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Time Series: Data Analysis and Theory.
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1976
Year
EngineeringComplex Function TheoryStatistical Signal ProcessingData ScienceFinancial Time Series AnalysisTimefrequency AnalysisStatisticsNonlinear Time SeriesTime Series ResearchersFourier AnalysisForecastingMatrix AnalysisSignal ProcessingTime Series AnalysisBusinessEconometricsUpper Division CourseRandom MatrixTrend Analysis
This book will be most useful to applied mathematicians, communication engineers, signal processors, statisticians, and time series researchers, both applied and theoretical. Readers should have some background in complex function theory and matrix algebra and should have successfully completed the equivalent of an upper division course in statistics.