Lecture 01                Using MatLabLecture 02                Looking At DataLecture 03                Probability and Measurement ErrorLecture 04                Multivariate DistributionsLecture 05                Linear ModelsLecture 06                The Principle of Least SquaresLecture 07                Prior InformationLecture 08                Solving Generalized Least Squares Problems Lecture 09                Fourier SeriesLecture 10                Complex Fourier SeriesLecture 11                Lessons Learned from the Fourier Transform
        Lecture 12                Power SpectraLecture 13                Filter Theory Lecture 14                Applications of Filters Lecture 15                Factor Analysis Lecture 16                Orthogonal functions Lecture 17                Covariance and AutocorrelationLecture 18                Cross-correlationLecture 19                Smoothing, Correlation and SpectraLecture 20                Coherence; Tapering and Spectral Analysis Lecture 21                InterpolationLecture 22                 Hypothesis testing Lecture 23                 Hypothesis Testing continued; F-TestsLecture 24                 Confidence Limits of Spectra, Bootstraps

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