Forecasting with Exponential Smoothing - The State Space Approach - Grand Format

Edition en anglais

Rob J. Hyndman

,

Anne B. Koehler

,

J.Keith Ord

,

Ralph D. Snyder

Note moyenne 
Exponential smoothing methods have been around since the 19505, and are the most popular forecasting methods used in business and industry. Recently,... Lire la suite
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Résumé

Exponential smoothing methods have been around since the 19505, and are the most popular forecasting methods used in business and industry. Recently, exponential smoothing has been revolutionized with the introduction of a complete modeling framework incorporating innovations state space models, likelihood calculation, prediction intervals and procedures for model selection. In this book, all of the important results for this framework are brought together in a coherent manner with consistent notation.
In addition, many new results and extensions are introduced and several application areas are examined in detail.

Caractéristiques

  • Date de parution
    01/07/2018
  • Editeur
  • Collection
  • ISBN
    978-3-540-71916-8
  • EAN
    9783540719168
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    360 pages
  • Poids
    0.61 Kg
  • Dimensions
    15,6 cm × 23,4 cm × 2,1 cm

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À propos des auteurs

Rob J. Hyndman is a Professor of Statistics and Director of the Business and Economic Forecasting Unit at Monash University, Australia. He is Editor-in-Chief of the International Journal of Forecasting, author of over 100 research papers in statistical science, and received the 2007 Moran medal from the Australian Academy of Science for his contributions to statistical research. Anne B. Koehler is a Professor of Decision Sciences and the Panuska Professor of Business Administration at Miami University, Ohio.
She has numerous publications, many of which are on forecasting models for seasonal time series and exponential smoothing methods. J. Keith Ord is a Professor in the McDonough School of Business, Georgetown University, Washington DC. He has authored over 100 research papers in statistics and forecasting, and is a co-author of Kendall's Advanced Theory of Statistics. Ralph D. Snyder is an Associate Professor in the Department of Econometrics and Business Statistics at Monash University, Australia.
He has extensive publications on business forecasting and inventory management. He has played a leading role in the establishment of the class of innovations state space models for exponential smoothing.

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