[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
st: dilemma of transformation to normal dist.
I want to do a multivariate regression analysis (of any sort)
on a continuous dependent variable, which has, highly skewed,
somewhat log-normal distribution.
To enable linear regression, this dependent
was logarithm-transformed. Since a considerable number
of records have 0 value, however, they could not be
log-transformed. Setting an very small positive arbitrary value
to these records would enable log-transformation.
However, the size of this arbitrary value would
affect the result of regression analysis.
What is the best way to transform this variable to normal distribution?
Or else, are there multivariate regression method
which can be applied to variable with non-normal distribution?
Thank you for your suggestion in advance.
Do You Yahoo!?
Yahoo! BB is Broadband by Yahoo!
* For searches and help try: