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E-raamat: Athens Conference on Applied Probability and Time Series Analysis: Volume II: Time Series Analysis In Memory of E.J. Hannan

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  • Sari: Lecture Notes in Statistics 115
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781461224129
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Statistics 115
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781461224129

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The Athens Conference on Applied Probability and Time Series in 1995 brought together researchers from across the world. The published papers appear in two volumes. Volume II presents papers on time series analysis, many of which were contributed to a meeting in March 1995 partly in honour of E.J. Hannan. The initial paper by P.M. Robinson discusses Ted Hannan's researches and their influence on current work in time series analysis. Other papers discuss methods for finite parameter Gaussian models, time series with infinite variance or stable marginal distribution, frequency domain methods, long range dependent processes, nonstationary processes, and nonlinear time series. The methods presented can be applied in a number of fields such as statistics, applied mathematics, engineering, economics and ecology. The papers include many of the topics of current interest in time series analysis and will be of interest to a wide range of researchers.

Muu info

Springer Book Archives
Memorial Article: Edward J. Hannan, 19211994.- A Note on Chaotic Maps
and Time Series.- Balanced Parametrizations: A Structure Theory for
Identification.- Recent Developments in Analysis of Times Series with
Infinite Variance: A Review.- Foreign Exchange Rates Have Surprising
Volatility.- An Analysis of an Ordinal-Valued Time Series.- On the Use of
Continuous-Time ARMA Models in Time Series Analysis.- An Optimisation
Technique for Robust Autoregressive Estimates.- A Theory of Wavelet
Representation and Decomposition for a General Stochastic Process.- Modeling
the Distribution of Highly Volatile Exchange-Rate Time Series.- Asymptotic
Statistical Inference for Nonstationary Processes with Evolutionary Spectra.-
Inference for Seasonal Moving Average Models with a Unit Root.- General
Kriging for Spatial-Temporal Processes with Random ARX-Regression
Parameters.- Fractional Stochastic Unit Root Processes.- Design of
Moving-Average Trend Filters Using Fidelity and Smoothness Criteria.-
Bandwidth Choice in Gaussian Semiparametric Estimation of Long Range
Dependence.- Some Limit Theorems on Stationary Processes with Long Range
Dependence.- Estimation of the Number of Spectral Lines.- Self-Normalized and
Randomly Centered Spectral Estimates.- Asymptotics of M-Estimators in
Non-Linear Regression with Long-Range Dependent Errors.- Order Selection,
Stochastic Complexity and Kullback-Leibler Information.- Efficiency Gains
from Quasi-Differencing under Nonstationarity.- Estimation of Frequencies.-
Statistical Problems in the Analysis of Underwater Sound.- Bandwidth
Selection for Nonparametric Regression with Long-Range Dependent Errors.- The
Likelihood of an Autoregressive Scheme.- Testing for Serial Independence
Using Measures of Distance between Densities.- Regression inLong-Memory Time
Series.- A Frequency Domain Approach for Estimating Parameters in Point
Process Models.- Higher Order Asymptotic Theory for Tests and Studentized
Statistics in Time Series.- Semi-Parametric Graphical Estimation Techniques
for Long-Memory Data.