Hi,
I am fitting a weibull model as follows
my models is
s <- Surv(DFBR$Time,DFBR$Censor)
wei <- survreg(s~Group+UsefulLife,data = DFBR,dist="weibull")
How can i predict the probabilty of failure in next 10 days, for a new data
with group =10 and usefuleLife =100
Thx
shilpi
Hi,
I am trying to predict the time to certain type of failure given the
following data on Certain Factory Equipments. The data I have are
readings collected every day for sensor installed on those equipments
.On Same day, an equipment can have different Repaires performed,and on
some days no
Hi,
I have a dichotomous data where some my independent variables are categorical,
some are continuous and some are binary(0/1)
My dependent is a binary response (Fail/NoFail,0/1) .
The data is some readings collected everyday over a period of time.
The goal is to use this data and see if we c
Hi ,
I want to implement a simple forward stepwise regression in java which
fits a linear model with no term and then add terms one by one .What
would be the best algorithm to use along with Criterion for what terms to
keep /Drop and when to Stop.
Any help appreciated.
Thanks
--
*The informatio
Hi,
I have say 1000 different Independent Variables which have each been
classified into diiferent clusters using some clustering method.
I want to show these 1000 varaible in a report, but want some criterion to rank
them so i can show the most significant ones (based on the cluster groups)
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