A Course in Time Series Analysis (eBook)

DANIEL PEÑA, PhD, is Professor of Statistics, Universidad Carlos III de Madrid. GEORGE C. TIAO, PhD, is W. Allen Wallis Professor of Statistics and Econometrics, Graduate School of Business, University of Chicago. RUEY S. TSAY, PhD, is H. G. B. Alexander Professor of Statistics and Econometrics, Graduate School of Business, University of Chicago.

Introduction (D. Pe?a & G. Tiao).

BASIC CONCEPTS IN UNIVARIATE TIME SERIES.

Univariate Time Series: Autocorrelation, Linear Prediction,Spectrum, State Space Model (G. Wilson).

Univariate Autoregressive Moving Average Models (G. Tiao).

Model Fitting and Checking, and the Kalman Filter (G.Wilson).

Prediction and Model Selection (D. Pe?a).

Outliers, Influential Observations and Missing Data (D.Pe?a).

Automatic Modeling Methods for Univariate Series (V. Gomez & A.Maravall).

Seasonal Adjustment and Signal Extraction in Economic Time Series(V. Gomez & A. Maravall).

ADVANCED TOPICS IN UNIVARIATE TIME SERIES.

Heteroscedatic Models (R. Tsay).

Nonlinear Time Series Models (R. Tsay).

Bayesian Time Series Analysis (R. Tsay).

Nonparametric Time Series Analysis: Nonparametric Regression,Locally Weighted Regression, Autoregression and Quantile Regression(S. Heiler).

Neural Networks (K. Hornik & F. Leisch).

MULTIVARIATE TIME SERIES.

Vector ARMA Models (G. Tiao).

Cointegration in the VAR Model (S. Johansen).

Multivariate Linear Systems (M. Deistler).

References.

Index.

"This text demonstrate how to build time series models forunivariate and multivariate time series data." (SciTech Book News,Vol. 25, No. 2, June 2001)

"...material is thoroughly and carefully presented...a veryuseful addition to any collection both for learning and reference."(Short Book Reviews, Vol. 21, No. 2, August 2001)

"From the preface: ?The book can be used as a principal text ora complementary text for courses in time series.?" (MathematicalReviews, Issue 2001k)

"...an excellent complement...for a first graduate course intime series analysis...a nice addition to anyone?s time serieslibrary." (Technometrics, Vol. 43, No. 4, November 2001)

"If you are familiar with the basics...and need a compass tonavigate the vast world of time series literature, then this bookis certainly what you need to have around...presents seamlessly andcoherently overviews of the current status of time series researchand applications." (The American Statistician, Vol. 56, No. 1,February 2002)

"...an excellent source of introductory surveys of severaltimely topics in time series analysis..." (Statistical Papers, July2002)

"...a nice compendium covering a lot of relevant material..."(Statistics & Decisions, Vol.20, No.4, 2002)