Advances in business and management forecasting. Vol. 14 /

Volume 14, 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 in such areas as financial forecasting, market demand analysis, executive compensation forecasting, data analysis, f...

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Bibliographic Details
Other Authors Lawrence, Kenneth D. (Editor), Klimberg, Ronald K. (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K. : Emerald Publishing Limited, 2021.
SeriesAdvances in business and management forecasting.
Subjects
Business forecasting.
Business & Economics > Forecasting.
Business strategy.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781839820922
DOI10.1108/S1477-4070202114
Physical Description1 online resource (232 pages).

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Table of Contents:
  • A. Forecasting methods and applications I
  • Chapter 1. The predictive power of investor sentiment on U.S. equity market performance / Matthew Steves, Son Nguyen, John Quinn, and Alan Olinsky
  • Chapter 2. A regression model to forecast the compensation of top level executives at MetLife / Kenneth D. Lawrence and Sheila M. Lawrence
  • Chapter 3. Forecasting seasonal products: a case of ice cream sales / Divyanshi Trakran
  • Chapter 4. Predicting the length of stay in hospital emergency rooms in Rhode Island / Alicia Lamere, Son Nguyen, Gao Niu, Alan Olinsky, and John Quinn / B. Forecasting methods and applications II
  • Chapter 5. Effects of resampling techniques on imbalanced data classification: a new under-resampling method / Son Nguyen, Phyllis Schumacher, Alan Olinsky, and John Quinn
  • Chapter 6. Development of a method to improve statistical forecasts using interpolation and cluster analysis / Ronald K. Klimberg and Samuel Ratick
  • Chapter 7. Performance measures of products with multiple characteristics utilizing unit costs of nonconformance / Amitava Mitra
  • Chapter 8. Competing forecasting techniques produces different optimal solutions based on the product / John L. Stanton and Stephen L. Baglione / C. COVID-19 trend analysis
  • Chapter 9. Exploring the trend of COVID-19 treatment efficiency in Chinese provinces in 2020 by using DEA and regression analysis / Feng Yang, Zhen Bi, Fangqing Wei, and Zhimin Huang
  • Chapter 10. The impact of international price on the technological industry in the USA and China during times of crisis: commercial war and COVID-19 / Lisset-Vanesa Apcho-Ccencho, Berdy-Briggitte Cuya-Velásquez, Diego Alvarado Rodríguez, María de las Mercedes Anderson-Seminario, Aldo Alvarez-Risco, Alfredo Estrada-Merino, and Sabina Mlodzianowska
  • Chapter 11. Price variation in lower goods as of previous economic crisis and the contrast of the current price situation in the context of COVID-19 in Peru / María-Alejandra Leiva-Martinez, María de las Mercedes Anderson-Seminario, Aldo Alvarez-Risco, Alfredo Estrada-Merino, and Sabina Mlodzianowska.

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