The Resource Advances in business and management forecasting, Volume 11, edited by Kenneth D. Lawrence, Ronald K. Klimberg

Advances in business and management forecasting, Volume 11, edited by Kenneth D. Lawrence, Ronald K. Klimberg

Label
Advances in business and management forecasting, Volume 11
Title
Advances in business and management forecasting
Title number
Volume 11
Statement of responsibility
edited by Kenneth D. Lawrence, Ronald K. Klimberg
Creator
Contributor
Subject
Language
eng
Summary
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
Cataloging source
NhCcYBP
http://library.link/vocab/creatorName
Lawrence, Kenneth D
Index
no index present
LC call number
HD30.27
LC item number
.A38 vol. 11
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Klimberg, Ronald K
  • Ebooks Corporation
http://library.link/vocab/subjectName
  • Business forecasting
  • Industrial management
Label
Advances in business and management forecasting, Volume 11, edited by Kenneth D. Lawrence, Ronald K. Klimberg
Instantiates
Publication
Note
Print version cataloged as a continuing resource by the Library of Congress
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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?
Dimensions
unknown
Edition
First edition.
Extent
1 online resource.
Form of item
online
Isbn
9781786355331
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
Stock number
  • 99968739261
  • 945366
System control number
(NhCcYBP)12974110
Label
Advances in business and management forecasting, Volume 11, edited by Kenneth D. Lawrence, Ronald K. Klimberg
Publication
Note
Print version cataloged as a continuing resource by the Library of Congress
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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?
Dimensions
unknown
Edition
First edition.
Extent
1 online resource.
Form of item
online
Isbn
9781786355331
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
Stock number
  • 99968739261
  • 945366
System control number
(NhCcYBP)12974110

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