Under certain assumptions two probability distributions for the variation in the number of births per couple are derived. A procedure to find the B.A.N. (Best Asymptotically Normal) estimates of the ...

The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

Information generated by the house-selling probability model could provide the seller with recommendations on what can be done -- reducing the asking price or remodeling, for example -- to ...

Backtesting of a probability of default model in the point-in-time–through-the-cycle context Mark Rubtsov Need to know We claim PD model correctness is equivalent to unbiasedness; given unbiasedness, ...

Either way, scientists can still use quantum probability to predict and model behavior. All these behaviors that seemed irrational under classical probability models become explainable through ...