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There are 25719 results for: content related to: Relationships Between Forecasts from General Exponential Smoothing and Forecasts from ARIMA Time Series Models

  1. Exponential smoothing: The state of the art

    Journal of Forecasting

    Volume 4, Issue 1, 1985, Pages: 1–28, Everette S. Gardner Jr.

    Version of Record online : 21 SEP 2006, DOI: 10.1002/for.3980040103

  2. Regression and Exponential Smoothing Methods to Forecast Nonseasonal Time Series

    Statistical Methods for Forecasting

    Bovas Abraham, Johannes Ledolter, Pages: 79–134, 2008

    Published Online : 27 MAY 2008, DOI: 10.1002/9780470316610.ch3

  3. Robust exponential smoothing

    Journal of Forecasting

    Volume 11, Issue 1, January 1992, Pages: 57–69, Tomáš Cipra

    Version of Record online : 2 NOV 2006, DOI: 10.1002/for.3980110106

  4. Abstract

    Journal of Forecasting

    Volume 8, Issue S1, Winter 1989, Pages: 3–54,

    Version of Record online : 12 FEB 2007, DOI: 10.1002/for.3980080503

  5. Some comments on the initialization of exponential smoothing

    Journal of Forecasting

    Volume 3, Issue 1, January/March 1984, Pages: 79–84, Johannes Ledolter and Bovas Abraham

    Version of Record online : 21 SEP 2006, DOI: 10.1002/for.3980030109

  6. Exponential smoothing: Estimation by maximum likelihood

    Journal of Forecasting

    Volume 9, Issue 5, October/December 1990, Pages: 445–455, Laurence Broze and Guy Mélard

    Version of Record online : 2 NOV 2006, DOI: 10.1002/for.3980090504

  7. General exponential smoothing and the equivalent arma process

    Journal of Forecasting

    Volume 3, Issue 3, July/September 1984, Pages: 333–344, Ed. McKenzie

    Version of Record online : 21 SEP 2006, DOI: 10.1002/for.3980030312

  8. Smooth transition exponential smoothing

    Journal of Forecasting

    Volume 23, Issue 6, September 2004, Pages: 385–404, James W. Taylor

    Version of Record online : 20 SEP 2004, DOI: 10.1002/for.918

  9. Performance of time-series methods in forecasting the demand for red blood cell transfusion

    Transfusion

    Volume 44, Issue 5, May 2004, Pages: 739–746, Arturo Pereira

    Version of Record online : 26 APR 2004, DOI: 10.1111/j.1537-2995.2004.03363.x

  10. You have free access to this content
    Exercises

    Statistical Methods for Forecasting

    Bovas Abraham, Johannes Ledolter, Pages: 386–417, 2008

    Published Online : 27 MAY 2008, DOI: 10.1002/9780470316610.oth1

  11. Smoothing methods for histogram-valued time series: an application to value-at-risk

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 4, Issue 2, April 2011, Pages: 216–228, Javier Arroyo, Gloria González-Rivera, Carlos Maté and Antonio Muñoz San Roque

    Version of Record online : 8 MAR 2011, DOI: 10.1002/sam.10114

  12. Business Forecasting Methods

    Standard Article

    Wiley StatsRef: Statistics Reference Online

    Paul Newbold

    Published Online : 29 SEP 2014, DOI: 10.1002/9781118445112.stat03475

  13. You have full text access to this OnlineOpen article
    Adaptive Anchoring Model: How Static and Dynamic Presentations of Time Series Influence Judgments and Predictions

    Cognitive Science

    Petko Kusev, Paul van Schaik, Krasimira Tsaneva-Atanasova, Asgeir Juliusson and Nick Chater

    Version of Record online : 6 APR 2017, DOI: 10.1111/cogs.12476

  14. Prediction and Forecasting

    Standard Article

    Encyclopedia of Statistical Sciences

    Johannes Ledolter

    Published Online : 14 JAN 2011, DOI: 10.1002/0471667196.ess2046.pub3

  15. Prediction and Forecasting

    Standard Article

    Wiley StatsRef: Statistics Reference Online

    Johannes Ledolter

    Published Online : 29 SEP 2014, DOI: 10.1002/9781118445112.stat03523

  16. Commentary on the makridakis time series competition (M-competition)

    Journal of Forecasting

    Volume 2, Issue 3, July/August 1983, Pages: 259–311,

    Version of Record online : 20 SEP 2006, DOI: 10.1002/for.3980020308

  17. Evidence for the selection of forecasting methods

    Journal of Forecasting

    Volume 19, Issue 6, November 2000, Pages: 515–535, Nigel Meade

    Version of Record online : 28 NOV 2000, DOI: 10.1002/1099-131X(200011)19:6<515::AID-FOR754>3.0.CO;2-7

  18. Comments on ‘exponential smoothing: The state of the art’ by E. S. Gardner Jr.

    Journal of Forecasting

    Volume 4, Issue 1, 1985, Pages: 32–36, Ed. McKenzie

    Version of Record online : 21 SEP 2006, DOI: 10.1002/for.3980040107

  19. Forecasting General Fund Revenue: An Analysis of Idaho FY 1998 to FY 2011

    Public Budgeting & Finance

    Volume 31, Issue 4, Winter 2011, Pages: 51–73, STEPHEN C. COOKE and CHRISTOPHER S. MCINTOSH

    Version of Record online : 19 DEC 2011, DOI: 10.1111/j.1540-5850.2011.00992.x

  20. Forecasting Competitions: Their Role in Improving Forecasting Practice and Research

    A Companion to Economic Forecasting

    Robert Fildes, Keith Ord, Pages: 322–353, 2007

    Published Online : 30 NOV 2007, DOI: 10.1002/9780470996430.ch15