Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.

    Written by Susan McMurry, the Study Guide and Solutions Manual provide answers and explanations to all in-text and end-of-chapter exercises.

    

    It explores the critical concepts while also examining why they are relevant. The core content is presented within the framework of predicting products, proposing mechanisms, and solving synthesis problems. Readers will fine-tune the key skills involved in solving those types of problems with the help of interactive, step-by-step instructions and problems.

    You may find it for free on the web. Purchase of the Kindle edition includes wireless delivery.

    Exploring the cinematic quality and features offered by hybrid DSLRs, this book empowers the filmmaker to craft visually stunning images inexpensively.Learn to think more like a cinematographer than a videographer, whether shooting for a feature, short fiction, documentary, video journalism, or even a wedding. DSLR Cinema offers insight into different shooting styles, real-world tips and techniques, and advice on postproduction workflow as it guides you in crafting a film-like look.Case studies feature an international cast of cutting edge DSLR shooters today, including Philip Bloom (England), Bernardo Uzeda (Brazil), Rii Schroer (Germany), Jeremy Ian Thomas (United States), Shane Hurlbut, ASC (United States), and Po Chan (Hong Kong). Their films are examined in detail, exploring how each exemplifies great storytelling, exceptional visual character, and how you can push the limits of your DSLR.

    Building from a review of the basic science to the how and why of clinical practice, this text is thorough guide to immunohematology and transfusion practices. It begins with six color plates of which Plate 2 - standardized grading of macroscopic red cell antigen-antibody reactions - is extraordinarily useful. These are actual photomicrographs of immediate spin reactions and at a glance, will automatically assure standardized reporting of the reactions. Chapter on medicolegal and ethical aspects of providing blood collection and transfusion service is simply fascinating reveting reading. An added bonus is the table of blood group characteri stics (antigen, ISBT number, frequency in different ethnicities, expression during life, etc.) on the inside covers at the front and back of the book. Nothing like having a quick complete reference when you need it! This is a great book. Valerie L. Ng, PhD, MD, University of California, San Francisco, California for Doody Review Service.

    Supersized life spans are going to radically alter society, and present an unprecedented opportunity to change our approach not only to old age but to all of life’s stages. The ramifications are just beginning to dawn on us.... yet in the meantime, we keep thinking about, and planning for, life as it used to be lived. In A Long Bright Future, longevity and aging expert Laura Carstensen guides us into the new possibilities offered by a longer life. She debunks the myths and misconceptions about aging that stop us from adequately preparing for the future both as individuals and as a society: that growing older is associated with loneliness and unhappiness, and that only the genetically blessed live well and long. She then focuses on other important components of a long life, including finances, health, social relationships, Medicare and Social Security, challenging our preconceived notions of “old age” every step of the way.

    It has become known for its engaging writing style, instructional art program and focus on active learning. We are so excited to offer a robust learning program with student-focused learning activities, allowing the student to manage their learning while you easily manage their assessment. Detailed reports show how your assignments measure various learning objectives from the book (or input your own!), levels of Bloom's Taxonomy or other categories, and how your students are doing. The Cowan Learning program will save you time and improve your student's success in this course.

    Laura M. Ahearn shows that young Nepalese people are applying their newly acquired literacy skills to love-letter writing, fostering a transition that involves not only a shift in marriage rituals, but also a change in how villagers conceive of their own ability to act and attribute responsibility for events. These developments have potential ramifications that extend far beyond the realm of marriage and well past the Himalayas.The love-letter correspondences examined by Ahearn also provide a deeper understanding of the social effects of literacy. While the acquisition of literary skills may open up new opportunities for some individuals, such skills can also impose new constraints, expectations, and disappointments. The increase in female literacy rates in Junigau in the 1990s made possible the emergence of new courtship practices and facilitated self-initiated marriages, but it also reinforced certain gender ideologies and undercut some avenues to social power, especially for women. Scholars, and students in such fields as anthropology, women's studies, linguistics, development studies, and South Asian studies will find this book ethnographically rich and theoretically insightful. Laura M. Ahearn is Assistant Professor of Anthropology, Rutgers University.

    Included in this edition is a new chapter on the revolutionary topic of quantum computing.

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    This popular Blueprints book has been refined and updated while keeping the concise, organized style and clinical high-yield content of previous editions. Features include USMLE-style questions and answers with full explanations; Key Points in every section; and a color-enhanced design that increases the usefulness of figures and tables.This edition's completely revised art program includes many additional illustrations. Each chapter in this edition ends with evidence-based references (journals) for students to do additional reading/research.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications