Stochastic Models was created in 1985.
Quan-Lin Li has written: 'Constructive computation in stochastic models with applications' -- subject(s): Stochastic processes, Stochastic models
D. K. Anand has written: 'Solar powered absorption air-conditioning system performance predictions using stochastic weather models' -- subject(s): Stochastic systems, Stochastic analysis
John Gurland has written: 'Stochastic models in medicine and biology'
Mark M. Meerschaert has written: 'Mathematical modeling' -- subject(s): Mathematical models 'Stochastic models for fractional calculus' -- subject(s): Fractional calculus, Diffusion processes, Stochastic analysis 'Mathematical Modeling'
Tran Duong Hien has written: 'Numerical analysis of stochastic systems' -- subject(s): Mathematical models, Numerical analysis, Stochastic systems
R. Srikanthan has written: 'Stochastic generation of rainfall and evaporation data' -- subject(s): Evaporation (Meteorology), Mathematical models, Rain and rainfall, Stochastic processes
Kurt Marti has written: 'Stochastic Optimization' 'Coping with uncertainty' -- subject(s): Mathematical models, Uncertainty 'Computation of efficient solutions of discretely distributed stochastic optimization problems' 'Descent directions and efficient solutions in discretely distributed stochastic programs' -- subject(s): Stochastic processes, Mathematical optimization
Winfried K. Grassmann has written: 'Logic and discrete mathematics' -- subject(s): Mathematics, Computer science 'Stochastic systems for management' -- subject(s): System analysis, Mathematical models, Management, Stochastic systems, Stochastic processes
Edward Pollak has written: 'Stochastic theory of gene frequencies in subdivided populations' -- subject(s): Gene frequency, Mathematical models, Population genetics, Stochastic processes
A. B Rechester has written: 'Calculation of the Kolmogorov entropy for motion along a stochastic magnetic field' -- subject(s): Mathematical models, Stochastic processes, Magnetic fields, Entropy
Tuula Hakala has written: 'A stochastic optimization model for multi-currency bond portfolio management' -- subject(s): Mathematical models, Interest rates, Risk, Stochastic programming
Operations research models are typically classified based on their structure and nature, with common classifications including deterministic vs stochastic models, static vs dynamic models, and discrete vs continuous models. Deterministic models assume perfect information and known inputs, while stochastic models factor in uncertainty and randomness. Static models are based on a single period of time, while dynamic models consider multiple time periods. Discrete models involve integer or binary decision variables, whereas continuous models use real-valued variables.