A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition. New to the Second Edition New material on empirical Bayes and penalized likelihoods and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models More examples and exercises More comparison between the approaches, including their similarities and differences Designed for advanced undergraduate and graduate courses, the text thoroughly covers statistical inference without delving too deep into technical details. It compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods and models, and exercises are included at the end of each chapter.
São Paulo, by far the most populated state in Brazil, has an economy to rival that of Colombia or Venezuela. Its capital city is the fourth largest metropolitan area in the world. How did São Paulo, once a frontier province of little importance, become one of the most vital agricultural and industrial regions of the world? This volume explores the transformation of São Paulo through an economic lens. Francisco Vidal Luna and Herbert S. Klein provide a synthetic overview of the growth of São Paulo from 1850 to 1950, analyzing statistical data on demographics, agriculture, finance, trade, and infrastructure. Quantitative analysis of primary sources, including almanacs, censuses, newspapers, state and ministerial-level government documents, and annual government reports offers granular insight into state building, federalism, the coffee economy, early industrialization, urbanization, and demographic shifts. Luna and Klein compare São Paulo's transformation to other regions from the same period, making this an essential reference for understanding the impact of early periods of economic growth.
As this book shows, a fascinating chapter of the human evolutionary history has been written in the American continent. In pre-Columbian times, America was inhabited by hunter-gatherer peoples, although, in some places, new technological innovations arose, resulting in the emergence of organized states and cities larger than some important European counterparts. The arrival of the European conquerors and settlers and African slaves dramatically changed the course of this history, however. Despite the turmoil in this post-contact period, some small and isolated communities maintaining hunter-gatherer lifestyles and speaking rare Native languages remained, indicating a scenario that had undergone few changes in thousands of years. This volume constitutes a rich source of information on several topics related to Native American history that will be of interest for professionals in several academic and scientific fields. In addition to demographic, evolutionary, and cultural perspectives, this book considers the revolutionary development of sophisticated laboratory and bioinformatic approaches, using both whole genomes and specific genetic regions to understand classical questions of the past, present, and future not only of Native Americans and their descendants, but of all of humankind.
This is the first complete modern survey of the institution of slavery in Brazil and how it affected the lives of enslaved Africans. It is based on major new research on the institution of slavery and the role of Africans and their descendants in Brazil. This book aims to introduce the reader to this latest research, both to elucidate the Brazilian experience and to provide a basis for comparisons with all other American slave systems.
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition. New to the Second Edition New material on empirical Bayes and penalized likelihoods and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models More examples and exercises More comparison between the approaches, including their similarities and differences Designed for advanced undergraduate and graduate courses, the text thoroughly covers statistical inference without delving too deep into technical details. It compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods and models, and exercises are included at the end of each chapter.
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