Employee turnover forecasting for human resource management based on time series analysis

DOI10.1080/02664763.2016.1214242OpenAlexW2492245480MaRDI QIDQ5138635

Shuguang Ji, Xiaojuan Zhu, Rapinder Sawhney, Bruce Holt, William L. Seaver, Girish Upreti, Gurudatt Bhaskar Sanil

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1214242

zbMATH Keywords

forecasttime seriesturnoverhuman resource management

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• CRAN Task Views

Cites Work

• Unnamed Item
• Time series forecasting using a hybrid ARIMA and neural network model
• Forecasting Sales by Exponentially Weighted Moving Averages
• Employee turnover: a neural network solution
• Robust nonlinear data smoothers: Definitions and recommendations
• Time-Series Forecasting
• Short-term electricity demand forecasting using double seasonal exponential smoothing

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