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Time-Series Forecasting for Durban Tourism by Juan Eduardo is a document available to read on EtoBox.

What is Time-Series Forecasting for Durban Tourism about?

This document compares different time-series forecasting methods to predict tourism demand for Durban, South Africa. It analyzes official statistical data from 1992 to 1998 using various techniques, including naive, moving average, decomposition, single exponential smoothing, ARIMA, multiple regression, genetic regression, and neural networks. The results show that the neural network method produced the most accurate forecasts when comparing actual and predicted visitor numbers. The document aims to provide

Author

Juan Eduardo

Language

EN