Demand Forecasting New Fashion Products: A Review Paper
Fuente:
Wiley Open Access
Enregistré dans:
| Auteurs principaux: | Anitha S., Neelakandan R. |
|---|---|
| Format: | Artículo Open Access |
| Publié: |
Wiley
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Potential Demand Forecasting for Steel Products in Spot Markets Using a Hybrid SARIMA‐LSSVM Approach
par: Junting Huang, et autres
Publié: (2025)
par: Junting Huang, et autres
Publié: (2025)
Enhancing Demand Forecasting in Retail: A Comprehensive Analysis of Sales Promotional Effects on the Entire Demand Life Cycle
par: Harsha Chamara Hewage, et autres
Publié: (2025)
par: Harsha Chamara Hewage, et autres
Publié: (2025)
Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
par: Malte C. Tichy, et autres
Publié: (2025)
par: Malte C. Tichy, et autres
Publié: (2025)
Medium‐ to Long‐Term Demand Forecasting in Retail and Manufacturing Organizations: Integration of Machine Learning, Human Judgment, and Interval Variable
par: Sushil Punia
Publié: (2025)
par: Sushil Punia
Publié: (2025)
A Review of Methods for Long‐Term Electric Load Forecasting
par: Thangjam Aditya, et autres
Publié: (2024)
par: Thangjam Aditya, et autres
Publié: (2024)
A New Proposal for Forecasting Inflation in the Eurozone: A Global Model
par: Georgios Angelopoulos, et autres
Publié: (2026)
par: Georgios Angelopoulos, et autres
Publié: (2026)
Forecasting Energy Efficiency in Manufacturing: Impact of Technological Progress in Productive Service and Commodity Trades
par: Zixiang Wei, et autres
Publié: (2025)
par: Zixiang Wei, et autres
Publié: (2025)
A New Multivariate Decomposition–Ensemble Approach With Multisource Heterogeneous Data for Crude Oil Price Forecasting
par: Zhengling Zhao, et autres
Publié: (2026)
par: Zhengling Zhao, et autres
Publié: (2026)
A Novel Approach to Forecasting After Large Forecast Errors
par: Jennifer L. Castle, et autres
Publié: (2025)
par: Jennifer L. Castle, et autres
Publié: (2025)
Whether Uncertainty Theory Can Enhance GDP Forecasting From Energy: A New Uncertain MIDAS Model
par: Yuxin Shi, et autres
Publié: (2025)
par: Yuxin Shi, et autres
Publié: (2025)
Fiscal Forecasting Rationality Among Expert Forecasters
par: Belen Chocobar, et autres
Publié: (2024)
par: Belen Chocobar, et autres
Publié: (2024)
Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market
par: Pietro Giorgio Lovaglio, et autres
Publié: (2026)
par: Pietro Giorgio Lovaglio, et autres
Publié: (2026)
Forecasting in turbulent times
par: Nikolaos Giannellis, et autres
Publié: (2024)
par: Nikolaos Giannellis, et autres
Publié: (2024)
Macroeconomic and Financial Forecasting in the Aftermath of the Covid Shock: Inflation Forecasting With Large Language Models
par: Nikolaos Giannellis, et autres
Publié: (2026)
par: Nikolaos Giannellis, et autres
Publié: (2026)
Crossproduct Effect and Volatility Forecasting
par: Jiafu Xu, et autres
Publié: (2024)
par: Jiafu Xu, et autres
Publié: (2024)
Coherent Forecasting of Realized Volatility
par: Marius Puke, et autres
Publié: (2026)
par: Marius Puke, et autres
Publié: (2026)
Stock Return Forecasting: A Supervised PCA With Selecting and Scaling
par: Ting Zhang, et autres
Publié: (2025)
par: Ting Zhang, et autres
Publié: (2025)
Nonstationary Functional Time Series Forecasting
par: Han Lin Shang, et autres
Publié: (2024)
par: Han Lin Shang, et autres
Publié: (2024)
Forecasting and Pricing in the Carbon Credits Market
par: Yiyang Chen, et autres
Publié: (2026)
par: Yiyang Chen, et autres
Publié: (2026)
Mortality Forecasting Using Variational Inference
par: Patrik Andersson, et autres
Publié: (2025)
par: Patrik Andersson, et autres
Publié: (2025)
Forecasting and Modeling Macroeconomic Vulnerabilities in CESEE
par: Florian Huber, et autres
Publié: (2025)
par: Florian Huber, et autres
Publié: (2025)
Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts
par: Katja Heinisch
Publié: (2024)
par: Katja Heinisch
Publié: (2024)
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
par: Easton Huch, et autres
Publié: (2026)
par: Easton Huch, et autres
Publié: (2026)
Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting
par: Felix Haag, et autres
Publié: (2025)
par: Felix Haag, et autres
Publié: (2025)
Visualizing Uncertainty in Time Series Forecasts: The Impact of Uncertainty Visualization on Users' Confidence, Algorithmic Advice Utilization, and Forecasting Performance
par: Dirk Leffrang, et autres
Publié: (2024)
par: Dirk Leffrang, et autres
Publié: (2024)
Forecasting carbon emissions using asymmetric grouping
par: Didier Nibbering, et autres
Publié: (2024)
par: Didier Nibbering, et autres
Publié: (2024)
Trade and Economic Activity: Nonlinear Modeling and Forecasting
par: Alessandro Borin, et autres
Publié: (2024)
par: Alessandro Borin, et autres
Publié: (2024)
Forecasting House Prices: The Role of Market Interconnectedness
par: Zac Chen, et autres
Publié: (2026)
par: Zac Chen, et autres
Publié: (2026)
Threshold MIDAS Forecasting of Canadian Inflation Rate
par: Chaoyi Chen, et autres
Publié: (2025)
par: Chaoyi Chen, et autres
Publié: (2025)
Forecasting With Machine Learning Shadow‐Rate VARs
par: Michael Grammatikopoulos
Publié: (2025)
par: Michael Grammatikopoulos
Publié: (2025)
Optimal Variance Forecasting in a Trading Context
par: Nick Taylor
Publié: (2025)
par: Nick Taylor
Publié: (2025)
Forecasting Inflation in the Presence of Structural Breaks: A Time‐Varying Parameter Approach
par: Stephen G. Hall, et autres
Publié: (2026)
par: Stephen G. Hall, et autres
Publié: (2026)
Robust Prediction Intervals for Time Series Forecasting: A Bootstrap and Bayesian Approach
par: Betty X.Y. Chu, et autres
Publié: (2026)
par: Betty X.Y. Chu, et autres
Publié: (2026)
Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques
par: Soňa Benecká
Publié: (2026)
par: Soňa Benecká
Publié: (2026)
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
par: Adam Clements, et autres
Publié: (2026)
par: Adam Clements, et autres
Publié: (2026)
Regime‐Switching Density Forecasts Using Economists' Scenarios
par: Graziano Moramarco
Publié: (2024)
par: Graziano Moramarco
Publié: (2024)
Forecasting food price inflation during global crises
par: Patricia Toledo, et autres
Publié: (2024)
par: Patricia Toledo, et autres
Publié: (2024)
Forecasting healthcare service volumes with machine learning algorithms
par: Dong‐Hui Yang, et autres
Publié: (2024)
par: Dong‐Hui Yang, et autres
Publié: (2024)
Forecasting Equity Premium in the Face of Climate Policy Uncertainty
par: Hyder Ali, et autres
Publié: (2024)
par: Hyder Ali, et autres
Publié: (2024)
Forecasting Beta Using Ultra High Frequency Data
par: Jian Zhou
Publié: (2024)
par: Jian Zhou
Publié: (2024)
Documents similaires
-
Potential Demand Forecasting for Steel Products in Spot Markets Using a Hybrid SARIMA‐LSSVM Approach
par: Junting Huang, et autres
Publié: (2025) -
Enhancing Demand Forecasting in Retail: A Comprehensive Analysis of Sales Promotional Effects on the Entire Demand Life Cycle
par: Harsha Chamara Hewage, et autres
Publié: (2025) -
Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
par: Malte C. Tichy, et autres
Publié: (2025) -
Medium‐ to Long‐Term Demand Forecasting in Retail and Manufacturing Organizations: Integration of Machine Learning, Human Judgment, and Interval Variable
par: Sushil Punia
Publié: (2025) -
A Review of Methods for Long‐Term Electric Load Forecasting
par: Thangjam Aditya, et autres
Publié: (2024)