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| Titolo: |
Advances in business and management forecasting / / edited by Kenneth D. Lawrence, Ronald K. Klimberg
|
| Pubblicazione: | Bingley, England : , : Emerald, , 2016 |
| ©2016 | |
| Descrizione fisica: | 1 online resource (271 p.) |
| Disciplina: | 658.40355 |
| Soggetto topico: | Business forecasting |
| Industrial management - Forecasting | |
| Soggetto genere / forma: | Electronic books. |
| Persona (resp. second.): | LawrenceKenneth D. |
| KlimbergRonald K. | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters. |
| Nota di contenuto: | Front Cover; Advances in Business and Management Forecasting; Copyright Page; Contents; List of Contributors; Editorial Advisory Board; Part I: Forecasting in Marketing and Sales; Optimizing Resources to Better Forecast Future Profits; Introduction; Literature Review; Research Problem; Methodology: Optimization Model for Fan Display; Case and Proposed Models with Forecast; ARIMA Model; Optimization Model; Results; Future Work; References; Brand Experience and Customer Equity Prediction; Introduction; Literature Review; Experiential Marketing and Brand Experience; Customer Equity |
| Brand Experience Contact PointHypotheses and Framework; Methodology; Measures; Research Design; Results and Analysis; Conclusions and Implications; Conclusions; Managerial Implications; Limitations and Further Research; References; A Comparative Evaluation of Intermittent Demand Forecasting with Updated Smoothing Constants; Introduction; Literature Review; Croston's Method; Single Exponential Smoothing; ARIMA Model; Simulation Description; Discussion of Results and Conclusions; References; Part II: Forecasting in Health Care | |
| Forecasting Pain and Discomfort for Canines with Disease for Establishing Appropriate Medication LevelsIntroduction; Literature; Validate Activity Monitors; Studies Utilizing Activity Monitors; Predictive Technique for Arthritis; Prediction of Oral Mucositis; Pain and Hemangiosarcoma; Data Overview; Analysis; Conclusions; References; Appendix A: Data Fields with Survey Questions; Appendix B: Outlier Report and ANOVA Output; Appendix C: Regression Output; Regression Average.Activity; Nominal Logistic Fit for Study; Nominal Logistic Fit for Before.Treatment | |
| Honing a Predictive Model to Accurately Forecast the Number of Bed Days Needed to Cover Patient Volume for a Large Hospital...Introduction; Literature Review; The Data; Graphical Analysis; Statistical Analysis; Results; Conclusions; References; Can Rationality of USDA's Fixed-Event Crop Forecasts be Improved?; Introduction; Data; Methods; Fixed-Event Forecast Efficiency; Correction for Inefficiency; The Basic Correction Procedure; Outlier Detection; Forecast Size and Direction; Stability of Revision Inefficiency over Time; Performance Evaluation; Results; Forecast Revision Efficiency | |
| Correction for Revision InefficiencyThe Basic Correction Procedure; Outlier Detection; Forecast Size and Direction; Stability of Revision Inefficiency over Time; Summary and Conclusions; Notes; References; Part III: Forecasting in Business and Economics; Business School Forecasting for the Real World; Introduction; Literature Review; Methodology; Findings; RQ 1. To what extent do business schools have a class dedicated to teaching forecasting?; RQ 2. For business schools that teach forecasting, is it being taught as a stand-alone course or as part of another course? | |
| RQ 3. To what extent are business schools using Excel/spreadsheets to teach forecasting? | |
| Sommario/riassunto: | Volume 11 of Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to areas including Marketing and Sales, Health Care and Business and Economics. |
| Titolo autorizzato: | Advances in business and management forecasting ![]() |
| ISBN: | 1-78635-533-7 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910466001503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |