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Time Series Analysis

Intro Page
Data Analysis-Data Mining
Mathematical Statistics
Statistical Theory
Stochastic Processes and Probability Theory
Linear Regression Analysis and Analysis of Variance
GLM's and Applied Statistical Methodology
Multivariate Statistics
Bayesian Statistics
Non-Parametric Statistics
Computational Statistics, Simulation
Time Series Analysis
Statistical Qualit y Control
Robust Statistics
Longitudinal Data Analysis
Medical Statistics
Statistics of the Environment/ Ecology
Social Statistics
Statistical PACKAGES
Statistical Applets and Calculators

Time series analysis by Jan Grandell - 129 pages -

Time Series, by A.W. van der Vaart -212 pages-

Time series analysis by Ross Ihaka - 111 pages -

Lecture notes on Time Series by Richard L. Smith -120 pages-

Time series analysis lecture notes by Dewei Wang - 150 pages -

Time series analysis by Jan Grandell -129 pages-

Statistical Modelling of Financial Time Series: An introduction by Kjersti Aas and Xeni K. Dimakos -41 pages-

Graphical Tools for Exploring and Analyzing Data from ARIMA Time Series Models by William Q. Meeker -73 pages-

Stationary Time Series Models, by Wei -17 pages- (Chap 3)

Forecasting, by Wei -9 pages- (Chap 5)

Model Identification, by Wei -15 pages- (Chap 6)

Parameter Estimation, Diagnostic Checking and Model Selection -12 pages- (Chap 7)

Lecture notes by E.Bora Senta and Dimitris Kougioumtzis -Moving Average Technique, Predictions -pages in greek-

The Spatial Analysis of Time Series by Joon Y. Park -61 pages-

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