I have to design a non additive fact table.
The following is the hierarchy
Project -> SubProj ->Plan -> Phase -> WorkFlow
Now I will be calcurating measures like EV,SV and LF
All the Metrics are non-Additive and i have to use the formula to
calculate the data in each level.
How can i design my Fact table so that i will be able to get the
metrics value at all the levels from the same table.
Re: Boeing and metrcication question ... accident, every experiment, every change in design covers at least one acre, ... to metrics is absolutely absurd if not insane. ... But those of us who believe in American supremacy will not bend. ... Thank God!... (rec.crafts.metalworking)
Re: measuring benefits from automating tests ... So you will have to design experiments to do the evaluation that are tailored to your shop. ... Any of the existing literature on process improvement will have guidelines for doing such small scale experiments. ... Here the body of literature on metrics programs should be helpful since designing good metrics requires quantification. ... doing what you want to do well requires substantial experience in at least three distinct disciplines (process improvement, experimental design, and metrics design). ... (comp.software.testing)
Re: using Principal Component Analysis to create a quality index ... I have a mechanical design characterized by 6 different metrics,... all have different units and they differ by orders of magnitude.. ... I want to apply PCA to create a Quality Index out of these 6 ... (sci.stat.math)
Re: using Principal Component Analysis to create a quality index ... I have a mechanical design characterized by 6 different metrics,... all have different units and they differ by orders of magnitude. ... I want to apply PCA to create a Quality Index out of these 6 ... (sci.stat.math)
Re: using Principal Component Analysis to create a quality index ... I have a mechanical design characterized by 6 different metrics,... then you should use covariances, not correlations, because differences ... the measures are all logs.... (sci.stat.math)
