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m_id
2003 Jul 10
1
The question is on Symmetry model for square table.
...stop(paste("invalid labels; length", nl, "should be 1 or",
length(levels)))
class(f) <- c(if (ordered) "ordered", "factor")
f
}
-----------------------------------------------------------------------------
The model and Assumptions
log(m_ij)= lambda + lambda_i + lambda_j + lambda_ij
where,
lambda_ij = lambda_ji for i not equal to j
and lambda_i(A) = lambda_i(B)
Likelihood equation is
m_ij =(n_ij + n_ji)/2
For symmetry m_(ij)=m_(ji)
"R program" does not recognised "symm" pathern, that is (1,1), (1,2) and
so on...
2011 Apr 22
1
How to generate normal mixture random variables with given covariance function
...are marginally identically distributed as a two normal mixture p0*N(0,1) + (1-p0) *N( miu_i, 1) where miu_i are identically distributed according to a mixture and I have generated Z_i one by one .
Now suppose these m random variables are jointly m-dimensional normal with correlation matrix M= (m_ij).
How to proceed next or how to start correctly ?
Question:
1. Are Z_i, i=1,...,m I have generated jointly normal?
2. How to get them such that they are jointly normal with M
Thank you,
-Chee
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