alexa Abstract | Throughput Port Demand Forecasting
ISSN: 2162-6359

International Journal of Economics & Management Sciences
Open Access

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Research Article Open Access

Abstract

Forecasts are numerical estimates of the future levels of sales, demand, inventories, costs imports, exports and prices, among others. For a firm, industry, a sector of the economy or the aggregate economy let alone factors such as international trade and finance. The objective is to assist management in planning, budgeting, marketing efforts, materials requirements, sustainability, the refuse from power production and efforts to restrain the effects of pollution on climate change. We indicate several procedures which are relatively easier to compute, more accurate and not dependent on finding predictor (or explanatory) variables which have coefficients of correlation which are small. By using one set of data, (port demand in units), we do short-term forecasting of up to twelve periods which are less data dependent and produce forecasts which do not require a huge investment in computer and personnel time.

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Author(s): Jeffrey E Jarrett

Keywords

Time series, Autocorrelation function (ACF), Partial autocorrelation function (PACF), Forecast modeling, Ljung-box statistic, Decomposition, Management Optimization, Innovation Policy and the Economy, Socio-Economic Planning Sciences, Economic indicator, Total Quality Management (TQM), Value based Management, Entrepreneurial Development, Management in Education, Classical Economics, Monetary Neutrality, Econometrics, New Economy, Welfare Economics, Development Economics, Economic Transparency, Globalisation, Game theory

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