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Item Details
Title: TIME SERIES MODELS
IN ECONOMETRICS, FINANCE AND OTHER FIELDS
By: D. R. Cox (Editor), D. V. Hinkley (Editor), O. E. Barndorff-Nielsen (Editor)
Format: Hardback

List price: £160.00
Our price: £144.00
Discount:
10% off
You save: £16.00
ISBN 10: 041272930X
ISBN 13: 9780412729300
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: TAYLOR & FRANCIS LTD
Pub. date: 1 January, 1996
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability 65
Pages: 240
Description: This is a collection of papers given at the 2nd Seminaire European Statistique. It aims to give talented young researchers the opportunity to get quickly to the forefront of knowledge and research in the topic of time series with econometric and other applications.
Synopsis: The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints and are intended to be an introduction accessible to readers from a range of backgrounds. The book arises out of the second Seminaire European de Statistique (SEMSTAT) held in Oxford in December 1994. This brought together young statisticians from across Europe, and a series of introductory lectures were given on topics at the forefront of current research activity. The lectures form the basis for the five papers contained in the book. The papers by Shephard and Johansen deal respectively with time series models for volatility, i.e. variance heterogeneity, and with cointegration. Clements and Hendry analyze the nature of prediction errors. A complementary review paper by Laird gives a biometrical view of the analysis of short time series. Finally Astrup and Nielsen give a mathematical introduction to the study of option pricing.Whilst the book draws its primary motivation from financial series and from multivariate econometric modelling, the applications are potentially much broader.
Illustrations: black & white illustrations
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
Some other items by this author:
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ASYMPTOTIC TECHNIQUES FOR USE IN STATISTICS (HB)
BOOTSTRAP METHODS AND THEIR APPLICATION
BOOTSTRAP METHODS AND THEIR APPLICATION (HB)
BOOTSTRAP METHODS AND THEIR APPLICATION (PB)
CASE-CONTROL STUDIES (HB)
COMPLEX STOCHASTIC SYSTEMS
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COMPONENTS OF VARIANCE
COMPONENTS OF VARIANCE (HB)
INFERENCE AND ASYMPTOTICS (HB)
MULTIVARIATE DEPENDENCIES
MULTIVARIATE DEPENDENCIES
MULTIVARIATE DEPENDENCIES (HB)
PLANNING OF EXPERIMENTS (PB)
POINT PROCESSES (HB)
PRINCIPLES OF APPLIED STATISTICS
PRINCIPLES OF APPLIED STATISTICS (HB)
PRINCIPLES OF APPLIED STATISTICS (PB)
PRINCIPLES OF STATISTICAL INFERENCE
PRINCIPLES OF STATISTICAL INFERENCE (HB)
PRINCIPLES OF STATISTICAL INFERENCE (PB)
PROBLEMS AND SOLUTIONS IN THEORETICAL STATISTICS (PB)
THE COLLECTED WORKS OF JOHN W.TUKEY (HB)
THE STATISTICAL ANALYSIS OF SERIES OF EVENTS (PB)
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THE THEORY OF THE DESIGN OF EXPERIMENTS
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