Jeffrey Scargle has developed practical data analysis methods and applied them to astronomical systems ranging from the Sun, the rings of Saturn, exoplanets, active galaxies, gamma-ray bursts, and the cosmic web. The Lomb–Scargle periodogram and the Bayesian Block algorithm, applicable to all data modes and with various generalizations, are in wide use in astronomical time series analysis.

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• Part I. Time Series Data: 1. The dynamic universe; 2. Statistical and related issues; 3. The many modes of time series; 4. Uncertainty in time series data; 5. Previewing the data; 6. Preprocessing the data; 7. Classical summary statistics and beyond; 8. Preprocessing point measurements; Part II. Time Series Analysis: 9. Optimal segmentation; 10. Bayesian blocks; 11. Linear transforms; 12. Periodograms and omnigrams; 13. Correlation functions; 14. Random processes; 15. Classical time series models; 16. Beyond classical models; 17. Theory and observation meet; 18. Case studies; Glossary, References; Index.

Jeffrey Scargle has developed practical data analysis methods and applied them to astronomical systems ranging from the Sun, the rings of Saturn, exoplanets, active galaxies, gamma-ray bursts, and the cosmic web. The Lomb–Scargle periodogram and the Bayesian Block algorithm, applicable to all data modes and with various generalizations, are in wide use in astronomical time series analysis.

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• Part I. Time Series Data: 1. The dynamic universe; 2. Statistical and related issues; 3. The many modes of time series; 4. Uncertainty in time series data; 5. Previewing the data; 6. Preprocessing the data; 7. Classical summary statistics and beyond; 8. Preprocessing point measurements; Part II. Time Series Analysis: 9. Optimal segmentation; 10. Bayesian blocks; 11. Linear transforms; 12. Periodograms and omnigrams; 13. Correlation functions; 14. Random processes; 15. Classical time series models; 16. Beyond classical models; 17. Theory and observation meet; 18. Case studies; Glossary, References; Index.

Jeffrey Scargle has developed practical data analysis methods and applied them to astronomical systems ranging from the Sun, the rings of Saturn, exoplanets, active galaxies, gamma-ray bursts, and the cosmic web. The Lomb–Scargle periodogram and the Bayesian Block algorithm, applicable to all data modes and with various generalizations, are in wide use in astronomical time series analysis.

Select Guide Rating

• Part I. Time Series Data: 1. The dynamic universe; 2. Statistical and related issues; 3. The many modes of time series; 4. Uncertainty in time series data; 5. Previewing the data; 6. Preprocessing the data; 7. Classical summary statistics and beyond; 8. Preprocessing point measurements; Part II. Time Series Analysis: 9. Optimal segmentation; 10. Bayesian blocks; 11. Linear transforms; 12. Periodograms and omnigrams; 13. Correlation functions; 14. Random processes; 15. Classical time series models; 16. Beyond classical models; 17. Theory and observation meet; 18. Case studies; Glossary, References; Index.