{"product_id":"time-series-analysis-lecture-notes-with-examples-in-r-9798274452922","title":"Time Series Analysis: Lecture Notes with Examples in R","description":"\u003cp\u003e • Author(s): Yulia R. Gel | Vyacheslav Lyubchich\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Statistics\u003c\/p\u003e\u003cp\u003eThis is a collection of lecture notes on applied time series analysis and forecasting using the statistical programming language R. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eMany of these lectures are based on the original notes by Y. R. Gel and C. Cutler for the course STAT-443 *Forecasting* (University of Waterloo, Canada) adapted and expanded by V. Lyubchich for the course MEES-713 *Environmental Statistics 2* (University of Maryland, USA). \u003cp\u003e\u003c\/p\u003eEach lecture starts by listing the learning objectives and required reading materials, with additional references in the text.\u003cbr\u003eThe notes introduce the methods and give a few examples but are less detailed than the reading materials. The notes do not substitute a textbook. The audience is expected to be familiar with R programming and the following statistical concepts and methods: probability distributions, sampling inference and hypothesis testing, correlation analysis, and regression analysis (including simple and multiple linear regression, mixed-effects models, generalized linear models, and generalized additive models).","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46862543388823,"sku":"9798274452922","price":2620.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798274452922.webp?v=1769966656","url":"https:\/\/atlanticbooks.com\/products\/time-series-analysis-lecture-notes-with-examples-in-r-9798274452922","provider":"Atlantic Books","version":"1.0","type":"link"}