Isbn: 9780137580989 - bayesian analysis with excel and r (addison-wesley data & analytics series) (23 Ergebnisse)

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Paperback. Zustand: new. Paperback. Leverage the full power of Bayesian analysis for competitive advantage Bayesian 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. Step 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. As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organizationand yourself. Explore key ideas and strategies that underlie Bayesian analysisDistinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputsUse grid approximation to solve simple univariate problems, and understand its limits as parameters increasePerform complex simulations and regressions with quadratic approximation and Richard McElreath's quap functionManage text values as if they were numericLearn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC)Use MCMC to optimize execution speed in high-complexity problemsDiscover when frequentist methods fail and Bayesian methods are essentialand when to use both in tandem Leverage the full power of Bayesian analysis for competitive advantageBayesian 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.Step by . Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Taschenbuch. Zustand: Neu. Neuware - Leverage the full power of Bayesian analysis for competitive advantageBayesian 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.Step 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.As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organizationand yourself.- Explore key ideas and strategies that underlie Bayesian analysis- Distinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputs- Use grid approximation to solve simple univariate problems, and understand its limits as parameters increase- Perform complex simulations and regressions with quadratic approximation and Richard McElreath's quap function- Manage text values as if they were numeric- Learn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC)- Use MCMC to optimize execution speed in high-complexity problems- Discover when frequentist methods fail and Bayesian methods are essentialand when to use both in tandem.…

Zustand: New. &Uumlber den AutorConrad Carlberg 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 .

Paperback. Zustand: new. Paperback. Leverage the full power of Bayesian analysis for competitive advantage Bayesian 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. Step 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. As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organizationand yourself. Explore key ideas and strategies that underlie Bayesian analysisDistinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputsUse grid approximation to solve simple univariate problems, and understand its limits as parameters increasePerform complex simulations and regressions with quadratic approximation and Richard McElreath's quap functionManage text values as if they were numericLearn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC)Use MCMC to optimize execution speed in high-complexity problemsDiscover when frequentist methods fail and Bayesian methods are essentialand when to use both in tandem Leverage the full power of Bayesian analysis for competitive advantageBayesian 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.Step by . Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…