Full Product Details
Author: Phil Woodward
Publisher: Taylor & Francis Ltd
Imprint: Chapman & Hall/CRC
Weight: 0.670kg
ISBN: 9780367576882
ISBN 10: 0367576880
Pages: 342
Publication Date: 30 June 2020
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
...excellent ... for learning or applying [the Bayesian approach]. ... wonderful case studies. Researchers and graduate students should read and familiarize with the software to practice Bayesian concepts. -Journal of Statistical Computation and Simulation, Vol. 84, 2014 One of its strongest features is the case studies for the different models. ... the book clearly and accurately describes how to use BugsXLA. Each model and feature is illustrated with at least one case study. ... this book and the Excel add-in BugsXLA make a nice contribution to the Bayesian ecosystem. They service the niche of applied researchers who want to join the Bayesian parade but find the learning curve of WinBUGS too steep to march up -Peter Lenk, The American Statistician, November 2013 I think that the major strength of this book is the case studies section. The author uses a problem-solving approach, illustrating the methodology by focusing on the aims of the analysis. ... The author's style is rich but clear and comprehensible even for non-technical readers. ... I would recommend this book to statisticians who already know Bayesian theory and MCMC algorithms and understand the use of specific statistical software like WinBUGS or R. For these readers, the book is an excellent manual and a precious source of suggestions to quickly and efficiently implement complex Bayesian linear models in Excel. -Journal of Agricultural, Biological, and Environmental Statistics, Volume 19, Number 1, 2013 The author in writing this text has succeeded in making Bayesian analysis relatively simple through a graphical user interface (GUI) for WinBUGS-BugsXLA, which resides within Excel. ... I recommend the book to anyone contemplating the use of Bayesian methods for the first time and already familiar with Excel for storing, summarizing and plotting basic statistical data. The text provides an ideal introduction to Bayesian approaches using Excel and ultim
Author Information
Phil Woodward was born in 1962 in Ipswich, England. After studying Statistics and Mathematics at Brunel University he joined Rolls-Royce in Derby as a statistician in their Nuclear Division. During this time he studied part-time towards a research degree in which he was introduced to the Bayesian paradigm by the late John Naylor and Sir Adrian Smith. Phil then worked for the now defunct Lucas Automotive Company, initially as the Company Statistician but also in various Quality Management roles. Since 1997 Phil Woodward has worked for Pfizer R&D in the UK. He is currently the Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian methods. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance.
