{"product_id":"time-series-analysis-and-forecasting-using-python-r","title":"Time Series Analysis and Forecasting using Python \u0026 R","description":"\u003cp\u003eThis book full-color textbook assumes a basic understanding of statistics and mathematical or statistical modeling. Although a little programming experience would be nice, but it is not required.  We use current real-world data, like COVID-19, to motivate times series analysis have three thread problems that appear in nearly every chapter: \"Got Milk?\", \"Got a Job?\" and \"Where's the Beef?\"\u003c\/p\u003e \n\n\u003cp\u003eChapter 1: Loading data in the R-Studio and Jupyter Notebook environments.\u003c\/p\u003e \n\n\u003cp\u003eChapter 2: Components of a times series and decomposition\u003c\/p\u003e \n\n\u003cp\u003eChapter 3: Moving averages (MAs) and COVID-19\u003c\/p\u003e\n\n\u003cp\u003eChapter 4: Simple exponential smoothing (SES), Holt's and Holt-Winter's double and triple exponential smoothing\u003c\/p\u003e\n\n\u003cp\u003eChapter 5: Python programming in Jupyter Notebook for the concepts covered in Chapters 2, 3 and 4\u003c\/p\u003e\n\n\u003cp\u003eChapter 6: Stationarity and differencing, including unit root tests.\u003c\/p\u003e \n\n\u003cp\u003eChapter 7: ARIMA and SARMIA (seasonal) modeling and forecast development\u003c\/p\u003e\n\n\u003cp\u003eChapter 8: ARIMA modeling using Python\u003c\/p\u003e \n\n\u003cp\u003eChapter 9: Structural models and analysis using unobserved component models (UCMs)\u003c\/p\u003e\n\n\u003cp\u003eChapter 10: Advanced time series analysis, including time-series interventions, exogenous regressors, and vector autoregressive (VAR) processes.\u003c\/p\u003e","brand":"BooksWholesale","offers":[{"title":"Hardcover","offer_id":44274488279201,"sku":"9781716451133","price":92.36,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0462\/1120\/3233\/files\/4j22z6-front-shortedge-384_04f31db6-5916-44a6-8754-921d393d9d8e.jpg?v=1714480673","url":"https:\/\/bookswholesale.myshopify.com\/products\/time-series-analysis-and-forecasting-using-python-r","provider":"BooksWholesale","version":"1.0","type":"link"}