Ralph David Snyder : Citation Profile

Are you Ralph David Snyder?

Monash University

14

H index

15

i10 index

761

Citations

RESEARCH PRODUCTION:

33

Articles

42

Papers

RESEARCH ACTIVITY:

   46 years (1971 - 2017). See details.
   Cites by year: 16
   Journals where Ralph David Snyder has often published
   Relations with other researchers
   Recent citing documents: 64.    Total self citations: 37 (4.64 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/psn11
   Updated: 2024-11-04    RAS profile: 2020-02-05    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Ralph David Snyder.

Is cited by:

Hyndman, Rob (73)

Athanasopoulos, George (22)

Li, Feng (11)

Nikolopoulos, Konstantinos (10)

Song, Haiyan (9)

Gooijer, Jan G. (9)

de Silva, Ashton (8)

Thomakos, Dimitrios (7)

Shang, Han Lin (7)

Castle, Jennifer (7)

Hendry, David (7)

Cites to:

Ord, John (53)

Hyndman, Rob (40)

Harvey, Andrew (21)

Nelson, Charles (14)

Heinen, Andréas (11)

Martin, Gael (10)

McCabe, Brendan (9)

Engle, Robert (9)

Morley, James (7)

King, Maxwell (6)

Campbell, John (6)

Main data

Where Ralph David Snyder has published?

Journals with more than one article published# docs
International Journal of Forecasting12
European Journal of Operational Research6
Journal of Forecasting2
Journal of the Operational Research Society2

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics37

Recent works citing Ralph David Snyder (2024 and 2023)

YearTitle of citing document
2024GDP nowcasting with artificial neural networks: How much does long-term memory matter?. (2023). Hadh, D'Aniel. In: Papers. RePEc:arx:papers:2304.05805.

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2024Supervised Autoencoder MLP for Financial Time Series Forecasting. (2024). Ślepaczuk, Robert ; Bieganowski, Bartosz. In: Papers. RePEc:arx:papers:2404.01866.

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2023Econometric Forecasting of Tourist Arrivals Using Bayesian Structural Time?Series. (2023). Kimpton, Sean ; Andrews, Antony. In: Economic Papers. RePEc:bla:econpa:v:42:y:2023:i:2:p:200-211.

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2023Parameter least-squares estimation for time-inhomogeneous Ornstein–Uhlenbeck process. (2023). Getut, Pramesti. In: Monte Carlo Methods and Applications. RePEc:bpj:mcmeap:v:29:y:2023:i:1:p:1-32:n:5.

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2023A validation workflow for mortality forecasting. (2023). Bohk-Ewald, Christina ; Scholey, Jonas ; Duerst, Ricarda. In: MPIDR Working Papers. RePEc:dem:wpaper:wp-2023-020.

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2024A robust Beveridge–Nelson decomposition using a score-driven approach with an application. (2024). Koopman, S J ; Gorgi, P ; van Brummelen, J ; Blasques, F. In: Economics Letters. RePEc:eee:ecolet:v:236:y:2024:i:c:s0165176524000715.

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2023A new taxonomy for vector exponential smoothing and its application to seasonal time series. (2023). Boylan, John E ; Chen, Huijing ; Svetunkov, Ivan. In: European Journal of Operational Research. RePEc:eee:ejores:v:304:y:2023:i:3:p:964-980.

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2023Lumpy and intermittent retail demand forecasts with score-driven models. (2023). Borenstein, Denis ; Fernandes, Cristiano ; Sarlo, Rodrigo. In: European Journal of Operational Research. RePEc:eee:ejores:v:307:y:2023:i:3:p:1146-1160.

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2023Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life?. (2023). Oliveira, Fabricio ; Vilkkumaa, Eeva ; Ihalainen, Jarkko ; Arvas, Mikko ; Vauhkonen, Ilmari ; Dillon, Mary. In: European Journal of Operational Research. RePEc:eee:ejores:v:310:y:2023:i:2:p:640-654.

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2024On the update frequency of univariate forecasting models. (2024). Petropoulos, Fotios ; Spiliotis, Evangelos. In: European Journal of Operational Research. RePEc:eee:ejores:v:314:y:2024:i:1:p:111-121.

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2024When is the next order? Nowcasting channel inventories with Point-of-Sales data to predict the timing of retail orders. (2024). Hoberg, Kai ; Schlaich, Tim. In: European Journal of Operational Research. RePEc:eee:ejores:v:315:y:2024:i:1:p:35-49.

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2024Combining probabilistic forecasts of intermittent demand. (2024). Petropoulos, Fotios ; Kang, Yanfei ; Wang, Shengjie. In: European Journal of Operational Research. RePEc:eee:ejores:v:315:y:2024:i:3:p:1038-1048.

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2023A Comparison Study of Predictive Models for Electricity Demand in a Diverse Urban Environment. (2023). Lee, Christopher ; Li, Binbin ; Pesantez, Jorge E ; Stillwell, Ashlynn S ; Butala, Mark ; Zhao, Zhizhen. In: Energy. RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025367.

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2023AE-ACG: A novel deep learning-based method for stock price movement prediction. (2023). Cheng, Zhonghou ; Huang, Xiaoyong ; Li, Shicheng ; Yi, Yugen ; Zou, Wei. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323006761.

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2023The RWDAR model: A novel state-space approach to forecasting. (2023). Silvestrini, Andrea ; Sbrana, Giacomo. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:922-937.

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2023Distributed ARIMA models for ultra-long time series. (2023). Li, Feng ; Hyndman, Rob ; Kang, Yanfei ; Wang, Xiao Qian. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1163-1184.

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2023fETSmcs: Feature-based ETS model component selection. (2023). Jia, Suling ; Wang, Qiang ; Li, Xixi ; Qi, Lingzhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1303-1317.

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2023Improving forecast stability using deep learning. (2023). Verbeke, Wouter ; Crevits, Ruben ; van Belle, Jente. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1333-1350.

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2023Shrinkage estimator for exponential smoothing models. (2023). Kourentzes, Nikolaos ; Svetunkov, Ivan ; Pritularga, Kandrika F. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1351-1365.

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2024Data-driven inventory policy: Learning from sequentially observed non-stationary data. (2024). Shen, Zuo-Jun Max ; Bidkhori, Hoda ; Ren, KE. In: Omega. RePEc:eee:jomega:v:123:y:2024:i:c:s0305048323001068.

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2023What do consumers want? A methodological framework to identify determinant product attributes from consumers’ online questions. (2023). Aw, Eugene Cheng-Xi ; Fernando, Angeline Gautami. In: Journal of Retailing and Consumer Services. RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923000826.

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2024Seasonality in U.S. disability applications, labor market, and the pandemic echoes. (2024). Yin, Yimeng ; Lahiri, Kajal. In: Labour Economics. RePEc:eee:labeco:v:87:y:2024:i:c:s092753712400006x.

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2023Data-driven demand forecast for O2O operations: An adaptive hierarchical incremental approach. (2023). Zhou, Weihua ; Chen, Songlin ; Xiao, Qin ; Dai, Hongyan. In: International Journal of Production Economics. RePEc:eee:proeco:v:259:y:2023:i:c:s0925527323000658.

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2023iETS: State space model for intermittent demand forecasting. (2023). Boylan, John E ; Svetunkov, Ivan. In: International Journal of Production Economics. RePEc:eee:proeco:v:265:y:2023:i:c:s0925527323002451.

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2023On spare parts demand and the installed base concept: A theoretical approach. (2023). Frenk, J. B. G., ; Amniattalab, Ayda ; Hekimolu, Mustafa. In: International Journal of Production Economics. RePEc:eee:proeco:v:266:y:2023:i:c:s092552732300275x.

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2023How does exchange rate elasticity of aggregate consumption adjust currency risk price in the stock market?. (2023). Li, Huashi ; Chen, Qi-An. In: International Review of Economics & Finance. RePEc:eee:reveco:v:84:y:2023:i:c:p:590-610.

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2023Comparing the Simple to Complex Automatic Methods with the Ensemble Approach in Forecasting Electrical Time Series Data. (2023). Yudhanto, Yudho ; Sulandari, Winita ; Rodrigues, Paulo Canas ; Hapsari, Riskhia ; Setiawan, Crisma Devika ; Subanti, Sri. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:22:p:7495-:d:1276497.

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2023Probabilistic Intraday PV Power Forecast Using Ensembles of Deep Gaussian Mixture Density Networks. (2023). Ament, Christoph ; Amthor, Arvid ; Klinkenberg, Nico ; Doelle, Oliver. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:646-:d:1025957.

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2023Intervention Time Series Analysis and Forecasting of Organ Donor Transplants in the US during the COVID-19 Era. (2023). Lu, Qiqi ; Malladi, Supraja. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:13-255:d:1072833.

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2023Forecasting Waste Mobile Phone (WMP) Quantity and Evaluating the Potential Contribution to the Circular Economy: A Case Study of Turkey. (2023). Gungor, Askiner ; Bogar, Zeynep Ozsut. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:3104-:d:1062118.

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2023Air Pollution Prediction Based on Discrete Wavelets and Deep Learning. (2023). Hu, Chentao ; Tao, Lingbing ; Ding, Chengfu ; Shu, Ying ; Tie, Zhixin. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:9:p:7367-:d:1135696.

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2024Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability. (2024). Paul, Sanjoy Kumar ; Kabir, Golam ; Ur, Amanat ; Ali, Syed Mithun. In: Sustainability. RePEc:gam:jsusta:v:16:y:2024:i:6:p:2373-:d:1356232.

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2024Fueling the Future: A Comprehensive Analysis and Forecast of Fuel Consumption Trends in U.S. Electricity Generation. (2024). Razzaghi, Talayeh ; Alawee, Syed Ishmam ; Sakib, Ahmed Nazmus ; Hossain, Md Monjur. In: Sustainability. RePEc:gam:jsusta:v:16:y:2024:i:6:p:2388-:d:1356364.

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2023Bombardier Aftermarket Demand Forecast with Machine Learning. (2023). Hamilton, William L ; Lemaitre, Paul ; Grangier, Philippe ; Gauthier, Lea ; Alamdari, Neda Etebari ; Adulyasak, Yossiri ; Xiao, Jingyi ; Dodin, Pierre. In: Interfaces. RePEc:inm:orinte:v:53:y:2023:i:6:p:425-445.

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2023Forecast Selection and Representativeness. (2023). Siemsen, Enno ; Petropoulos, Fotios. In: Management Science. RePEc:inm:ormnsc:v:69:y:2023:i:5:p:2672-2690.

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2023Automatic Time Series Forecasting: The forecast Package for R. (2008). Hyndman, Rob ; Khandakar, Yeasmin. In: Journal of Statistical Software. RePEc:jss:jstsof:27:i03.

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2023Does demand forecasting matter to retailing?. (2023). Veiga, Claudimar Pereira ; Almeida, Wesley Marcos. In: Journal of Marketing Analytics. RePEc:pal:jmarka:v:11:y:2023:i:2:d:10.1057_s41270-022-00162-x.

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2023The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China. (2023). Wu, XI ; Blake, Adam. In: SAGE Open. RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440231152444.

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2023Does the combination of models with different explanatory variables improve tourism demand forecasting performance?. (2023). Blake, Adam ; Wu, XI. In: Tourism Economics. RePEc:sae:toueco:v:29:y:2023:i:8:p:2032-2056.

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2023Nowcasting Japan’s GDP. (2023). Tachi, Yuta ; Hayashi, Fumio. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:4:d:10.1007_s00181-022-02301-w.

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2023Semiparametric estimation of INAR models using roughness penalization. (2023). Aleksandrov, Boris ; Weiss, Christian H ; Jentsch, Carsten ; Faymonville, Maxime. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:32:y:2023:i:2:d:10.1007_s10260-022-00655-0.

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2023Exponential smoothing forecasts: Taming the Bullwhip Effect when demand is seasonal. (2022). Fransoo, Jan C ; Vatamidou, Eleni ; Udenio, Maximiliano. In: Other publications TiSEM. RePEc:tiu:tiutis:8fca6329-83b9-4a49-a2aa-e4e959d4f761.

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2024Empirical prediction intervals for additive Holt–Winters methods under misspecification. (2024). Yau, Chun Yip ; Tang, Xinyi ; Yang, Boning. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:3:p:754-770.

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Works by Ralph David Snyder:

YearTitleTypeCited
2001Prediction Intervals for ARIMA Models. In: Journal of Business & Economic Statistics.
[Citation analysis]		article5
1997Prediction Intervals for Arima Models.(1997) In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]
This paper has nother version. Agregated cites: 5		paper
1989 A Review of the Forecasting Package Stamp. In: Journal of Economic Surveys.
[Citation analysis]		article0
1996INITIALIZATION OF THE KALMAN FILTER WITH PARTIALLY DIFFUSE INITIAL CONDITIONS In: Journal of Time Series Analysis.
[Full Text][Citation analysis]		article6
2003Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series In: Studies in Nonlinear Dynamics & Econometrics.
[Full Text][Citation analysis]		article1
2002Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series.(2002) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 1		paper
2004Single Source of Error State Space Approach to the Beveridge Nelson Decomposition In: Econometric Society 2004 Australasian Meetings.
[Full Text][Citation analysis]		paper25
2006Single source of error state space approach to the Beveridge Nelson decomposition.(2006) In: Economics Letters.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 25		article
2005Single source of error state space approach to the Beveridge Nelson decomposition.(2005) In: CAMA Working Papers.
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This paper has nother version. Agregated cites: 25		paper
2004Single Source of Error State Space Approach to the Beveridge Nelson Decomposition.(2004) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 25		paper
2009A multivariate innovations state space Beveridge-Nelson decomposition In: Economic Modelling.
[Full Text][Citation analysis]		article2
2002Forecasting sales of slow and fast moving inventories In: European Journal of Operational Research.
[Full Text][Citation analysis]		article40
1999Forecasting Sales of Slow and Fast Moving Inventories..(1999) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 40		paper
2004Exponential smoothing models: Means and variances for lead-time demand In: European Journal of Operational Research.
[Full Text][Citation analysis]		article11
1984Inventory control with the gamma probability distribution In: European Journal of Operational Research.
[Full Text][Citation analysis]		article3
2008Forecasting time series with multiple seasonal patterns In: European Journal of Operational Research.
[Full Text][Citation analysis]		article46
1989Control of inventories with intermittent demand In: European Journal of Operational Research.
[Full Text][Citation analysis]		article19
1982Robust time series analysis In: European Journal of Operational Research.
[Full Text][Citation analysis]		article1
1997Trends, lead times and forecasting In: International Journal of Forecasting.
[Full Text][Citation analysis]		article1
1996Trends, Lead Times and Forecasting..(1996) In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]
This paper has nother version. Agregated cites: 1		paper
2001Forecasting models and prediction intervals for the multiplicative Holt-Winters method In: International Journal of Forecasting.
[Full Text][Citation analysis]		article25
1999Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method..(1999) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 25		paper
2002Forecasting for inventory control with exponential smoothing In: International Journal of Forecasting.
[Full Text][Citation analysis]		article18
1999Forecasting for Inventory Control with Exponential Smoothing..(1999) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 18		paper
2002A state space framework for automatic forecasting using exponential smoothing methods In: International Journal of Forecasting.
[Full Text][Citation analysis]		article267
2000A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods..(2000) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 267		paper
2006Exponential smoothing model selection for forecasting In: International Journal of Forecasting.
[Full Text][Citation analysis]		article38
2005Exponential Smoothing Model Selection for Forecasting.(2005) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 38		paper
2006Discussion In: International Journal of Forecasting.
[Full Text][Citation analysis]		article0
2009Monitoring processes with changing variances In: International Journal of Forecasting.
[Full Text][Citation analysis]		article1
2008Monitoring Processes with Changing Variances.(2008) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 1		paper
2009Incorporating a tracking signal into a state space model In: International Journal of Forecasting.
[Full Text][Citation analysis]		article1
2012A study of outliers in the exponential smoothing approach to forecasting In: International Journal of Forecasting.
[Full Text][Citation analysis]		article4
2012Forecasting the intermittent demand for slow-moving inventories: A modelling approach In: International Journal of Forecasting.
[Full Text][Citation analysis]		article43
2017Forecasting compositional time series: A state space approach In: International Journal of Forecasting.
[Full Text][Citation analysis]		article6
2015Forecasting Compositional Time Series: A State Space Approach.(2015) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has nother version. Agregated cites: 6		paper
1990Structural time series models in inventory control In: International Journal of Forecasting.
[Full Text][Citation analysis]		article68
2012Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing In: Omega.
[Full Text][Citation analysis]		article16
2009Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing.(2009) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 16		paper
2008Feasible parameter regions for alternative discrete state space models In: Statistics & Probability Letters.
[Full Text][Citation analysis]		article1
2006BEVERRIDGE NELSON DECOMPOSITION WITH MARKOV SWITCHING In: CAMA Working Papers.
[Full Text][Citation analysis]		paper2
2006Beveridge-Nelson Decomposition with Markov Switching.(2006) In: Melbourne Institute Working Paper Series.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 2		paper
2006Beveridge-Nelson Decomposition with Markov Switching.(2006) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 2		paper
2011Forecasting the Intermittent Demand for Slow-Moving Items In: Working Papers.
[Full Text][Citation analysis]		paper0
2010Forecasting the Intermittent Demand for Slow-Moving Items.(2010) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 0		paper
1971A Note on the Location of Depots In: Management Science.
[Full Text][Citation analysis]		article1
1974Computation of (S, s) Ordering Policy Parameters In: Management Science.
[Full Text][Citation analysis]		article1
1975Technical Note—A Dynamic Programming Formulation for Continuous Time Stock Control Systems In: Operations Research.
[Full Text][Citation analysis]		article0
2001Exponential Smoothing of Seasonal Data: A Comparison. In: Journal of Forecasting.
[Citation analysis]		article1
1997Exponential Smoothing of Seasonal Data: A Comparison.(1997) In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]
This paper has nother version. Agregated cites: 1		paper
2005Prediction intervals for exponential smoothing using two new classes of state space models In: Journal of Forecasting.
[Full Text][Citation analysis]		article30
1995Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models. In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]		paper34
1995Inventory Control: Back to the Molehills. In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]		paper0
1996Business Forecasting with Exponential Smoothing : Computation of Prediction Intervals. In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]		paper0
1997Trend Stability and Structural Change: An Extension to the M1 Forecasting Competition In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]		paper0
1998Lead Time demand for Simple Exponential Smoothing. In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]		paper0
1998Exponential Smoothing Methods of Forecasting and General ARMA Time Series Representations In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]		paper1
1999Understanding the Kalman Filter: an Object Oriented Programming Perspective. In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2000Bayesian Exponential Smoothing. In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper7
2001Prediction Intervals for Exponential Smoothing State Space Models. In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper16
2002Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2004Exponential Smoothing: A Prediction Error Decomposition Principle In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2005Forecasting Time-Series with Correlated Seasonality In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2005A Pedants Approach to Exponential Smoothing In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2005Time Series Forecasting: The Case for the Single Source of Error State Space In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper5
2006Incorporating a Tracking Signal into State Space Models for Exponential Smoothing In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2007A Comparison of Methods for Forecasting Demand for Slow Moving Car Parts In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2007The vector innovation structural time series framework: a simple approach to multivariate forecasting In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper6
2007An Assessment of Alternative State Space Models for Count Time Series In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2008A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2009Exponential Smoothing and the Akaike Information Criterion In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2010Forecasting Compositional Time Series with Exponential Smoothing Methods In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2012Intermittent demand forecasting for inventory control: A multi-series approach In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
1999Lead time demand for simple exponential smoothing: an adjustment factor for the standard deviation In: Journal of the Operational Research Society.
[Full Text][Citation analysis]		article4
2000Viewpoint and Respons In: Journal of the Operational Research Society.
[Full Text][Citation analysis]		article0

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