Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures. In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributions Computational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies covering advanced topics illustrate the flexibility of the Bayesian approach: Semiparametric regression Handling of missing data using predictive distributions Priors for high-dimensional regression models Computational techniques for large datasets Spatial data analysis The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the book’s website. Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award. Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute.
A summary of the career of Brian Vincent, a recognised expert in the field of colloid science, as well as an autobiographical summary of his impact on the field.
This book seeks to enhance our understanding of acids and bases by reviewing and analysing their behaviour in non-aqueous solvents. The behaviour is related where possible to that in water, but correlations and contrasts between solvents are also presented.
This accessible text provides a concise but comprehensive introduction to the biology of global grasslands. Grasslands are vast in their extent, with native and non-native grasslands now covering approximately 50% of the global terrestrial environment. They are also of vital importance to humans, providing essential ecosystem services and some of the most important areas for the production of food and fibre worldwide. It has been estimated that 60% of calories consumed by humans originate from grasses, and most grain consumed is produced in areas that were formerly grasslands or wetlands. Grasslands are also important because they are used to raise forage for livestock, represent a source of biofuels, sequester vast amounts of carbon, provide urban green-space, and hold vast amounts of biodiversity. Intact grasslands contain an incredibly fascinating set of plants, animals, and microbes that have interested several generations of biologists, generating pivotal studies to important theoretical questions in ecology. As with other titles in the Biology of Habitats Series, the emphasis is on the organisms that dominate this environment although restoration, conservation, and experimental aspects are also considered.
Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures. In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributions Computational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies covering advanced topics illustrate the flexibility of the Bayesian approach: Semiparametric regression Handling of missing data using predictive distributions Priors for high-dimensional regression models Computational techniques for large datasets Spatial data analysis The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the book’s website. Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award. Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute.
This book is the first economic history of ancient Egypt covering the entire pharaonic period, 3000–30 BCE, and employing a New Institutional Economics approach. It argues that the ancient Egyptian state encouraged an increasingly widespread and sophisticated use of writing through time, primarily in order to better document and more efficiently exact taxes for redistribution. The increased use of writing, however, also resulted in increased documentation and enforcement of private property titles and transfers, gradually lowering their transaction costs relative to redistribution. The book also argues that the increasing use of silver as a unified measure of value, medium of exchange, and store of wealth also lowered transaction costs for high value exchanges. The increasing use of silver in turn allowed the state to exact transfer taxes in silver, providing it with an economic incentive to further document and enforce private property titles and transfers.
The current volume continues the tradition of the Organic Syntheses series, providing carefully checked and edited experimental procedures that describe important synthetic methods, transformations, reagents, and synthetic building blocks or intermediates with demonstrated utility in organic synthesis. These significant and interesting procedures should prove worthwhile to many synthetic chemists working in increasingly diverse areas. A trusted guide for professionals in organic and medicinal chemistry in academia, government, and industries, including pharmaceuticals, fine chemicals, agrochemicals, and biotechnological products.
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