Ralph David Snyder : Citation Profile


Are you Ralph David Snyder?

Monash University

13

H index

14

i10 index

420

Citations

RESEARCH PRODUCTION:

32

Articles

42

Papers

RESEARCH ACTIVITY:

   46 years (1971 - 2017). See details.
   Cites by year: 9
   Journals where Ralph David Snyder has often published
   Relations with other researchers
   Recent citing documents: 28.    Total self citations: 36 (7.89 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/psn11
   Updated: 2018-10-13    RAS profile: 2018-08-19    
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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 (69)

Athanasopoulos, George (17)

Song, Haiyan (9)

de Silva, Ashton (8)

Ord, Keith (6)

Jacobs, Jan (5)

Nikolopoulos, Konstantinos (5)

Uzeda, Luis (5)

Gooijer, Jan G. (5)

Dungey, Mardi (4)

Wong, Benjamin (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)

King, Maxwell (6)

Campbell, John (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
Journal of Forecasting2
Journal of the Operational Research Society2
Management Science2

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 (2018 and 2017)


YearTitle of citing document
2018State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models. (2018). Uzeda, Luis. In: Staff Working Papers. RePEc:bca:bocawp:18-14.

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2018Business cycle narratives. (2018). Thorsrud, Leif ; Larsen, Vegard. In: Working Papers. RePEc:bny:wpaper:0064.

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2018¿Por qué el Valle del Cauca ha crecido más que el promedio nacional? Un análisis regional de los ciclos y los choques económicos.. (2018). Vidal Alejandro, Pavel ; Sierra, Lya Paola ; Ramirez, Gilberto. In: Working Papers. RePEc:ddt:wpaper:33.

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2018Forecasting electricity price in Colombia: A comparison between Neural Network, ARMA process and Hybrid Models. (2018). Barrientos Marin, Jorge ; Velilla, Esteban ; Orozco, Elkin Tabares . In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-03-15.

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2017Exploiting elapsed time for managing intermittent demand for spare parts. (2017). , Clint ; van der Laan, Erwin A ; van Dalen, Jan . In: European Journal of Operational Research. RePEc:eee:ejores:v:258:y:2017:i:3:p:958-969.

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2017An improved method for forecasting spare parts demand using extreme value theory. (2017). Dekker, Rommert ; Koning, Alex J ; Renjie, Rex Wang ; van Jaarsveld, Willem ; Zhu, Sha. In: European Journal of Operational Research. RePEc:eee:ejores:v:261:y:2017:i:1:p:169-181.

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2017Integrated hierarchical forecasting. (2017). , Clint ; van Dalen, Jan . In: European Journal of Operational Research. RePEc:eee:ejores:v:263:y:2017:i:2:p:412-418.

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2018Tactical sales forecasting using a very large set of macroeconomic indicators. (2018). Aghezzaf, El-Houssaine ; Desmet, Bram ; Sagaert, Yves R ; Kourentzes, Nikolaos. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:2:p:558-569.

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2018The impact of special days in call arrivals forecasting: A neural network approach to modelling special days. (2018). Kourentzes, Nikolaos ; Barrow, Devon. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:3:p:967-977.

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2018Rule-based autoregressive moving average models for forecasting load on special days: A case study for France. (2018). Arora, Siddharth ; Taylor, James W. In: European Journal of Operational Research. RePEc:eee:ejores:v:266:y:2018:i:1:p:259-268.

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2018A greedy aggregation–decomposition method for intermittent demand forecasting in fashion retailing. (2018). Li, Chongshou ; Lim, Andrew. In: European Journal of Operational Research. RePEc:eee:ejores:v:269:y:2018:i:3:p:860-869.

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2017Composite forecasting approach, application for next-day electricity price forecasting. (2017). Mirakyan, Atom ; Koch, Andreas ; Meyer-Renschhausen, Martin . In: Energy Economics. RePEc:eee:eneeco:v:66:y:2017:i:c:p:228-237.

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2017Visualising forecasting algorithm performance using time series instance spaces. (2017). Hyndman, Rob ; Smith-Miles, Kate ; Kang, Yanfei . In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:2:p:345-358.

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2017Air transportation demand forecast through Bagging Holt Winters methods. (2017). Varela, Hugo Miguel ; Cyrino, Fernando Luiz ; Dantas, Tiago Mendes . In: Journal of Air Transport Management. RePEc:eee:jaitra:v:59:y:2017:i:c:p:116-123.

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2017Mitigating disruptions in a multi-echelon supply chain using adaptive ordering. (2017). Schmitt, Thomas G ; Ehlen, Mark A ; Glover, Fred W ; Stecke, Kathryn E ; Kumar, Sanjay. In: Omega. RePEc:eee:jomega:v:68:y:2017:i:c:p:185-198.

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2017A novel weight determination method for time series data aggregation. (2017). Xu, Paiheng ; Deng, Yong ; Zhang, Rong. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:482:y:2017:i:c:p:42-55.

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2017A financial approach to renewable energy production in Greece using goal programming. (2017). Zografidou, Eleni ; Arabatzis, Garyfallos ; Petridis, Nikolaos E. In: Renewable Energy. RePEc:eee:renene:v:108:y:2017:i:c:p:37-51.

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2018On the trade-off between real-time pricing and the social acceptability costs of demand response. (2018). da Silva, Hendrigo Batista ; Santiago, Leonardo P. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:81:y:2018:i:p1:p:1513-1521.

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2018Lake Area Analysis Using Exponential Smoothing Model and Long Time-Series Landsat Images in Wuhan, China. (2018). Duan, Gonghao ; Niu, Ruiqing . In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:1:p:149-:d:126117.

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2018Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand. (2018). Kim, Jang-Yeop . In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:7:p:2417-:d:157375.

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2018Forecasting and Inventory Control with Compound Poisson Demand Using Periodic Demand Data. (2018). Prak, Derk ; Boylan, D ; Syntetos, A A ; Babai, M Z ; Teunter, Rudolf. In: Research Report. RePEc:gro:rugsom:2018010.

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2018Meta-learning how to forecast time series. (2018). Talagala, Thiyanga ; Hyndman, Rob ; Athanasopoulos, George. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2018-6.

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2017Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter. (2017). Wong, Benjamin ; Morley, James ; Kamber, Gunes. In: Reserve Bank of New Zealand Discussion Paper Series. RePEc:nzb:nzbdps:2017/1.

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2017Price convergence within and between the Italian electricity day-ahead and dispatching services markets. (2017). Fontini, Fulvio ; Caporin, Massimiliano ; de Magistris, Paolo Santucci. In: Marco Fanno Working Papers. RePEc:pad:wpaper:0215.

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2017Multiplicative state-space models for intermittent time series. (2017). Svetunkov, Ivan ; Boylan, John Edward. In: MPRA Paper. RePEc:pra:mprapa:82487.

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2017Projecting the long run relationship of Multi-population life expectancy by race. (2017). Ntamjokouen, A ; Consigli, G ; Haberman, S. In: Journal of Statistical and Econometric Methods. RePEc:spt:stecon:v:6:y:2017:i:2:f:6_2_3.

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2017Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter. (2017). Wong, Benjamin ; Morley, James ; Kamber, Gunes. In: Discussion Papers. RePEc:swe:wpaper:2016-09a.

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2017Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms. (2017). Taleizadeh, Ata Allah. In: Asia-Pacific Journal of Operational Research (APJOR). RePEc:wsi:apjorx:v:34:y:2017:i:04:n:s021759591750021x.

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Works by Ralph David Snyder:


YearTitleTypeCited
2001Prediction Intervals for ARIMA Models. In: Journal of Business & Economic Statistics.
[Citation analysis]
article4
1997Prediction Intervals for Arima Models.(1997) In: Monash Econometrics and Business Statistics Working Papers.
[Citation analysis]
This paper has another version. Agregated cites: 4
paper
1989 A Review of the Forecasting Package Stamp. In: Journal of Economic Surveys.
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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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This paper has another version. Agregated cites: 1
paper
2004Single Source of Error State Space Approach to the Beveridge Nelson Decomposition In: Econometric Society 2004 Australasian Meetings.
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paper19
2006Single source of error state space approach to the Beveridge Nelson decomposition.(2006) In: Economics Letters.
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article
2005Single source of error state space approach to the Beveridge Nelson decomposition.(2005) In: CAMA Working Papers.
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paper
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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paper
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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article19
1999Forecasting Sales of Slow and Fast Moving Inventories..(1999) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2004Exponential smoothing models: Means and variances for lead-time demand In: European Journal of Operational Research.
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article3
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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article25
1989Control of inventories with intermittent demand In: European Journal of Operational Research.
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article16
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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This paper has another version. Agregated cites: 1
paper
2001Forecasting models and prediction intervals for the multiplicative Holt-Winters method In: International Journal of Forecasting.
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article16
1999Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method..(1999) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 16
paper
2002Forecasting for inventory control with exponential smoothing In: International Journal of Forecasting.
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article13
1999Forecasting for Inventory Control with Exponential Smoothing..(1999) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2002A state space framework for automatic forecasting using exponential smoothing methods In: International Journal of Forecasting.
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article116
2000A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods..(2000) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2006Exponential smoothing model selection for forecasting In: International Journal of Forecasting.
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article19
2005Exponential Smoothing Model Selection for Forecasting.(2005) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2006Discussion In: International Journal of Forecasting.
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article0
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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This paper has another version. Agregated cites: 1
paper
2009Incorporating a tracking signal into a state space model In: International Journal of Forecasting.
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article1
2012A study of outliers in the exponential smoothing approach to forecasting In: International Journal of Forecasting.
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article2
2012Forecasting the intermittent demand for slow-moving inventories: A modelling approach In: International Journal of Forecasting.
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article14
2017Forecasting compositional time series: A state space approach In: International Journal of Forecasting.
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article0
2015Forecasting Compositional Time Series: A State Space Approach.(2015) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 0
paper
1990Structural time series models in inventory control In: International Journal of Forecasting.
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article34
2012Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing In: Omega.
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article12
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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paper
2008Feasible parameter regions for alternative discrete state space models In: Statistics & Probability Letters.
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article1
2006BEVERRIDGE NELSON DECOMPOSITION WITH MARKOV SWITCHING In: CAMA Working Papers.
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paper2
2006Beveridge-Nelson Decomposition with Markov Switching.(2006) In: Melbourne Institute Working Paper Series.
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paper
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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paper0
2010Forecasting the Intermittent Demand for Slow-Moving Items.(2010) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 0
paper
1971A Note on the Location of Depots In: Management Science.
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article0
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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This paper has another version. Agregated cites: 1
paper
2005Prediction intervals for exponential smoothing using two new classes of state space models In: Journal of Forecasting.
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article23
1995Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models. In: Monash Econometrics and Business Statistics Working Papers.
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paper34
1995Inventory Control: Back to the Molehills. In: Monash Econometrics and Business Statistics Working Papers.
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paper0
1996Business Forecasting with Exponential Smoothing : Computation of Prediction Intervals. In: Monash Econometrics and Business Statistics Working Papers.
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paper0
1997Trend Stability and Structural Change: An Extension to the M1 Forecasting Competition In: Monash Econometrics and Business Statistics Working Papers.
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paper0
1998Lead Time demand for Simple Exponential Smoothing. In: Monash Econometrics and Business Statistics Working Papers.
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paper0
1998Exponential Smoothing Methods of Forecasting and General ARMA Time Series Representations In: Monash Econometrics and Business Statistics Working Papers.
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paper1
1999Understanding the Kalman Filter: an Object Oriented Programming Perspective. In: Monash Econometrics and Business Statistics Working Papers.
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paper0
2000Bayesian Exponential Smoothing. In: Monash Econometrics and Business Statistics Working Papers.
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paper7
2001Prediction Intervals for Exponential Smoothing State Space Models. In: Monash Econometrics and Business Statistics Working Papers.
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paper16
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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2005Forecasting Time-Series with Correlated Seasonality In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2005A Pedants Approach to Exponential Smoothing In: Monash Econometrics and Business Statistics Working Papers.
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2005Time Series Forecasting: The Case for the Single Source of Error State Space In: Monash Econometrics and Business Statistics Working Papers.
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paper4
2006Incorporating a Tracking Signal into State Space Models for Exponential Smoothing 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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paper5
2007An Assessment of Alternative State Space Models for Count Time Series In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2008A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2009Exponential Smoothing and the Akaike Information Criterion In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2010Forecasting Compositional Time Series with Exponential Smoothing Methods In: Monash Econometrics and Business Statistics Working Papers.
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paper1
2012Intermittent demand forecasting for inventory control: A multi-series approach In: Monash Econometrics and Business Statistics Working Papers.
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1999Lead time demand for simple exponential smoothing: an adjustment factor for the standard deviation In: Journal of the Operational Research Society.
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2000Viewpoint and Respons In: Journal of the Operational Research Society.
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