_0:\theta_0=\theta_1=...=\theta_k$ is given by the F test under one-way ANOVA assumptions?
I am a bit curious as to how I can show this. I am aware that you can find this by using the union-intersection test, but it has been hinted that one can use the LRT test to find that LRT for $H_0$ is ...
- 2,103
1
vote
0
answers
59
views
Why do the car::Anova(test="LRT", type=3) and anova(test="LRT") slightly differ in the output (details inside) [duplicate]
Let's say we have this data:
...
- 163
2
votes
0
answers
104
views
Using likelihood ratio test to compare 2 nested simple linear models instead of anova
Is it valid to use a likelihood ratio test to compare 2 nested linear models instead of anova? I'm trying to assess whether the quadratic model is a better fit to the data. I know anova seems to be ...
- 130
1
vote
1
answer
218
views
Select mixed model same degree of freedom
When I have a two mixed models (lme function) with different df then ANOVA summary shows the p-value of likelihood ratio test as following :
...
- 93