Introduction to Time Series and Forecasting

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This book offers an accessible introduction to time series analysis, requiring only basic calculus and statistics. It covers stationary and nonstationary processes, ARMA and ARIMA models, and includes practical exercises using a computer package. Key topics include regression, forecasting algorithms, and state-space models, making it ideal for skill development.