Rob J Hyndman

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2008 (1)
  • Fore­cast­ing without sig­ni­fic­ance tests?
2007 (1)
  • A state space model for expo­nen­tial smooth­ing with group seasonality
2006 (1)
  • Local lin­ear mul­tivari­ate regres­sion with vari­able band­width in the pres­ence of heteroscedasticity
2005 (1)
  • Time series fore­cast­ing: the case for the single source of error state space approach
2000 (1)
  • Sea­sonal adjust­ment meth­ods for the ana­lysis of res­pir­at­ory dis­ease in envir­on­mental epidemiology
1996 (1)
  • A uni­fied view of lin­ear AR(1) mod­els
1995 (1)
  • The prob­lem with Sturges’ rule for con­struct­ing histograms

Rob J Hyndman is Pro­fessor of Stat­ist­ics at Mon­ash Uni­ver­sity, Aus­tralia.

Email: Rob.​Hyndman@​monash.​edu

Popular Posts

  • forecast package for R
  • demography: Forecasting mortality, fertility, migration and population data
  • Automatic time series forecasting: the forecast package for R
  • Forecasting time series with complex seasonal patterns using exponential smoothing
  • Optimal combination forecasts for hierarchical time series

RSS From my research blog

  • Blog aggregators 15 May 2012
  • Global Energy Forecasting Competition 14 May 2012
  • Seeking help 8 May 2012
  • Measuring time series characteristics 2 May 2012
  • LaTeX templates 9 April 2012
  • Google scholar metrics 2 April 2012
  • Forecasts and ggplot 22 March 2012
  • XeLaTeX with TeXstudio 5 March 2012
  • Data visualization 4 March 2012
  • Exponential smoothing and regressors 28 February 2012

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Rob J Hyndman