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A few years ago I designed a radiation detector that works by measuring the interval between events rather than counting them My assumption was, that when measuring non-contiguous samples, on ave
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- r - When to remove insignificant variables? - Cross Validated
What is the correlations among the independent variables? This is less important for pure prediction, but if you want to gain some inferential information it is important that the independent variables be fairly uncorrelated Typically, when you use logistic regression in a business setting, both inferential information about the variables used along with a good prediction are what
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