Advances in Business and Management Forecasting

AvKenneth D. Lawrence,Ronald K. Klimberg

Inbunden, Engelska, 2021

Del 14 i serien Advances in Business and Management Forecasting

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Beskrivning

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, forecasting improvement with interpolation and cluster analysis.This is a key text for academics and researchers of financial forecasting, market demand forecasting and executive compensation forecasting.

Produktinformation

Utgivningsdatum:2021-09-01
Mått:152 x 229 x 15 mm
Vikt:388 g
Format:Inbunden
Språk:Engelska
Serie:Advances in Business and Management Forecasting
Antal sidor:184
Förlag:Emerald Publishing Limited
ISBN:9781839820915

Utforska kategorier

Ledarskap och motivation inom Ekonomi och Ledarskap

Mer om författaren

Kenneth D. Lawrence is a Professor Management Science and Business Analytics at the Tuchman School of Management at the New Jersey Institute of Technology. Ronald K. Klimberg is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph's University.

Innehållsförteckning

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