I am trying to compare Levene,bartlett, count5 tests for a random normal
sample for the significance level and power, the problem seems bug free but
with obvious wrong result, anyone can help, I send the R code as attachment.
Thanks http://www.nabble.com/file/p16992744/758%2Bproject 758+project
-
I am trying to solve the integration equation, for different values of K from
4 to 25, the integration is with respect to u,
Here is the equation:gamma(k/2) / ( sqrt(k-1)*gamma((k-1)/2) ) *
integrate(f= (1+u^2/k-1)^(-k/2), lower=0, upper= sqrt(a^2*k/(k+1-a^2)) ) =
the similar expression as t
the data are 3,5,7,18,43,85,91,98,100,130,230,487, it follows an exp(lamda)
model, how to use bootstrap to obtain MLE of lamda, bias, sd. Thanks a lot
so far my code is
obj<-boot(data,statistic,R=2000)
here statistic should call a function to get an estimate of lamda I
thanks
--
View this message in context:
http://www.nabble.com/how-to-randomly-generate-a-n-by-n-positive-definite-matrix-in-R---tp15340155p15340155.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
http
for example, an expression such as chisq(df=1,ncp=0) ?
thanks
--
View this message in context:
http://www.nabble.com/how-to-calculate-chisq-value-in-R-tp15338943p15338943.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-pro
5 matches
Mail list logo