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Bayesian Data Analysis For Animal Scientists


Bayesian Data Analysis For Animal Scientists
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Bayesian Data Analysis For Animal Scientists


Bayesian Data Analysis For Animal Scientists
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Author : Agustín Blasco
language : en
Publisher: Springer
Release Date : 2017-08-30

Bayesian Data Analysis For Animal Scientists written by Agustín Blasco and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-30 with Technology & Engineering categories.


In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters. The biologist or the agricultural researcher does not normally have a background in Bayesian statistics, having difficulties in following the technical books introducing Bayesian techniques. The difficulties arise from the way of making inferences, which is completely different in the Bayesian school, and from the difficulties in understanding complicated matters such as the MCMC numerical methods. We compare both schools, classic and Bayesian, underlying the advantages of Bayesian solutions, and proposing inferences based in relevant differences, guaranteed values, probabilities of similitude or the use of ratios. We also give a scope of complex problems that can be solved using Bayesian statistics, and we end the book explaining the difficulties associated to model choice and the use of small samples. The book has a practical orientation and uses simple models to introduce the reader in this increasingly popular school of inference.



Doing Bayesian Data Analysis


Doing Bayesian Data Analysis
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Author : John Kruschke
language : en
Publisher: Academic Press
Release Date : 2014-11-11

Doing Bayesian Data Analysis written by John Kruschke and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Mathematics categories.


Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes' rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. - Accessible, including the basics of essential concepts of probability and random sampling - Examples with R programming language and JAGS software - Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) - Coverage of experiment planning - R and JAGS computer programming code on website - Exercises have explicit purposes and guidelines for accomplishment - Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs



Statistics For Veterinary And Animal Science


Statistics For Veterinary And Animal Science
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Author : Aviva Petrie
language : en
Publisher: John Wiley & Sons
Release Date : 2013-02-28

Statistics For Veterinary And Animal Science written by Aviva Petrie and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-28 with Medical categories.


Banish your fears of statistical analysis using this clearly written and highly successful textbook. Statistics for Veterinary and Animal Science Third Edition is an introductory text which assumes no previous knowledge of statistics. It starts with very basic methodology and builds on it to encompass some of the more advanced techniques that are currently used. This book will enable you to handle numerical data and critically appraise the veterinary and animal science literature. Written in a non-mathematical way, the emphasis is on understanding the underlying concepts and correctly interpreting computer output, and not on working through mathematical formulae. Key features: Flow charts are provided to enable you to choose the correct statistical analyses in different situations Numerous real worked examples are included to help you master the procedures Two statistical packages, SPSS and Stata, are used to analyse data to familiarise you with typical computer output The data sets from the examples in the book are available as electronic files to download from the book’s companion website in ASCII, Excel, SPSS, Stata and R Workspace formats, allowing you to practice using your own software and fully get to grips with the techniques A clear indication is provided of the more advanced or obscure topics so that, if desired, you can skip them without loss of continuity. New to this edition: New chapter on reporting guidelines relevant to veterinary medicine as a ready reference for those wanting to follow best practice in planning and writing up research New chapter on critical appraisal of randomized controlled trials and observational studies in the published literature: a template is provided which is used to critically appraise two papers New chapter introducing specialist topics: ethical issues of animal investigations, spatial statistics, veterinary surveillance, and statistics in molecular and quantitative genetics Expanded glossaries of notation and terms Additional exercises and further explanations added throughout to make the book more comprehensive. Carrying out statistical procedures and interpreting the results is an integral part of veterinary and animal science. This is the only book on statistics that is specifically written for veterinary science and animal science students, researchers and practitioners.



Bayesian Data Analysis Second Edition


Bayesian Data Analysis Second Edition
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Author : Andrew Gelman
language : en
Publisher: CRC Press
Release Date : 2003-07-29

Bayesian Data Analysis Second Edition written by Andrew Gelman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-29 with Mathematics categories.


Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collection Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.



Advances In Intelligent Data Analysis


Advances In Intelligent Data Analysis
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Author : David J Hand
language : en
Publisher: Springer
Release Date : 2003-05-21

Advances In Intelligent Data Analysis written by David J Hand and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-21 with Computers categories.


This book constitutes the refereed proceedings of the Third International Symposium on Intelligent Data Analysis, IDA-99 held in Amsterdam, The Netherlands in August 1999. The 21 revised full papers and 23 posters presented in the book were carefully reviewed and selected from a total of more than 100 submissions. The papers address all current aspects of intelligent data analysis; they are organized in sections on learning, visualization, classification and clustering, integration, applications and media mining.



Multi Layered Genome Wide Association Prediction In Animals


Multi Layered Genome Wide Association Prediction In Animals
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Author : Ruidong Xiang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-04-29

Multi Layered Genome Wide Association Prediction In Animals written by Ruidong Xiang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-29 with Science categories.




Bayesian Data Analysis In Ecology Using Linear Models With R Bugs And Stan


Bayesian Data Analysis In Ecology Using Linear Models With R Bugs And Stan
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Author : Franzi Korner-Nievergelt
language : en
Publisher: Academic Press
Release Date : 2015-04-04

Bayesian Data Analysis In Ecology Using Linear Models With R Bugs And Stan written by Franzi Korner-Nievergelt and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-04 with Science categories.


Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. - Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest - Written in a step-by-step approach that allows for eased understanding by non-statisticians - Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data - All example data as well as additional functions are provided in the R-package blmeco



Statistics For Veterinary And Animal Science


Statistics For Veterinary And Animal Science
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-03-05

Statistics For Veterinary And Animal Science written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Mathematics categories.


EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.



Animal Breeding And Genetics


Animal Breeding And Genetics
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Author : Matthew L. Spangler
language : en
Publisher: Springer Nature
Release Date : 2022-11-01

Animal Breeding And Genetics written by Matthew L. Spangler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-01 with Medical categories.


This newly updated and revised volume of the Encyclopedia of Sustainability Science and Technology (ESST) details the role of Animal Breeding and Genetics in the sustainability of animal agriculture. The volume covers scientific principles and applications includes the current science used to advance cattle, poultry, swine,sheep, and equine populations, as well as the future role of techniques such as gene editing. International leaders in the field explain foundational concepts such as heritability, the covariance between relatives, statistical approaches to predicting the genetic merit of individuals, and the development and advancement of molecular techniques to elucidate changes in the DNA sequence that underly phenotypic variation. The use of genetic-based tools to improve animal agriculture and meet consumer demands across species is treated in detail. Readers will gain an understanding of how global livestock producers have implemented advanced genetic selection tools and used them to improve reproduction, production, efficiency, health, and sustainability. The interactions of genetics and production environments, and the genetic components of the complex interactions among animals are also discussed. The future of Animal Breeding and Genetics, including the challenges and opportunities that exist in feeding a growing world population, are addressed.



Feed Evaluation Science


Feed Evaluation Science
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Author : Paul J. Moughan
language : en
Publisher: BRILL
Release Date : 2018-01-24

Feed Evaluation Science written by Paul J. Moughan and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-24 with Technology & Engineering categories.


Written by a team of international authorities, Feed Evaluation Science, is a must-have for students, researchers, postdoctoral fellows and teachers of animal nutrition, as well as practitioners in the feed industry. The text offers a classical treatment of the basic principles and new developments in feed evaluation for simple-stomached animals with emphasis on pigs and poultry. The chapters follow a logical progression, to provide a coherent in-depth coverage of the key science and technology inherent in the nutrition and feeding of animals. The topics covered are nutrient analysis and characterisation, nutrient-bioavailability, post-absorptive nutrient utilisation, the principles of animal growth and the mathematical modelling of growth. Practical aspects of feed processing, anti-nutritional factors, the use of markers in nutrition studies, predicting bioavailable nutrients and the principles of feed formulation are highlighted in the context of pig, poultry and companion animal nutrition. This is a classic text on the nutrition of simple-stomached animals, and is intended for those working at the forefront of developments in feed evaluation science."