Regression Forecasting Models
Regression Forecasting Models is a statistical modeling approach that belongs to the class of quantitative forecasting methods, distinguished by its use of regression analysis to estimate the relationships between dependent workforce demand variables and one or more independent predictor variables for the purpose of projecting future labor requirements.
199
Publications
8.4K
Citations
501
Authors
271
Institutions
Publications per year
2017–2026
56
Parents
199
Forecasting and Time Series: An Applied Approach
Eric R. Ziegel · Technometrics · 1994 · 324 citations
A comparative analysis on linear regression and support vector regression
S. Kavitha, S. Varuna, R. Ramya · 2016 · 270 citations
Computing, Data Science, Finance +17
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271

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
6 publications
155 citations

Pennsylvania State University
State College, United States
3 h-index
4 publications
432 citations
Decision Sciences (United States)
Fort Walton Beach, United States
3 h-index
3 publications
271 citations
Istanbul University
Istanbul, Türkiye
2 h-index
1 publications
15 citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
2 publications
82 citations
Xi'an University of Technology
Xi'an, China
2 h-index
4 publications
48 citations
University of Wales
Cardiff, United Kingdom
2 h-index
2 publications
221 citations

Hsuan Chuang University
Hsinchu, Taiwan
2 h-index
2 publications
67 citations
1–8 of 271
7 publications · 177 citations
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Repository · 6 publications · 321 citations
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5 publications · 396 citations
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5 publications · 207 citations
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4 publications · 140 citations
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