Bayesian Statistics in Action, Raffaele Argiento; Ettore Lanzarone; Isadora Anton
Автор: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 35369.00 р. Наличие на складе: Поставка под заказ.
Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.
Описание: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.
Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.
Описание: Proceedings of the Frontis workshop on Bayesian Statistics and quality modelling in the agro-food production chain, held in Wageningen, The Netherlands, 1-14 May 2003
Описание: The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.
Название: Bayesian Statistics ISBN: 1118332571 ISBN-13(EAN): 9781118332573 Издательство: Wiley Рейтинг: Цена: 7120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.
Название: Bayesian Statistics 2e ISBN: 0470141158 ISBN-13(EAN): 9780470141151 Издательство: Wiley Цена: 13226.00 р. Наличие на складе: Поставка под заказ.
Описание: Praise for the First Edition - 'I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to
introduce Bayesian statistics' - "Statistics in Medical Research". '[This book] is written in a lucid conversational style, which is so rare in mathematical writings. It does an excellent job of
presenting Bayesian statistics as a perfectly reasonable approach to elementary problems in statistics' - "STATS: The Magazine for Students of Statistics", American Statistical
Association.
'Bolstad offers clear explanations of every concept and method making the book accessible and valuable to undergraduate and graduate students alike' -
"Journal of Applied Statistics".The use of Bayesian methods in applied statistical analysis has become increasingly popular, yet most introductory statistics texts continue to only present
the subject using frequentist methods. "Introduction to Bayesian Statistics, Second Edition" focuses on Bayesian methods that can be used for inference, and it also addresses how
these methods compare favorably with frequentist alternatives. Teaching statistics from the Bayesian perspective allows for direct probability statements about parameters, and this
approach is now more relevant than ever due to computer programs that allow practitioners to work on problems that contain many parameters.This book uniquely covers the topics
typically found in an introductory statistics book-but from a Bayesian perspective-giving readers an advantage as they enter fields where statistics is used.
This Second Edition
provides: an extended coverage of Poisson and Gamma distributions; two new chapters on Bayesian inference for Poisson observations and Bayesian inference for the standard
deviation for normal observations; a twenty-five percent increase in e
ercises with selected answers at the end of the book; a calculus refresher appendix and a summary on the use of statistical tables; and, new computer exercises that use R functions
and Minitab[registered] macros for Bayesian analysis and Monte Carlo simulations. "Introduction to Bayesian Statistics, Second Edition" is an invaluable textbook for advanced
undergraduate and graduate-level statistics courses as well as a practical reference for statisticians who require a working knowledge of Bayesian statistics.
Автор: Bolstad Название: Understanding Computational Bayesian Statistics ISBN: 0470046090 ISBN-13(EAN): 9780470046098 Издательство: Wiley Рейтинг: Цена: 20267.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach.
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