Time Series in the Time Domain: Volume 5
Time Series in the Time Domain Vol 5
Published on 1. August 1985
Book
Hardback
508 pages
978-0-444-87629-4 (ISBN)
Description
In this volume prominent workers in the field discuss various time series methods in the time domain, complementing Volume 3. The topics included are autoregressive-moving average models, control, estimation, identification, model selection, non-linear time series, non-stationary time series, prediction, robustness, sampling designs, signal attenuation, and speech recognition.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Product notice
Laminated cover
Illustrations
Illustrations
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 29 mm
Weight
885 gr
ISBN-13
978-0-444-87629-4 (9780444876294)
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Schweitzer Classification
Content
Nonstationary Autoregressive Time Series (W.A. Fuller). Non-Linear Time Series Models and Dynamical Systems (T. Ozaki). Autoregressive Moving Average Models, Intervention Problems and Outlier Detection in Time Series (G.C. Tiao). Robustness in Time Series and Estimating ARMA Models (R.D. Martin, V.J. Yohai). Time Series Analysis with Unequally Spaced Data (R.H. Jones). Various Model Selection Techniques in Time Series Analysis (R. Shibata). Estimation of Parameters in Dynamical Systems (L. Ljung). Recursive Identification, Estimation and Control (P. Young). General Structure and Parametrization of ARMA and State-Space Systems and its Relation to Statistical Problems (M.D. Deistler). Harmonizable, Cramer, and Karhunen Classes of Processes (M.M. Rao). On Non-Stationary Time Series (C.S.K. Bhagavan). Harmonizable Filtering and Sampling to Time Series (D.K. Chang). Sampling Designs for Time Series (S. Cambanis). Measuring Attenuation (M.A. Cameron, P.J. Thomson). Speech Recognition Using LPC Distance Measures (P.J. Thomson, P. De Souza). Varying Coefficient Regression (D.F. Nicholls, A.R. Pagan). Small Samples and Large Equation Systems (H. Theil, D.G. Fiebig). Index.