Nonlinear Time Series Nonparametric and Parametric Methods
Amongmanyexcitingdevelopmentsinstatisticsoverthelasttwodecades, nonlineartimeseriesanddata-analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In spite of the fact that the - plication of nonparametric techniques in time seri
- PDF / 4,056,983 Bytes
- 565 Pages / 450 x 684 pts Page_size
- 76 Downloads / 261 Views
Springer
New York Berlin Heidelberg Hong Kong London Milan
Paris
Tokyo
Springer Series in Statistics Andersen/Borgan/GilVKeiding: Statistical Models Based on Counting Processes. Atkinson/Riani: Robust Diagnostic Regression Analysis. Berger: Statistical Decision Theory and Bayesian Analysis, 2nd edition. Borg/Groenen: Modem Multidimensional Scaling: Theory and Applications Brockwell/Davis: Time Series: Theory and Methods, 2nd edition. Chan/Tong: Chaos: A Statistical Perspective. Chen/Shao/Ibrahim: Monte Carlo Methods in Bayesian Computation. David/Edwards: Annotated Readings in the History of Statistics. DevroyelLugosi: Combinatorial Methods in Density Estimation. Efromovich: Nonparametric Curve Estimation: Methods, Theory, and Applications. EggermontILaRiccia: Maximum Penalized Likelihood Estimation, Volume I: Density Estimation. Fahrmeir/Tutz: Multivariate Statistical Modelling Based on Generalized Linear Models, 2nd edition. FanIYao: Nonlinear Time Series: Nonparametric and Parametric Methods. Farebrother: Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900.
Federer: Statistical Design and Analysis for Intercropping Experiments, Volume I: Two Crops. Federer: Statistical Design and Analysis for Intercropping Experiments, Volume II: Three or More Crops. GhoshiRamamoorthi: Bayesian Nonparametrics. Glaz/Naus/Wallenstein: Scan Statistics. Good: Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses, 2nd edition. Gourieroux: ARCH Models and Financial Applications. Gu: Smoothing Spline ANOVA Models. GyiJrfz/Kohler/KrzyZakl Walk: A Distribution-Free Theory of Nonparametric Regression. Haberman: Advanced Statistics, Volume I: Description of Populations. Hall: The Bootstrap and Edgeworth Expansion. Hardie: Smoothing Techniques: With Implementation in S. Ha"ell: Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis Hart: Nonparametric Smoothing and Lack-of-Fit Tests. HastieITibshiranilFriedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction HedayatlSloane/Stujlcen: Orthogonal Arrays: Theory and Applications. Heyde: Quasi-Likelihood and its Application: A General Approach to Optimal Parameter Estimation. Huet/Bouvier/GruetlJolivet: Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples. Ibrahim/Chen/Sinha: Bayesian Survival Analysis. Jolliffe: Principal Component Analysis. (continued after index)
Jianqing Fan Qiwei Yao
Nonlinear Tillle Series Nonparametric and Parametric Methods
Springer
Jianqing Fan Department of Operations Research and Financial Engineering Princeton University Princeton, NJ 08544 USA [email protected]
Qiwei Yao Department of Statistics London School of Economics London WC2A 2AE
UK
[email protected]
Library of Congress Control Number: 2005929335 ISBN-IO: 0-387-26142-7 ISBN-13: 978-0387-26142-7
Printed on acid-free paper.
© 2005 Springer Science+Business Media, Inc. All rights reserved. This work may not be translated or
Data Loading...