Decision-makers under uncertainty. Supports Wald's, Savage, Hurwitz, optimism, pessimism criterions and Bayes, Bernoulli-Laplace, Hodge-Lehmann, Germeier criterions.
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Updated
Dec 6, 2021 - Python
Decision-makers under uncertainty. Supports Wald's, Savage, Hurwitz, optimism, pessimism criterions and Bayes, Bernoulli-Laplace, Hodge-Lehmann, Germeier criterions.
A Wald statistic for group-level cheating detection
Some movies to teach statistical concepts
This code predicts that how many customers having a simmons credit card, debit card,monthly spendings at thier apparel store would buy or not use the coupon sent. Afterwards it would provide a logistic regression model to conclude that to which customers the expensive SImmons Coupons should be sent. So that eventually it would maximize the benef…
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