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Fulltext Sources Online

Fulltext Sources Online PDF Author:
Publisher:
ISBN:
Category : Information services
Languages : en
Pages : 1874

Book Description


Fulltext Sources Online

Fulltext Sources Online PDF Author:
Publisher:
ISBN:
Category : Information services
Languages : en
Pages : 1874

Book Description


Fulltext Sources Online

Fulltext Sources Online PDF Author: Mary B.. Glose
Publisher:
ISBN: 9781573871686
Category : Education
Languages : en
Pages : 1858

Book Description
Aggregator products in FSO include: - DataStar- Dialog- EBSCO host- Eureka- Europresse- Factiva- FirstSearch- GBI- Genios- Infomart- InfoTrac- InSite- LexisNexis- NewsBank- Newscan- NewsLibrary- Nikkei Net Interactive- Ovid- Pressed (EDD)- Profound- ProQuest- Questel- Quicklaw- RBB- STN- International- Westlaw- Wilson Web FSO subscribers also receive access to the Private Zone, a hyperlinked list of publications with free archives available on the Internet. The Private Zone provides access to fulltext back issues of individual publications found in the print edition of FSO.

Situation and Outlook Report

Situation and Outlook Report PDF Author:
Publisher:
ISBN:
Category : Sugar trade
Languages : en
Pages : 988

Book Description


Mexican Forecast

Mexican Forecast PDF Author:
Publisher:
ISBN:
Category : Mexico
Languages : en
Pages : 312

Book Description


Foreign Market Reports

Foreign Market Reports PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 344

Book Description


Index to Foreign Production and Commercial Reports

Index to Foreign Production and Commercial Reports PDF Author: United States. Bureau of International Commerce
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 280

Book Description


The Making of National Economic Forecasts

The Making of National Economic Forecasts PDF Author: Lawrence Robert Klein
Publisher: Edward Elgar Publishing
ISBN: 1849802165
Category : Business & Economics
Languages : en
Pages : 400

Book Description
In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.

Findex

Findex PDF Author:
Publisher:
ISBN:
Category : Marketing research
Languages : en
Pages : 896

Book Description


Cumulative Index to Foreign Production and Commercial Reports

Cumulative Index to Foreign Production and Commercial Reports PDF Author: United States. Bureau of International Commerce
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 284

Book Description


An Algorithmic Crystal Ball: Forecasts-based on Machine Learning

An Algorithmic Crystal Ball: Forecasts-based on Machine Learning PDF Author: Jin-Kyu Jung
Publisher: International Monetary Fund
ISBN: 1484380630
Category : Computers
Languages : en
Pages : 34

Book Description
Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying that process. We pursue a new approach to forecasting by employing a number of machine learning algorithms, a method that is data driven, and imposing limited restrictions on the nature of the true relationship between input and output variables. We apply the Elastic Net, SuperLearner, and Recurring Neural Network algorithms on macro data of seven, broadly representative, advanced and emerging economies and find that these algorithms can outperform traditional statistical models, thereby offering a relevant addition to the field of economic forecasting.