Abstract Given two probability distributions expressing returns on single risky assets of a portfolio, we innovatively define consumer’s demand functions connected with contingent consumption plans. This thing is possible whenever coherently summarize every distribution being chosen by the consumer. Since prevision choices are made consumer inside metric space, show that can be studied means st...

Demand forecasting is a central component of the replenishment process for retailers, as it provides crucial input subsequent decision making like ordering processes. In contrast to point estimates, such conditional mean underlying probability distribution, or confidence intervals, complete density functions allows investigate impact on operational metrics, which are important define business s...

"A general method of introducing demographic effects into any demand system, using modifying functions, is described which permits complicated interactions of demographic variables with prices and expeditures. Theorems give properties the modifying functions must have to ensure integrability of the resulting system. Demand equations of the new system are given explicitly as functions of the o...