Discrete stochastic population models and delay effect

In population dynamics, difference equations are frequently used in mathematical modelling of the single-species populations. Incorporating stochasticity into these deterministic models has been attracted too much attention in recent years. The aim including stochasticity into the deterministic models is to provide a better approach to the real-life problems. In this thesis, the delay effect, which is frequently encountered in the nature and which can not be ignored, was included in stochastic population models existing in the literature, aiming to obtain a more realistic approach and better results. Finally, various theoretical and numerical results have been obtained and the results were compared with those in the literature.