Intermittent Demand Forecasting - Context, methods and applications

Covering the work in intermittent demand forecasting and the research findings in the following topics: time series (parametric) methods; bootstrapping, both parametric and non-parametric; causal models; and neural networks, this book shows how these methods may be implemented and how they may complement existing operational functions, and more.

Acoperirea lucrarilor de prognoza intermitenta a cererii si a rezultatelor cercetarii in urmatoarele subiecte: metode de serie temporala (parametrica); bootstrapping, atat parametrice cat si neparametrici; modele cauzale; si retelele neuronale, aceasta carte arata cum pot fi implementate aceste metode si cum pot completa functiile operationale existente si multe altele.