Description Usage Format Details Source
Here the number of failures in a run is a Poisson variable with mean affected by the various factor combinations and also observation times. There are 5 factors. Note that all explanatory variables are of qualitative type and in regression they will have to be converted into a group of indicator columns each. If there are 2 categories a single indicator column suffices. If there are k categories we need k-1 columns.
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A data frame with 90 observations on the following 7 variables.
System
System (1=containment, 2= nuclear, 3=power conversion, 4= safety, 5= process auxiliary)
Operator
Operator type (1= air, 2= solenoid, 3=motor driven, 4= manual)
Valve
Valve type (1=ball, 2= butterfly, 3=diaphragm, 4= gate, 5= globe, 6= directional control)
Size
Head size (1= less than 2inches, 2= 2-10 inches, 3= 10-30 inches)
Mode
Operational mode (1= normally closed, 2= normally open)
Failures
Number of failures
Time
Observation times (multiplied by 43800) hours
Poisson regression is recommended for this data set.
http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html
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