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DAOPHOT II: The Next
Time Series Analysis
Introduction
Basic principles of time series analysis
Signals and their models
Signal detection
Test statistics
Corrections to the probability distribution
Power of test statistics
Time domain analysis
Presentation and inspection of results
Parameter estimation
Fourier analysis: The sine model
Fourier transforms
The power spectrum and covariance statistics
Sampling patterns
MIDAS utilities for time series analysis
Scope of applications
The TSA environment
Input data format
Output data format
Fourier analysis
Time series analysis in the frequency domain
Analysis in the time domain
Auxiliary utilities
Command summary
Examples
Period analysis
Comparison of two stochastic processes
Petra Nass
1999-06-15
