st: arcsine(square root)

["Yoshiro Nagao" <yoshiron@hotmail.com>]

Dear all,

I am applying regression analysis
to a dependent variable 'y', which has non-normal
distribution.

arcsine(square root( y )) considerably
transformed 'y' to a normal distribution.

(1) However, are there any better method (such as glm ?)
to apply regression analysis to this y as it is?

(2) Are there advantages in using non-linear least square method (nl)
for this case?

(3) In addition, if  "regress" command is to be used,
are there any stepwise command, equivalent to "sw"
for maximum likelihood estimate?

Thank you for your assistance in advance.

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