I want to compare two roc curves generated from 2 probit models with different independent variables on same dependent binary variable.
I want to compute the t-stat and p-val of one roc curve being more significant than other.
Basically this is computing z in eqn 3 of this paper by Hanley Mcneil:
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I want to know how they compute r. i.e how they generate Table 1
Is there any python fn which does this?
Bu iş için 7 freelancer ortalamada $24 teklif veriyor
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I now required fn() in Python. So, if your table could be transformed to excel all manipulations would be easy.
I have been working with market data manipulation since 2 years and have goo knowledge of statistics. Would love to take this up