- Author:James P. Cleary,Hans Levenbach
- Publisher:Lifetime Learning Publications (April 1984)
- Pages:524 pages
- FB2 format1534 kb
- ePUB format1491 kb
- DJVU format1758 kb
- Formats:lrf lrf azw lit
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By Hans Levenbach and James P. Cleary. New York: Van Nostrand Reinhold Company, In. 1984, 537pp. Cleary, J. and H. Levenbach. The Professional Forecaster. Belmont, CA: Lifetime Learning Publications. Authors and affiliations.
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Handle: RePEc:eee:intfor:v:4:y:1988:i:3:p:498-499. as. HTML HTML with abstract plain text plain text with abstract BibTeX RIS (EndNote, RefMan, ProCite) ReDIF JSON. More services and features.
Levenbach, Hans; Cleary, James .
Levenbach, Hans; Cleary, James P. Publication date. Books for People with Print Disabilities. Internet Archive Books.
by James P. Cleary, Hans Levenbach. The modern forecaster: The forecasting process through data analysis: ISBN 9780534033613 (978-0-534-03361-3) Hardcover, Lifetime Learning Publications, 1984. ISBN 9780534979539 (978-0-534-97953-9) Hardcover, Lifetime Learning,U. Find signed collectible books: 'Forecasting Process Through Data Analysis'. A Statlib Primer: The Forecasting Process Through Statistical Computing. by Hans Levenbach, William M. Brelsford, James P. ISBN 9780534979362 (978-0-534-97936-2) Softcover, Lifetime Learning Pub, 1983.
Office Building Investment and the Macroeconomy: Empirical Evidence, 1973-1985.
The modern forecaster : the forecasting process through data analysis, Hans Levenbach, James P. Cleary
The modern forecaster : the forecasting process through data analysis, Hans Levenbach, James P.
Discover Book Depository's huge selection of James P Cleary books . Forecasting Process Through Data Analysis. Excel Add-Ins and Data Disk for Levenbach/Cleary S Forecasting: Practice and Process for Demand Management.
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Levenbach, Hans and James P. Forecasting: Practice and Process for Demand Management
Levenbach, Hans and James P. Forecasting: Practice and Process for Demand Management. Belmont, California:. 2006, pp. 622. This book (with CD-ROM) is for practicing forecasters who specialize in demand management and replenishment planning for the supply chain. While providing large numbers of forecasting techniques, computer software does not provide detailed guidance on how to analyze data and select an appropriate and robust forecasting technique for each forecasting task.