000 02448nam a2200433Ii 4500
001 9781787430693
003 UtOrBLW
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006 m o d
007 cr un|||||||||
008 171115t20172018enk ob 001 0 eng d
020 _a9781787430693
_q(e-book)
040 _aUtOrBLW
_beng
_erda
_cUtOrBLW
050 4 _aHD30.27
_b.A33 2017
072 7 _aKCJ
_2bicssc
072 7 _aBUS086000
_2bisacsh
080 _a330.1
082 0 4 _a658.40355
_223
245 0 0 _aAdvances in Business and Management Forecasting.
_nVol. 12 /
_cKenneth D. Lawrence, Ronald K. Klimberg.
264 1 _aBingley, U.K. :
_bEmerald Publishing Limited,
_c2017.
264 4 _c�2018
300 _a1 online resource (ix, 212 pages).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvances in business and management forecasting,
_x1477-4070 ;
_vv. 12
500 _aIncludes index.
504 _aIncludes bibliographical references.
505 0 _aPrelims -- Forecasting applications -- Predictive analytics, regression analysis and clustering in forecasting -- Time series, intermittent data and supply chain applications.
520 _aVolume 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.
588 0 _aPrint version record
650 0 _aBusiness forecasting
_xMethodology.
650 0 _aManagement
_xForecasting.
700 1 _aLawrence, Kenneth D.,
_eeditor.
700 1 _aKlimberg, Ronald K.,
_eeditor.
776 _z9781787430709
830 0 _aAdvances in business and management forecasting ;
_vv. 12.
_x1477-4070
856 4 0 _uhttps://www.emerald.com/insight/publication/doi/10.1108/S1477-4070201712
999 _c526434
_d526369