There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and 'rusty' calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random sampling. This book gradually climbs all the way to advanced hierarchical modeling methods for realistic data. The text provides complete examples with the R programming language and BUGS software (both freeware), and begins with basic programming examples, working up gradually to complete programs for complex analyses and presentation graphics. These templates can be easily adapted for a large variety of students and their own research needs. The textbook bridges the students from their undergraduate training into modern Bayesian methods. It provides complete examples with R programming language and BUGS software (both Freeware). It addresses topics such as experiment planning, power analysis and sample size planning. It includes numerous exercises with explicit purposes and guidelines for accomplishment.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Descrizione libro Elsevier Science & Technology. Condizione libro: Brand New. Codice libro della libreria 38637786
Descrizione libro Academic Press, 2010. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: "I think it fills a gaping hole in what is currently available, and will serve to create its own market as researchers and their students transition towards the routine application of Bayesian statistical methods._ -Prof. Michael lee, University of California, Irvine, and president of the Society for Mathematical Psychology "Kruschke''s text covers a much broader range of traditional experimental designs.has the potential to change the way most cognitive scientists and experimental psychologists approach the planning and analysis of their experiments" -Prof. Geoffrey Iverson, University of California, Irvine, and past president of the Society for Mathematical Psychology "John Kruschke has written a book on Statistics. It''s better than others for reasons stylistic. It also is better because itis Bayesian. To find out why, buy it -- it''s truly amazin''!_-James L. (Jay) McClelland, Lucie Stern Professor & Chair, Dept. Of Psychology, Standford University "In a December article in The New Yorker, Jonah Lehrer pointed out that some phenomena in the psychology literature are not always repeatable. One reason for this failure to replicate results comes from the kinds of statistics often used in Psychology. We use a procedure called Null Hypothesis Testing that was developed over 100 years ago. More recently, statisticians and psychologists have been working to create a new form of statistical testing based on Bayesian statistics. These methods may help us to avoid publishing studies that are not likely to replicate. John Kruschke published a nice tutorial on how to use these methods." -2010''s top ten advances in psychology on Psychology Today''s blog "The intended audience for this book is a first-year graduate student or advanced undergraduate in the social or biological sciences, but one whose mathematical background is sufficient for them to not be put off by occasional references to calculus. Kruschke also provides a comprehensive solution manual for the exercises in each chapter. He says he has worked on his book for six years and it shows, not least because it has few typographical errors and is well-presented. In summary, this book has several features that could make it preferable to its competitors.it is impressive that Kruschke is able to quickly bring readers up to speed on techniques such as robust regression and repeated-measures regression that would be considered ''''advanced'''' in the conventional NHST curriculum. His extensions from linear regression to logistic, ordinal probit and Poisson regression are very clearly articulated and will outfit students with a very adaptable statistical toolbox. This is the best introductory textbook on Bayesian MCMC techniques I have read, and the most suitable for psychology students. It fills a gap I described in my recent review of six other introductory Bayesian method texts (Smithson, 2010). I look forward to using it in my own teaching, and I recommend it to anyone wishing to introduce graduate or advanced undergraduate students to the emerging Bayesian revolution."-- Journal of Mathematical Psychology "In sum, this is a new kind of textbook to teach a kind of statistical analysis that will be new to its audience. It uses a tutorial approach and instills in its students the tools of the trade: coding, debugging, simulating, and plotting. Though some will surely look down on its folksy tone, its extended analogies and cautious commenting, these measures will probably do much more good than harm. The text has the potential to change the methodological toolbox of a new generation of social scientists, bringing them up to a level of computation, modeling, and analysis that they might not have thought to be within their grasp. Where past approaches to teaching statistics to those in psychology and economics have not lead to widespread insight, this tutorial approach might."-- Journal of Economic Psycholog. Codice libro della libreria ABE_book_new_0123814855
Descrizione libro Academic Press, 2010. Hardcover. Condizione libro: New. book. Codice libro della libreria 0123814855
Descrizione libro Condizione libro: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Codice libro della libreria ABE-190516-5288
Descrizione libro Condizione libro: Brand New. New. US edition. Customer Satisfaction guaranteed!!. Codice libro della libreria SHAK5288
Descrizione libro Academic Press, 2010. Hardcover. Condizione libro: New. 1. Codice libro della libreria DADAX0123814855
Descrizione libro Academic Press, 2010. Hardcover. Condizione libro: New. Codice libro della libreria P110123814855
Descrizione libro Academic Pr, 2010. Hardcover. Condizione libro: Brand New. 1st edition. 672 pages. 9.75x7.75x1.25 inches. In Stock. Codice libro della libreria 0123814855
Descrizione libro Hardcover. Condizione libro: BRAND NEW. BRAND NEW. Fast Shipping. Prompt Customer Service. Satisfaction guaranteed. Codice libro della libreria 0123814855BNA