Advances in Business and Management Forecasting. Vol. 12 / Kenneth D. Lawrence, Ronald K. Klimberg.
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TextSeries: Advances in business and management forecasting ; v. 12.Publisher: Emerald Publishing Limited, Description: 1 online resource (ix, 212 pages)ISBN: 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 | Item type | Current library | Call number | URL | Status | Date due | Barcode | Item holds |
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eBook
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Digital Library
Resources in this library are accessible in digital format e.g. eBooks or eJournals accessible online. |
HD30.27 .A33 2017 (Browse shelf(Opens below)) | Link to resource | Available |
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| HD30.255 .L85 2007 Environment and industry in developing countries | HD30.255 .S63 2012 Social and sustainable enterprise | HD30.255 .S77 2013 Strategies for sustainable technologies and innovations | HD30.27 .A33 2017 Advances in Business and Management Forecasting. | HD30.27 .A38 2008 Advances in business and management forecasting. | HD30.27 .A38 2009 Advances in business and management forecasting. | HD30.27 .A38 2010 Advances in business and management forecasting. |
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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