{"product_id":"bayesian-analysis-with-excel-and-r-9780137580989","title":"Bayesian Analysis with Excel and R","description":"\u003cp\u003e\u003cstrong\u003eLeverage the full power of Bayesian analysis for competitive advantage\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eBayesian methods can solve problems you can't reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel's Bayesian capabilities and move toward R to do even more.\u003c\/p\u003e \u003cp\u003eStep by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan.\u003c\/p\u003e \u003cp\u003eAs you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organization--and yourself.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExplore key ideas and strategies that underlie Bayesian analysis\u003c\/li\u003e \u003cli\u003eDistinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputs\u003c\/li\u003e \u003cli\u003eUse grid approximation to solve simple univariate problems, and understand its limits as parameters increase\u003c\/li\u003e \u003cli\u003ePerform complex simulations and regressions with quadratic approximation and Richard McElreath's quap function\u003c\/li\u003e \u003cli\u003eManage text values as if they were numeric\u003c\/li\u003e \u003cli\u003eLearn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC)\u003c\/li\u003e \u003cli\u003eUse MCMC to optimize execution speed in high-complexity problems\u003c\/li\u003e \u003cli\u003eDiscover when frequentist methods fail and Bayesian methods are essential--and when to use both in tandem\u003c\/li\u003e \u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eConrad Carlberg\u003c\/strong\u003e is a nationally recognized expert on quantitative analysis, data analysis, and management applications such as Microsoft Excel, SAS, and Oracle. He holds a Ph.D. in statistics from the University of Colorado and is a many-time recipient of Microsoft's Excel MVP designation. He is the author of many books, including \u003cem\u003eBusiness Analysis with Microsoft Excel\u003c\/em\u003e, Fifth Edition, \u003cem\u003eStatistical Analysis: Microsoft Excel 2016\u003c\/em\u003e, \u003cem\u003eRegression Analysis Microsoft Excel\u003c\/em\u003e, and \u003cem\u003eR for Microsoft Excel Users\u003c\/em\u003e.\u003c\/p\u003e \u003cp\u003eCarlberg is a Southern California native. After college he moved to Colorado, where he worked for a succession of startups and attended graduate school. He spent two years in the Middle East, teaching computer science and dodging surly camels. After finishing graduate school, Carlberg worked at US West (a Baby Bell) in product management and at Motorola.\u003c\/p\u003e \u003cp\u003eIn 1995 he started a small consulting business (www.conradcarlberg.com), which provides design and analysis services to companies that want to guide their business decisions by means of quantitative analysis--approaches that today we group under the term \"analytics.\" He enjoys writing about those techniques and, in particular, how to carry them out using the world's most popular numeric analysis application, Microsoft Excel.\u003c\/p\u003e\u003cbr\u003e","brand":"Addison-Wesley Professional","offers":[{"title":"Default Title","offer_id":50450010964242,"sku":"9780137580989","price":36.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_09574410-432e-4608-b4c1-2d78ba0474e1.jpg?v=1729748731","url":"https:\/\/surprise-castle.myshopify.com\/products\/bayesian-analysis-with-excel-and-r-9780137580989","provider":"Surprise Castle","version":"1.0","type":"link"}