Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics, 186)
Dagum, Estela Bee, Cholette, Pierre A.
Time series play a crucial role in modern economies at all levels of activity and are used by decision makers to plan for a better future. Before publication time series are subject to statistical adjustments and this is the first statistical book to systematically deal with the methods most often applied for such adjustments. Regression-based models are emphasized because of their clarity, ease of application, and superior results. Each topic is illustrated with real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed a real data example is followed throughout the book.
Catégories:
Année:
2006
Edition:
2006
Editeur::
Springer
Langue:
english
Pages:
424
ISBN 10:
0387311025
ISBN 13:
9780387311029
Fichier:
PDF, 16.05 MB
IPFS:
,
english, 2006
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