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Advances in Business and Management Forecasting. Vol. 12 / Kenneth D. Lawrence, Ronald K. Klimberg.

Contributor(s): Lawrence, Kenneth D [editor.] | Klimberg, Ronald K [editor.]Material type: TextTextSeries: Advances in business and management forecasting ; v. 12.Publisher: Bingley, U.K. : Emerald Publishing Limited, 2017Copyright date: �2018Description: 1 online resource (ix, 212 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781787430693Subject(s): Business forecasting -- Methodology | Management -- ForecastingAdditional physical formats: No titleDDC classification: 658.40355 LOC classification: HD30.27 | .A33 2017Online resources: Click here to access online
Contents:
Prelims -- Forecasting applications -- Predictive analytics, regression analysis and clustering in forecasting -- Time series, intermittent data and supply chain applications.
Summary: Volume 12, Advances in Business and Management Forecasting, is a blind refereed serial publication. It presents state-of-the-art studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting. Volume 12 is divided into three sections: Forecasting Applications, Predictive Analytics and Time Series. An interdisciplinary group of experts explore wide-ranging topics including multi-criteria scoring models, detecting rare events, the assessment of control charts for intermittent data, and fuzzy time series models.
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Holdings
Item type Current library Call number Status Date due Barcode
Ebooks Ebooks Mysore University Main Library
Not for loan EBEP2602

Includes index.

Includes bibliographical references.

Prelims -- Forecasting applications -- Predictive analytics, regression analysis and clustering in forecasting -- Time series, intermittent data and supply chain applications.

Volume 12, Advances in Business and Management Forecasting, is a blind refereed serial publication. It presents state-of-the-art studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting. Volume 12 is divided into three sections: Forecasting Applications, Predictive Analytics and Time Series. An interdisciplinary group of experts explore wide-ranging topics including multi-criteria scoring models, detecting rare events, the assessment of control charts for intermittent data, and fuzzy time series models.

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