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

Name: Forecasting with Exponential Smoothing
Price: 98.7 EUR
Availability: Instock
Author: Rob J. Hyndman
ISBN: 9783540719168

Edition en anglais

Rob J. Hyndman

Anne B. Koehler

J.Keith Ord

Ralph D. Snyder

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Rob J. Hyndman et Anne B. Koehler - Forecasting with Exponential Smoothing - The State Space Approach.

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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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.

Date de parution

01/07/2018
Editeur

Springer
Collection

Springer Series in Statistics
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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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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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

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