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Unit I
Introduction to Time Series: Basic results of matrix algebra and regression analysis, decomposition into Various Components, free hand curve fitting method and semi-averages method for the determination of Secular Trend, mathematical curve fitting and moving averages for trend component, Seasonal plots, Simple Time Series or Run sequence plot, Seasonal plot, Seasonal subseries plot, Multiple box plots, Cyclical component and its graphical presentation, Methods for the Seasonal Component and Variate Difference Method for estimating variance of irregular variations, Effect of elimination of trend on other components.
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As per the latest IPU syllabus — cross-check electives with your college.
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Time Series Modeling and Forecasting (AIDS304) is a semester 6 subject in the IPU B.Tech AI & DS (Artificial Intelligence and Data Science) (AI-DS) curriculum.
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