Reference health
Wielding Occam's razor: Fast and frugal retail forecasting
58/58 checkable references clean · checked 2026-09-15
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
33 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 58 checked references that resolve
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Tree-based methods for clustering time series using domain-relevant attributes
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A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
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Significance levels of the Box-Pierce portmanteau statistic in finite samples
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Analytics for an Online Retailer: Demand Forecasting and Price Optimization
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Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning
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New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program
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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
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Judgmental forecasts of time series affected by special events: does providing a statistical forecast improve accuracy?
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AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
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Interpreting partial autocorrelation functions of seasonal time series models
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Forecasting seasonals and trends by exponentially weighted moving averages
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Forecasting autoregressive time series with bias-corrected parameter estimators
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Combining exponential smoothing forecasts using Akaike weights
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Evaluating predictive count data distributions in retail sales forecasting
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The likelihood function of stationary autoregressive-moving average models
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The accuracy of extrapolation (time series) methods: Results of a forecasting competition
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The M4 Competition: 100,000 time series and 61 forecasting methods
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The exact likelihood function for a mixed autoregressive-moving average process
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Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models
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Communications to the Editor—Exponential Forecasting: Some New Variations
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A Simple Noncalculus Proof That the Median Minimizes the Sum of the Absolute Deviations
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Out-of-sample tests of forecasting accuracy: an analysis and review
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A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center
The 33 references without a DOI — listed, not checked
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no DOI — not checkedData aggregation and demand prediction
no DOI — not checkedForecasting time series with complex seasonal patterns using exponential smoothing
no DOI — not checkedAlexandros Nikas. 2021. Low-cost emissions cuts in container shipping: Thinking inside the box
no DOI — not checkedMeasuring Moore's Law: Evidence from Price
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no DOI — not checkedFVA: A reality check on forecasting practices
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no DOI — not checkedAutomatic time series forecasting: The forecast package for R
no DOI — not checkedA state space framework for automatic forecasting using exponential smoothing methods
no DOI — not checkedSimple averaging of direct and recursive forecasts via partial pooling using machine learning
no DOI — not checkedLightgbm: A highly efficient gradient boosting decision tree
no DOI — not checkedCommentary on the M5 forecasting competition
no DOI — not checkedRetail sales forecasting with meta-learning
no DOI — not checkedStatistical and machine learning forecasting methods: Concerns and ways forward
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no DOI — not checkedVassilios Assimakopoulos. 2022b. The M5 competition: Background, organization, and implementation
no DOI — not checkedThe m5 uncertainty competition: Results, findings and conclusions
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no DOI — not checkedOn the order determination of ARIMA models
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no DOI — not checkedRetail sales forecasting at walmart
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no DOI — not checkedApplicability of the M5 to Forecasting at Walmart
no DOI — not checkedInvestigating the accuracy of cross-learning time series forecasting methods
no DOI — not checkedComparison of statistical and machine learning methods for daily SKU demand forecasting
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no DOI — not checkedForecasting at scale: The architecture of a modern retail forecasting system
no DOI — not checkedOn a method of investigating periodicities in disturbed series, with special reference to wolfer's sunspot numbers
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