Advances in Business and Management Forecasting.:
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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Emerald Group Publishing Limited,
2016.
|
| Schriftenreihe: | Advances in Business and Management Forecasting ;
v. 11 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource |
| ISBN: | 1786355337 9781786355331 9781786355348 1786355345 |
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| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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? | |
| 520 | |a 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. | ||
| 650 | 0 | |a Business forecasting. | |
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| collection | ZDB-4-EBA |
| contents | 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? |
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| id | ZDB-4-EBA-ocn956520798 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:27:20Z |
| institution | BVB |
| isbn | 1786355337 9781786355331 9781786355348 1786355345 |
| language | English |
| oclc_num | 956520798 |
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| publisher | Emerald Group Publishing Limited, |
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| series2 | Advances in Business and Management Forecasting ; |
| spelling | Lawrence, Kenneth D. https://id.oclc.org/worldcat/entity/E39PCjKhrXdcxhwxvxg9g7D8YP http://id.loc.gov/authorities/names/n86827486 Advances in Business and Management Forecasting. Emerald Group Publishing Limited, 2016. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Advances in Business and Management Forecasting ; v. 11 Print version record. 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? 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. Business forecasting. Prévision commerciale. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business forecasting fast has work: Advances in business and management forecasting (Text) https://id.oclc.org/worldcat/entity/E39PCGVXXyHBw4FgVg7FtK9JWC https://id.oclc.org/worldcat/ontology/hasWork Erscheint auch als: Druck-Ausgabe Lawrence, Kenneth D. Advances in Business and Management Forecasting FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1335898 Volltext |
| spellingShingle | Lawrence, Kenneth D. Advances in Business and Management Forecasting. 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? Business forecasting. Prévision commerciale. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business forecasting fast |
| title | Advances in Business and Management Forecasting. |
| title_auth | Advances in Business and Management Forecasting. |
| title_exact_search | Advances in Business and Management Forecasting. |
| title_full | Advances in Business and Management Forecasting. |
| title_fullStr | Advances in Business and Management Forecasting. |
| title_full_unstemmed | Advances in Business and Management Forecasting. |
| title_short | Advances in Business and Management Forecasting. |
| title_sort | advances in business and management forecasting |
| topic | Business forecasting. Prévision commerciale. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business forecasting fast |
| topic_facet | Business forecasting. Prévision commerciale. BUSINESS & ECONOMICS Industrial Management. BUSINESS & ECONOMICS Management. BUSINESS & ECONOMICS Management Science. BUSINESS & ECONOMICS Organizational Behavior. Business forecasting |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1335898 |
| work_keys_str_mv | AT lawrencekennethd advancesinbusinessandmanagementforecasting |