Sabtu, 27 Desember 2014

A Time Series Model-Building Strategy



DINAMIKA RISET WILL HELP YOU TO FINISH YOUR THESIS/DISSERTATION, CONTACT PERSON Wawan 081294635021   
Below are some topics which important for your thesis/dissertation:
A Time Series Model-Building Strategy
Time Series Plots in History
An Overview of the Topic
FUNDAMENTAL CONCEPTS
Time Series and Stochastic Processes
Means, Variances, and Covariances
Stationarity
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Expectation, Variance, Covariance, and Correlation
TRENDS
Deterministic Versus Stochastic Trends
Estimation of a Constant Mean
Regression Methods
Reliability and Efficiency of Regression Estimates
Interpreting Regression Output
Residual Analysis
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MODELS FOR STATIONARY TIME SERIES
General Linear Processes
Moving Average Processes
Autoregressive Processes
The Med Autoregressive Moving Average Model
Invertibility
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The Stationarity Region for an AR Process
CThe Autocorrelation Function for ARMA(p,q)
MODELS FOR NONSTATIONARY TIME SERIES .
Stationarity Through Differencing
ARIMA Models
Constant Terms in ARIMA Models
Other Transformations
DThe Backshift Operator
MODEL SPECIFICATION
Properties of the Sample Autocorrelation Function
The Partial and Extended Autocorrelation Functions
Specification of Some Simulated Time Series
Nonstationarity
Other Specification Methods
Specification of Some Actual Time Series
PARAMETER ESTIMATION
The Method of Moments
Least Squares Estimation
Maximum Likelihood and Unconditional Least Squares
Properties of the Estimates
Illustrations of Parameter Estimation
Bootstrapping ARIMA Models
MODEL DIAGNOSTICS
Residual Analysis
Overfitting and Parameter Redundancy
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