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I have some time-series data, which deal with various incidents / asset failures / faults somewhere in the network that have an effect on performance (we call them Key Performance Indicators). Now, I am aiming to find a correlation between a typical type of fault causing an overall outage and, therein, affecting the performance factors (targets).

Can anyone help me find such a fault causal effect analysis, in terms of what methods / techniques to use and their intricacies?

I have access to SPSS, MATLAB and SAS.

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can anyone please have a look at Q pls and try answering!!! – Shashi Sep 11 '12 at 7:09
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As this question hasn't received much attention, one way to revive it is to add more information. Can you describe your dataset, for example? – chl♦ Sep 11 '12 at 9:07

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You need survival analysis! Hazard Cox regression or Kaplan Meier models. This is all about rare time to event data. Matlab /SAS and lately SPSS are v good tools ( and help source) for this kind of analyses.

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