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Forecasting with computer models econometric, population, and energy forecasting by Rodney D. Green

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Published by Praeger in New York, Eastbourne .
Written in English


  • Economic forecasting -- Simulation methods.,
  • Computer simulation.

Book details:

Edition Notes

Includes bibliographies and index.

StatementRodney D. Green.
LC ClassificationsHB3730
The Physical Object
Paginationxiv,256p. :
Number of Pages256
ID Numbers
Open LibraryOL20942399M
ISBN 100030637880, 0030637872

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forecasting model to extrapolate the observed historical data. In this book we focus on core modeling and forecasting methods that are very widely applicable. We begin by introducing several fundamental issues relevant to any forecasting exercise, and then we treat the construction, use, and evaluation of modern forecasting models. Not surprisingly, you can no longer buy a DEC computer. Forecasting is obviously a difficult activity, and businesses that do it well have a big advantage over those whose forecasts fail. In this book, we will explore the most reliable methods for producing forecasts. Forecasting with computer models: econometric, population, and energy forecasting. [Rodney D Green] Home. WorldCat Home About WorldCat Help. Search. Search This book aims to train students and early professionals in the use of computer models for policy analysis, with special emphasis on economics, and some emphasis on demography and. Many important models have been proposed in literature for improving the accuracy and effeciency of time series modeling and forecasting. The aimof this book is to present a concise description of some popular time series forecasting models used in practice, with their salient by:

a time series forecasting method that fits a trend line to a series of historical data points and then projects the line into the future for forecasts. Forecasting that tries a variety of computer model and selects the best one for a particular application. YOU MIGHT ALSO LIKE Operation and Supply Chain Chp 4 . This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied in economics, engineering and the natural and social sciences. Unlike our earlier book, Time Series: Theory and Methods, re-ferred to in the text as TSTM, this one requires only a knowledge of basic calculus,Cited by: 9. Forecasting of Electricity Demand by Hybrid ANN-PSO Models: /ch Developing economies need to invest in energy projects. Because the gestation period of the electric projects is high, it is of paramount importance toCited by: 8. Forecasting in Business and Economics presents a variety of forecasting techniques and problems. This book discusses the importance of the selection of a relevant information set. Organized into 12 chapters, this book begins with an overview of the forecasting techniques that are useful in decision making.