Ralph David Snyder : Citation Profile


Are you Ralph David Snyder?

Monash University

13

H index

14

i10 index

515

Citations

RESEARCH PRODUCTION:

33

Articles

42

Papers

RESEARCH ACTIVITY:

   46 years (1971 - 2017). See details.
   Cites by year: 11
   Journals where Ralph David Snyder has often published
   Relations with other researchers
   Recent citing documents: 63.    Total self citations: 36 (6.53 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/psn11
   Updated: 2020-10-17    RAS profile: 2020-02-05    
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Relations with other researchers


Works with:

McLaren, Keith (2)

Ord, Keith (2)

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 (70)

Athanasopoulos, George (21)

Nikolopoulos, Konstantinos (9)

Gooijer, Jan G. (9)

Song, Haiyan (9)

de Silva, Ashton (8)

Ord, Keith (6)

Uzeda, Luis (5)

Jacobs, Jan (5)

van Norden, Simon (4)

Kamber, Gunes (4)

Cites to:

Ord, Keith (49)

Hyndman, Rob (34)

Harvey, Andrew (18)

Martin, Gael (10)

McCabe, Brendan (9)

Heinen, Andréas (9)

Nelson, Charles (8)

Engle, Robert (7)

Koopman, Siem Jan (6)

King, Maxwell (6)

Mankiw, N. Gregory (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
Management Science2
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 (2020 and 2019)


YearTitle of citing document
2019Forecasting under Long Memory and Nonstationarity. (2019). Hassler, Uwe ; Pohle, Marc-Oliver. In: Papers. RePEc:arx:papers:1910.08202.

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2020Focused Bayesian Prediction. (2019). Frazier, David T ; Martin, Gael M ; Loaiza-Maya, Ruben. In: Papers. RePEc:arx:papers:1912.12571.

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2020The Effectiveness of Chinas Monetary Policy: Based on the Mixed-Frequency Data. (2020). Pan, Shengjie ; Zhang, Hongyan ; Song, Yinqiu ; Wang, Deqing. In: Asian Economic and Financial Review. RePEc:asi:aeafrj:2020:p:325-339.

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2019The methane footprint of nations: Stylized facts from a global panel dataset. (2019). Oberdabernig, Doris ; Francois, Joseph ; Fernandez-Amador, Octavio ; Tomberger, Patrick. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:14125.

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2019The combination of interval forecasts in tourism. (2019). Liu, Anyu ; Zhou, Menglin ; Wu, Doris Chenguang. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:363-378.

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2019Cross-temporal coherent forecasts for Australian tourism. (2019). Athanasopoulos, George ; Kourentzes, Nikolaos. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:393-409.

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2020Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption. (2020). Assimakopoulos, Vassilios ; Kourentzes, Nikolaos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320264.

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2020Short-term electrical load forecasting based on error correction using dynamic mode decomposition. (2020). Zhang, Yusen ; Wang, Chengshan ; Li, Chuang ; Kong, Xiangyu. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320550.

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2020Automatic frequency restoration reserve market prediction: Methodology and comparison of various approaches. (2020). Sauer, Dirk Uwe ; Schoeneberger, Ilka ; Rucker, Fabian ; Merten, Michael. In: Applied Energy. RePEc:eee:appene:v:268:y:2020:i:c:s0306261920304906.

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2020Predictability of hourly nitrogen dioxide concentration. (2020). Haupt, Harry ; Behm, Svenia. In: Ecological Modelling. RePEc:eee:ecomod:v:428:y:2020:i:c:s0304380020301484.

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2019Spare parts inventory management: New evidence from distribution fitting. (2019). Turrini, Laura ; Meissner, Joern. In: European Journal of Operational Research. RePEc:eee:ejores:v:273:y:2019:i:1:p:118-130.

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2019A data-driven newsvendor problem: From data to decision. (2019). Muller, Sebastian ; Huber, Jakob ; Stuckenschmidt, Heiner ; Fleischmann, Moritz. In: European Journal of Operational Research. RePEc:eee:ejores:v:278:y:2019:i:3:p:904-915.

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2019Long-term swings and seasonality in energy markets. (2019). Novales, Alfonso ; Moreno, Manuel ; Platania, Federico. In: European Journal of Operational Research. RePEc:eee:ejores:v:279:y:2019:i:3:p:1011-1023.

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2020Generalizing the Theta method for automatic forecasting. (2020). Makridakis, Spyros ; Assimakopoulos, Vassilios ; Spiliotis, Evangelos. In: European Journal of Operational Research. RePEc:eee:ejores:v:284:y:2020:i:2:p:550-558.

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2020An integrated method based on relevance vector machine for short-term load forecasting. (2020). Vassiliadis, Vassilios S ; Fu, Dongfei ; Ping, Zuowei ; Wang, Maolin ; Ding, Jia. In: European Journal of Operational Research. RePEc:eee:ejores:v:287:y:2020:i:2:p:497-510.

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2020Investment, depreciation and obsolescence of R&D. (2020). John, Kose ; Jiang, Cheng ; Chinloy, Peter . In: Journal of Financial Stability. RePEc:eee:finsta:v:49:y:2020:i:c:s1572308920300565.

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2019Forecasting compositional risk allocations. (2019). Boonen, Tim J ; Santolino, Miguel ; Guillen, Montserrat. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:84:y:2019:i:c:p:79-86.

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2020A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving. (2020). Wong, Bernard ; Vu, Phuong Anh ; Taylor, Greg ; Avanzi, Benjamin. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:93:y:2020:i:c:p:50-71.

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2019Forecasting spare part demand with installed base information: A review. (2019). van der Auweraer, Sarah ; Syntetos, Aris A ; Boute, Robert N. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:181-196.

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2019The inventory performance of forecasting methods: Evidence from the M3 competition data. (2019). Petropoulos, Fotios ; Disney, Stephen M ; Wang, Xun. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:251-265.

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2019Tales from tails: On the empirical distributions of forecasting errors and their implication to risk. (2019). Assimakopoulos, Vassilios ; Nikolopoulos, Konstantinos ; Spiliotis, Evangelos. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:687-698.

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2020A simple combination of univariate models. (2020). Svetunkov, Ivan ; Petropoulos, Fotios. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:110-115.

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2020Correlated daily time series and forecasting in the M4 competition. (2020). Kull, Meelis ; Komisarenko, Viacheslav ; Tattar, Andre ; Kangsepp, Markus ; Shahroudi, Novin ; Ingel, Anti. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:121-128.

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2020Forecasting in social settings: The state of the art. (2020). Petropoulos, Fotios ; Hyndman, Rob J ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:15-28.

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2020Are forecasting competitions data representative of the reality?. (2020). Makridakis, Spyros ; Assimakopoulos, Vassilios ; Kouloumos, Andreas ; Spiliotis, Evangelos. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:37-53.

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2020The M4 Competition: 100,000 time series and 61 forecasting methods. (2020). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:54-74.

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2020Weighted ensemble of statistical models. (2020). Chorowska, Agata ; Pawlikowski, Maciej. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:93-97.

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2020A combination-based forecasting method for the M4-competition. (2020). Prakash, P. K. S., ; Jaganathan, Srihari. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:98-104.

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2020Probabilistic forecasting of heterogeneous consumer transaction–sales time series. (2020). West, Mike ; Helman, Paul ; Berry, Lindsay R. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:552-569.

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2020DeepAR: Probabilistic forecasting with autoregressive recurrent networks. (2020). Januschowski, Tim ; Gasthaus, Jan ; Flunkert, Valentin ; Salinas, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:1181-1191.

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2019Brain imaging and forecasting: Insights from judgmental model selection. (2019). Petropoulos, Fotios ; Wang, Xun ; Han, Weiwei. In: Omega. RePEc:eee:jomega:v:87:y:2019:i:c:p:1-9.

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2020Inventory control with seasonality of lead times. (2020). Riezebos, Jan ; Zhu, Stuart X. In: Omega. RePEc:eee:jomega:v:92:y:2020:i:c:s0305048318313665.

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2019A data-driven framework for predicting weather impact on high-volume low-margin retail products. (2019). Desmet, Bram ; Aghezzaf, El-Houssaine ; Verstraete, Gylian. In: Journal of Retailing and Consumer Services. RePEc:eee:joreco:v:48:y:2019:i:c:p:169-177.

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2019Incorporating macroeconomic leading indicators in tactical capacity planning. (2019). Aghezzaf, El-Houssaine ; de Vuyst, Stijn ; Kourentzes, Nikolaos ; Sagaert, Yves R ; Desmet, Bram. In: International Journal of Production Economics. RePEc:eee:proeco:v:209:y:2019:i:c:p:12-19.

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2019An investigation on bootstrapping forecasting methods for intermittent demands. (2019). Jemai, Z ; Aguir, M S ; Babai, M Z ; Hasni, M. In: International Journal of Production Economics. RePEc:eee:proeco:v:209:y:2019:i:c:p:20-29.

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2019Another look at forecast selection and combination: Evidence from forecast pooling. (2019). Petropoulos, Fotios ; Barrow, Devon ; Kourentzes, Nikolaos. In: International Journal of Production Economics. RePEc:eee:proeco:v:209:y:2019:i:c:p:226-235.

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2019A new method to forecast intermittent demand in the presence of inventory obsolescence. (2019). Kalai, R ; Boubaker, S ; Dallery, Y ; Babai, M Z. In: International Journal of Production Economics. RePEc:eee:proeco:v:209:y:2019:i:c:p:30-41.

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2019On the performance of adjusted bootstrapping methods for intermittent demand forecasting. (2019). Babai, M Z ; Aguir, M S ; Hasni, M ; Jemai, Z. In: International Journal of Production Economics. RePEc:eee:proeco:v:216:y:2019:i:c:p:145-153.

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2020Optimising forecasting models for inventory planning. (2020). Barrow, Devon K ; Trapero, Juan R ; Kourentzes, Nikolaos. In: International Journal of Production Economics. RePEc:eee:proeco:v:225:y:2020:i:c:s0925527319304323.

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2019Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression. (2019). Shah, Nilay ; Sikinioti-Lock, Alexandra ; Sharifzadeh, Mahdi. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:108:y:2019:i:c:p:513-538.

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2019Energy Management through Cost Forecasting for Residential Buildings in New Zealand. (2019). Mbachu, Jasper ; Liu, Zhansheng ; Zhao, Linlin. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:15:p:2888-:d:252107.

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2020Forecasting Hierarchical Time Series in Power Generation. (2020). Costa, Marcelo Azevedo ; Gontijo, Tiago Silveira. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3722-:d:386897.

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2020.

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2019Stock Market Analysis: A Review and Taxonomy of Prediction Techniques. (2019). Zulkernine, Farhana ; Isah, Haruna ; Shah, Dev. In: International Journal of Financial Studies. RePEc:gam:jijfss:v:7:y:2019:i:2:p:26-:d:234740.

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2020A Two-Population Extension of the Exponential Smoothing State Space Model with a Smoothing Penalisation Scheme. (2020). Li, Jackie ; Tang, Sixian ; Shi, Yanlin. In: Risks. RePEc:gam:jrisks:v:8:y:2020:i:3:p:67-:d:377805.

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2019Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer. (2019). Lee, Chulung ; Cho, Sung Won ; Han, Young Jae ; Kim, Ki Hong. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:22:p:6240-:d:284443.

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2019An Integrated Approach to Forecasting Intermittent Demand for Electric Power Materials. (2019). Jiang, Aiping ; Wu, Maoguo ; Gao, Junjun ; Chi, Qiuguo. In: Computational Economics. RePEc:kap:compec:v:53:y:2019:i:4:d:10.1007_s10614-018-9805-x.

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2019Elucidate Structure in Intermittent Demand Series. (2019). Athanasopoulos, George ; Kourentzes, Nikolaos. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-27.

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2020Focused Bayesian Prediction. (2020). Loaiza Maya, Rubén ; Frazier, David T ; Martin, Gael M ; Loaiza-Maya, Ruben. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2020-1.

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2020Distributed ARIMA Models for Ultra-long Time Series. (2020). Li, Feng ; Hyndman, Rob J ; Kang, Yanfei ; Wang, Xiaoqian. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2020-29.

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2020Estimating DSGE Models: Recent Advances and Future Challenges. (2020). Guerron, Pablo ; Fernandez-Villaverde, Jesus ; Guerron-Quintana, Pablo A. In: NBER Working Papers. RePEc:nbr:nberwo:27715.

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2019Some forecasting principles from the M4 competition. (2019). Hendry, David ; Doornik, Jurgen ; Castle, Jennifer. In: Economics Papers. RePEc:nuf:econwp:1901.

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2019Unconstraining methods for revenue management systems under small demand. (2019). Strauss, Arne K ; Li, Dong ; Kourentzes, Nikolaos. In: Journal of Revenue and Pricing Management. RePEc:pal:jorapm:v:18:y:2019:i:1:d:10.1057_s41272-017-0117-x.

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2019Time trends in gender-specific incidence rates of road traffic injuries in Iran. (2019). Fakoor, Vahid ; Moghaddam, Abolfazl Mohammadzadeh ; Foroutaghe, Milad Delavary. In: PLOS ONE. RePEc:plo:pone00:0216462.

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2019Spring onion seed demand forecasting using a hybrid Holt-Winters and support vector machine model. (2019). Huang, Danfeng ; Geng, NA ; Zhang, Jingjin ; Zhao, Yinglei ; Zhu, Yihang. In: PLOS ONE. RePEc:plo:pone00:0219889.

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2020Forecasting the novel coronavirus COVID-19. (2020). Petropoulos, Fotios ; Makridakis, Spyros. In: PLOS ONE. RePEc:plo:pone00:0231236.

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2020Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries. (2020). Fantazzini, Dean. In: MPRA Paper. RePEc:pra:mprapa:102315.

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2019Retail forecasting: research and practice. (2019). Fildes, Robert ; Kolassa, Stephan ; Ma, Shaohui. In: MPRA Paper. RePEc:pra:mprapa:89356.

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2019.

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2020The problem of shelf-warmers in electronic commerce: a proposed solution. (2020). Chodak, Grzegorz. In: Information Systems and e-Business Management. RePEc:spr:infsem:v:18:y:2020:i:2:d:10.1007_s10257-020-00473-5.

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2020A centralized stochastic inventory control model for perishable products considering age-dependent purchase price and lead time. (2020). Ahmadi, Ehsan ; Ghalehkhondabi, Iman ; Maihami, Reza ; Hostetler, Seth ; Masel, Dale T. In: TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:topjnl:v:28:y:2020:i:1:d:10.1007_s11750-019-00533-1.

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2019Decomposition-ANN Methods for Long-Term Discharge Prediction Based on Fisher’s Ordered Clustering with MESA. (2019). Qiu, Jun ; Xie, EN ; Zhao, Xiao ; Wang, Zhi-Yu ; Li, Fang-Fang. In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:33:y:2019:i:9:d:10.1007_s11269-019-02295-8.

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2019Long-term swings and seasonality in energy markets. (2019). Platania, Federico ; Novales, Alfonso ; Moreno, Manuel. In: Documentos de Trabajo del ICAE. RePEc:ucm:doicae:1929.

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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 another version. Agregated cites: 5
paper
1989 A Review of the Forecasting Package Stamp. In: Journal of Economic Surveys.
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article0
1996INITIALIZATION OF THE KALMAN FILTER WITH PARTIALLY DIFFUSE INITIAL CONDITIONS In: Journal of Time Series Analysis.
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article0
2003Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series In: Studies in Nonlinear Dynamics & Econometrics.
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article1
2002Reconstructing the Kalman Filter for Stationary and Non Stationary Time Series.(2002) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2004Single Source of Error State Space Approach to the Beveridge Nelson Decomposition In: Econometric Society 2004 Australasian Meetings.
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2006Single source of error state space approach to the Beveridge Nelson decomposition.(2006) In: Economics Letters.
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2005Single source of error state space approach to the Beveridge Nelson decomposition.(2005) In: CAMA Working Papers.
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2004Single Source of Error State Space Approach to the Beveridge Nelson Decomposition.(2004) In: Monash Econometrics and Business Statistics Working Papers.
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2009A multivariate innovations state space Beveridge-Nelson decomposition In: Economic Modelling.
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article2
2002Forecasting sales of slow and fast moving inventories In: European Journal of Operational Research.
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article27
1999Forecasting Sales of Slow and Fast Moving Inventories..(1999) In: Monash Econometrics and Business Statistics Working Papers.
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2004Exponential smoothing models: Means and variances for lead-time demand In: European Journal of Operational Research.
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article4
1984Inventory control with the gamma probability distribution In: European Journal of Operational Research.
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article2
2008Forecasting time series with multiple seasonal patterns In: European Journal of Operational Research.
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article31
1989Control of inventories with intermittent demand In: European Journal of Operational Research.
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article18
1982Robust time series analysis In: European Journal of Operational Research.
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article1
1997Trends, lead times and forecasting In: International Journal of Forecasting.
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article1
1996Trends, Lead Times and Forecasting..(1996) In: Monash Econometrics and Business Statistics Working Papers.
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2001Forecasting models and prediction intervals for the multiplicative Holt-Winters method In: International Journal of Forecasting.
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1999Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method..(1999) In: Monash Econometrics and Business Statistics Working Papers.
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2002Forecasting for inventory control with exponential smoothing In: International Journal of Forecasting.
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1999Forecasting for Inventory Control with Exponential Smoothing..(1999) In: Monash Econometrics and Business Statistics Working Papers.
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2002A state space framework for automatic forecasting using exponential smoothing methods In: International Journal of Forecasting.
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2000A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods..(2000) In: Monash Econometrics and Business Statistics Working Papers.
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2006Exponential smoothing model selection for forecasting In: International Journal of Forecasting.
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2005Exponential Smoothing Model Selection for Forecasting.(2005) In: Monash Econometrics and Business Statistics Working Papers.
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2006Discussion In: International Journal of Forecasting.
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2009Monitoring processes with changing variances In: International Journal of Forecasting.
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article1
2008Monitoring Processes with Changing Variances.(2008) In: Monash Econometrics and Business Statistics Working Papers.
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2009Incorporating a tracking signal into a state space model In: International Journal of Forecasting.
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2012A study of outliers in the exponential smoothing approach to forecasting In: International Journal of Forecasting.
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2012Forecasting the intermittent demand for slow-moving inventories: A modelling approach In: International Journal of Forecasting.
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2017Forecasting compositional time series: A state space approach In: International Journal of Forecasting.
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article1
2015Forecasting Compositional Time Series: A State Space Approach.(2015) In: Monash Econometrics and Business Statistics Working Papers.
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1990Structural time series models in inventory control In: International Journal of Forecasting.
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article39
2012Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing In: Omega.
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2009Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing.(2009) In: Monash Econometrics and Business Statistics Working Papers.
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2008Feasible parameter regions for alternative discrete state space models In: Statistics & Probability Letters.
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2006BEVERRIDGE NELSON DECOMPOSITION WITH MARKOV SWITCHING In: CAMA Working Papers.
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2006Beveridge-Nelson Decomposition with Markov Switching.(2006) In: Melbourne Institute Working Paper Series.
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2006Beveridge-Nelson Decomposition with Markov Switching.(2006) In: Monash Econometrics and Business Statistics Working Papers.
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2011Forecasting the Intermittent Demand for Slow-Moving Items In: Working Papers.
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2010Forecasting the Intermittent Demand for Slow-Moving Items.(2010) In: Monash Econometrics and Business Statistics Working Papers.
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1971A Note on the Location of Depots In: Management Science.
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1974Computation of (S, s) Ordering Policy Parameters In: Management Science.
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article0
1975Technical Note—A Dynamic Programming Formulation for Continuous Time Stock Control Systems In: Operations Research.
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article0
2001Exponential Smoothing of Seasonal Data: A Comparison. In: Journal of Forecasting.
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article1
1997Exponential Smoothing of Seasonal Data: A Comparison.(1997) In: Monash Econometrics and Business Statistics Working Papers.
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2005Prediction intervals for exponential smoothing using two new classes of state space models In: Journal of Forecasting.
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2001Prediction Intervals for Exponential Smoothing State Space Models. In: Monash Econometrics and Business Statistics Working Papers.
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2002Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand In: Monash Econometrics and Business Statistics Working Papers.
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2004Exponential Smoothing: A Prediction Error Decomposition Principle In: Monash Econometrics and Business Statistics Working Papers.
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2007A Comparison of Methods for Forecasting Demand for Slow Moving Car Parts In: Monash Econometrics and Business Statistics Working Papers.
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2007The vector innovation structural time series framework: a simple approach to multivariate forecasting In: Monash Econometrics and Business Statistics Working Papers.
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2007An Assessment of Alternative State Space Models for Count Time Series In: Monash Econometrics and Business Statistics Working Papers.
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