Non-stationary prediction-error filters have previously been used to interpolate sparse, regularly sampled data. I take an existing method used to estimate a stationary predictionerror filter on sparse, irregularly sampled data, and extend it to use non-stationary prediction-error filters. I then apply this method to interpolate a non-stationary test case, with promising results. I also examine...

this paper presents a new formulation for warehouse inventory management in a stochastic situation. the primary source of this formulation is derived from fp model, which has been proposed by fletcher and ponnambalam for reservoir management. the new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. using this model, the expected value...