{"title":"Andy Pole","description":"\u003cp\u003eAndy Pole's works delve into the intricate world of statistical methods, particularly focusing on Bayesian forecasting and time series analysis. His books offer rigorous exploration of these concepts, making them invaluable for readers interested in advanced data analysis and applied statistics within the realm of science and nature.\u003c\/p\u003e\n\n\u003cp\u003eThrough clear exposition and practical examples, Andy Pole guides readers to a deeper understanding of probabilistic modelling and predictive techniques. His writing is suited to those seeking to enhance their expertise in quantitative methods and their applications in scientific research.\u003c\/p\u003e","products":[{"product_id":"applied-bayesian-forecasting-and-time-series-analysis-by-andy-pole-9780367449384","title":"Applied Bayesian Forecasting and Time Series Analysis","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003ePractical in its approach, \u003cem\u003eApplied Bayesian Forecasting and Time Series Analysis\u003c\/em\u003e provides the theories, methods, and tools necessary for forecasting and the analysis of time series. The authors unify the concepts, model forms, and modelling requirements within the framework of the dynamic linear model (DLM).\u003c\/p\u003e\n\n\u003cp\u003eThey include a complete theoretical development of the DLM and illustrate each step with analysis of time series data. Using real data sets, the authors explore diverse aspects of time series, including how to identify, structure, explain observed behaviour, model structures and behaviours, and interpret analyses to make informed forecasts.\u003c\/p\u003e\n\n\u003cp\u003eIllustrate concepts such as component decomposition, fundamental model forms including trends and cycles, and practical modelling requirements for routine change and unusual events. Conduct all analyses in the BATS computer programs, furnishing online that program and the more than 50 data sets used in the text.\u003c\/p\u003e\n\n\u003cp\u003eThe result is a clear presentation of the Bayesian paradigm: quantified subjective judgements derived from selected models applied to time series observations. Accessible to undergraduates, this unique volume also offers complete guidelines valuable to researchers, practitioners, and advanced students in statistics, operations research, and engineering.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605015281900,"sku":"9780367449384","price":146.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780367449384-applied-bayesian-forecasting-and-time-series-analysis.jpg?v=1778120028"}],"url":"https:\/\/bookhero.co.nz\/collections\/andy-pole.oembed","provider":"Book Hero","version":"1.0","type":"link"}