Sometimes forecasts of the original variable are of interest although a variable appears in logarithms (logs) in a system of time series. In that case converting the forecast for the log of the variable to a naive forecast of the original variable by simply applying the exponential...

Purpose – The paper aims to evaluate different artificial neural network models and to suggest a suitable model for forecasting inflation in G-7 countries. Design/methodology/approach – The study applies different combinations of neural networks with hyperbolic tangent function using...

This article suggests two generalized classes of estimators of population mean using auxiliary information in stratified random sampling. The properties of the suggested classes are derived and asymptotic optimum estimator in each class is identified with its properties. The large numbers of...