Bøger af Conrad Carlberg

The author clearly explains all the theory students will need to avoid mistakes, understand what regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples.

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 organization-and 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 essential-and when to use both in tandem

Excel at predicting sales and forecasting trends using Microsoft Excel! If you're a sales or marketing professional, you know that forecasting sales is one of the biggest challenges you face on the job.