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seen Aug 14 at 15:59

Aug
14
answered Test model coefficient (regression slope) against some value
Aug
14
comment Test model coefficient (regression slope) against some value
I am not sure if the Wald test does it. I meant to use the normal t-test which is standardly reported along with the parameters, but not with 0 but with some other value.
Aug
12
comment Test model coefficient (regression slope) against some value
Thanks Glen, I know this from [this great answer]. But how will I get p-value from the t-value?
Aug
12
comment Test model coefficient (regression slope) against some value
looks good! Can you please explain the hypothesis.matrix parameter?
Aug
12
revised Test model coefficient (regression slope) against some value
edited body
Aug
12
asked Test model coefficient (regression slope) against some value
Aug
10
comment Making sense of principal component analysis, eigenvectors & eigenvalues
Looks like "link only answer" - the text around doesn't really answer the question at all.
Jul
25
awarded  Necromancer
Jul
22
awarded  Yearling
Jul
7
awarded  Popular Question
Jul
2
awarded  Curious
Jul
2
awarded  Inquisitive
Jun
18
awarded  Notable Question
Jun
10
comment When forcing intercept of 0 in linear regression is acceptable/advisable
You both just play with words. The usual understanding of 0 + or -1 in lm is removing global intercept, which it actually does. BTW, I say exactly the same as you both do in the last sentence of my answer, so I don't really get why someone downvoted.
Jun
10
answered When forcing intercept of 0 in linear regression is acceptable/advisable
May
31
comment Prerequisites for AIC model comparison
I don't understand what you follow with your attempt to "correct" AIC somehow and what did you actually get by it (how to interpret your result). Anyway, don't dig into this, it doesn't matter because my question was about something completely different: what are the general prerequisites for the AIC (actual, uncorrected) to be sensibly comparable. Don't focus on this particular example, it's just an example of the general thing.
May
30
awarded  Popular Question
May
26
comment When is it ok to remove the intercept in lm()?
You missed the point of Joshua Example 1 and seem to still ignore it completely. In models with categorical covariate the removal of the intercept results in the same model with just different parametrization. This is a legitimate case when intercept can be removed.
May
8
awarded  Taxonomist
Apr
27
comment JAGS: unobserved parents and intialization
stats.stackexchange.com/q/17121/5509