In this blog post, You can download Bayesian Analysis Made Simple _ An Excel GUI for WinBUGS (2011) pdf Free download for free in PDF format download with one download.
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Before we share the free PDF download of Bayesian Analysis Made Simple _ An Excel GUI for WinBUGS (2011) (2011) pdf Free download with you, here are a few important details about this book in case you're interested.
Features of Bayesian Analysis Made Simple _ An Excel GUI for WinBUGS (2011) PDF free download:
Although the popularity of the Bayesian approach to statistics has been growing rapidly for many years, among those working in business and industry there are still many who think of it as somewhat esoteric, not focused on practical issues, or generally quite difficult to understand. This view may be partly due to the relatively few books that focus primarily on how to apply Bayesian methods to a wide range of common problems. I believe that the essence of the approach is not only much more relevant to the scientific problems that require statistical thinking and methods, but also much easier to understand and explain to the wider scientific community. But being convinced of the benefits of the Bayesian approach is not enough if the person charged with analyzing the data does not have the computing software tools to implement these methods. Although WinBUGS (Lunn et al. 2000) provides sufficient functionality for the vast majority of data analyses that are undertaken, there is still a steep learning curve associated with the programming language that many will not have the time or motivation to overcome. This book describes a graphical user interface (GUI) for WinBUGS, BugsXLA, the purpose of which is to make Bayesian analysis relatively simple. Since I have always been an advocate of Excel as a tool for exploratory graphical analysis of data (somewhat against the anti-Excel feelings in the statistical community generally), I created BugsXLA as an Excel add-in. Other than to calculate some simple summary statistics from the data, Excel is only used as a convenient vehicle to store the data, plus some meta-data used by BugsXLA, as well as a home for the Visual Basic program itself. Excel also has charting features that are perfectly adequate for many of the graphs needed to begin an exploratory analysis; this is another much criticized feature of Excel, unfairly in my opinion (see Walkenbach (2007) for details of how to get the most from Excel charts). Since BugsXLA resides within Excel, anyone who regularly stores, summarizes, or plots their data using Excel should be particularly interested in this book.
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