This paper presents an economic production quantity (EPQ) model with a periodic order quantity (POQ) policy, product reliability and periodic demand. The machine reliability has decreased over time; therefore, the rates of perfect and defective products reduce and increase over time, respectively. A fixed percentage of these products are reworked while the rest is wasted. Some equipment in thei...

This study presents an application of neural network methods for forecasting per pupil expenditures in public elementary and secondary schools in the United States. Using annual historical data from 1959 through 1990, forecasts were prepared for the period from 1991 through 1995. Forecasting models included the multivariate regression model developed by the National Center for Education Statist...

an experiment was carried out to estimate growth parameters of broiler chickens received artichoke extract in their drinking water using gompertz non-linear model and to compare gompertz non-linear regression equation and artificial neural network modeling in terms of their ability to predict body weight of broiler chicks at day 42 of age. a total number of 250 one- day- old ross 308 broiler ch...

Abstract An alternative look at the linear regression model is taken by proposing an original treatment of a full column rank (design) matrix. In such situation, Moore–Penrose inverse matrix can be obtained utilizing particular formula which applicable solely when to inverted columnwise partitioned into two matrices disjoint ranges. It turns out that this approach, besides simplifying derivatio...

This paper studies a linear regression model, whose errors are functional coefficient autoregressive processes. Firstly, the quasi-maximum likelihood QML estimators of some unknown parameters are given. Secondly, under general conditions, the asymptotic properties existence, consistency, and asymptotic distributions of the QML estimators are investigated. These results extend those of Maller 20...