File Name: forecasting methods and applications .zip
Forecasting, as a tool, provides marketing managers with data and information regarding projected sales volume, sales costs, market shares, magnitude of target markets, and other areas of marketing planning and control. The role of forecasting in marketing is emphasised, a few popular forecasting techniques which can be used by small firms are described, the major criteria which are considered when applying forecasting to marketing are discussed, and some implications which may concern the entrepreneur are explored. Frontistis, T. Report bugs here.
It seems that you're in Germany. We have a dedicated site for Germany. Forecasting exchange rates is a variable that preoccupies economists, businesses and governments, being more critical to more people than any other variable.
In Exchange Rate Forecasting the author sets out to provide a concise survey of the techniques of forecasting - bringing together the various forecasting methods and applying them to the exchange rate in a highly accessible and readable manner.
Highly practical in approach, the book provides an understanding of the techniques of forecasting with an emphasis on its applications and use in business decision-making, such as hedging, speculation, investment, financing and capital budgeting. In addition, the author also considers recent developments in the field, notably neural networks and chaos, again, with easy-to-understand explanations of these "rocket science" areas.
The practical approach to forecasting is also reflected in the number of examples that pepper the text, whilst descriptions of some of the software packages that are used in practice to generate forecasts are also provided.
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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Wheelwright and V. Wheelwright , V. Mcgee Published Engineering, Mathematics. Presents a wide range of forecasting methods useful for undergraduate or graduate students majoring in business management, economics, or engineering.
Forecasting is the process of making predictions based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series , cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period. Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible.
PDF | On Jan 1, , S ~G Makridakis and others published Forecasting: Methods and Applications | Find, read and cite all the research you.
Frequently there is a time lag between awareness of an impending event or need and occurrence of that event. This lead time is the main reason for planning and forecasting. If the lead time is zero or very small, there is no need for planning. If the lead time is long, and the outcome of the nal event is conditional on identiable factors, planning can perform an important role.
A sales forecast is an estimation of sales volume that a company can expect to attain within the plan period. A sales forecast is not just a sales predicting. It is the act of matching opportunities with the marketing efforts. Thus sales forecasting shows the probable volume of sales.
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