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This Concept Map, created with IHMC CmapTools, has information related to: a3. Preliminary Analysis, The first steps in examining time-series data are to plot the data, do an autocorrelation test and run a Fourier analysis Decomposition is the process of numerically breaking down or transforming each observation into its various components. These components are trend, seasonality, cyclicity, and noise (random deviations)., identify the relative importance of the reasons for the autocorrelation. Removing periodicity and trend are the two chief ways of accounting for excessive variability in the autocorrelation coefficient, The best approach to analyzing data is to measure data at equal time intervals. ???? identify the relative importance of the reasons for the autocorrelation., The first steps in examining time-series data are to plot the data, do an autocorrelation test and run a Fourier analysis identify the relative importance of the reasons for the autocorrelation., Removing periodicity and trend are the two chief ways of accounting for excessive variability in the autocorrelation coefficient ???? Decomposition is the process of numerically breaking down or transforming each observation into its various components. These components are trend, seasonality, cyclicity, and noise (random deviations)., Decomposition is the process of numerically breaking down or transforming each observation into its various components. These components are trend, seasonality, cyclicity, and noise (random deviations). ???? b2. Harmonics, The first steps in examining time-series data are to plot the data, do an autocorrelation test and run a Fourier analysis ???? a8. Fourier Analysis, a3. Preliminary Analysis The best approach to analyzing data is to measure data at equal time intervals., a3. Preliminary Analysis Any time series should be examined carefully before being tested for chaos. Familiarizing yourself with the data is a basic obligation and necessity for research., identify the relative importance of the reasons for the autocorrelation. ???? a4. Autocorrelation, Any time series should be examined carefully before being tested for chaos. Familiarizing yourself with the data is a basic obligation and necessity for research. ???? The best approach to analyzing data is to measure data at equal time intervals., Any time series should be examined carefully before being tested for chaos. Familiarizing yourself with the data is a basic obligation and necessity for research. The first steps in examining time-series data are to plot the data, do an autocorrelation test and run a Fourier analysis