To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples.

    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 collectionBayesian 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.

    Its practical, clinical perspective and user-friendly writing style engage the reader in a learning process that both informs and enlightens. Clinical chapters progress consistently and logically from theory to application. Specific psychobiological disorders are organized from moderate to severe along the mental health continuum. The nursing process is the strong, visible framework throughout.User-friendly writing style and a full-color design make psychiatric nursing content come alive! Case studies and personal stories show a compassion and understanding unique among psychiatric nursing texts. Special features are easily located and identified.Nursing process framework provides a strong underpinning for all clinical chapters. A sixth step, Outcome Criteria, identifies specific patient outcomes, then justifies the subsequent nursing interventions based on results.Assessment Guidelines boxes provide summary points for client assessment.Spiritual assessment is found in Assessment Strategies and the Nursing Process and Care for the Dying and for Those Who Grieve.Biologic Basis for Understanding Psychotropic Drugs lays the foundation for the study of psychotropic drug therapy to treat psychobiologic disorders.Care for the Dying and for Those Who Grieve chapter provides holistic nursing interventions related to end-of-life care for clients and families.Case Studies and Nursing Care Plans present individualized histories of clients with specific psychiatric disorders, and include interventions with rationales and evaluation statements for each client goal.Vignettes offer brief, descriptive characterizations of clients with specific psychiatric disorders.A Nurse Speaks spotlights individual psychiatric nurses and their personal stories.Key Terms and Concepts with page number references allow for quick review.Critical Thinking and Chapter Review sections offer scenario-based critical thinking problems and NCLEX-style multiple-choice questions, allowing students to test themselves on the chapter content.Nurse, Client, and Family Resources lists are provided on the book's Evolve website.A dynamic author team offers a breadth of experience in nursing education and practice.Tear-out Comprehensive Psychiatric Assessment Card is a valuable tool for students to use in clinicals.Completely revised Culturally Relevant Mental Health Nursing: A Global Perspective provides basic information on culture, worldviews, and what is necessary for culturally competent care.Psychiatric Forensic Nursing discusses this new and expanding specialty involving nursing, forensics, and the criminal justice system.Forensic Highlights boxes focus on the nurse's role in dealing with sexual assault, family violence, and incarcerated persons.Evidence-Based Practice boxes demonstrate how research findings affect psychiatric nursing practice and standards of care.Integrative Therapy boxes discuss the increasing popularity and significance of complementary and alternative therapies.Culturally Speaking boxes reinforce the importance of culturally competent care.A Client Speaks and A Family Speaks bring to life disorders and their effects on clients, their families, and those who care for them.Back by popular demand: communication tables in The Clinical Interview and Communication Skills.Key Points to Remember appear at the end of each chapter to reinforce essential information.

    In studying number theory from such a perspective, mathematics majors are spared repetition and provided with new insights, while other students benefit from the consequent simplicity of the proofs for many theorems.Among the topics covered in this accessible, carefully designed introduction are multiplicativity-divisibility, including the fundamental theorem of arithmetic, combinatorial and computational number theory, congruences, arithmetic functions, primitive roots and prime numbers. Later chapters offer lucid treatments of quadratic congruences, additivity (including partition theory) and geometric number theory.Of particular importance in this text is the author's emphasis on the value of numerical examples in number theory and the role of computers in obtaining such examples. Exercises provide opportunities for constructing numerical tables with or without a computer. Students can then derive conjectures from such numerical tables, after which relevant theorems will seem natural and well-motivated..

    But all too often, even the most respected publications present numbers that are miscalculated, misinterpreted, hyped, or simply misleading. Following on the heels of his highly acclaimed Damned Lies and Statistics and More Damned Lies and Statistics, Joel Best now offers this practical field guide to help everyone identify questionable statistics. Entertaining, informative, and concise, Stat-Spotting is essential reading for people who want to be more savvy and critical consumers of news and information.Stat-Spotting features:* Pertinent examples from today's news, including the number of deaths reported in Iraq, the threat of secondhand smoke, the increase in the number of overweight Americans, and many more* A commonsense approach that doesn't require advanced math or statistics

    I. is explored and explained in this best selling text. Assuming no prior knowledge, it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.

    With millions of copies sold, the Publication Manual of the American Psychological Association is the style manual of choice for writers, editors, students, educators, and professionals in psychology, sociology, business, economics, nursing, social work, and justice administration, and other disciplines in which effective communication with words and data is fundamental.In addition to providing clear guidance on grammar, the mechanics of writing, and APA style, the Publication Manual offers an authoritative and easy-to-use reference and citation system and comprehensive coverage of the treatment of numbers, metrication, statistical and mathematical data, tables, and figures for use in writing, reports, or presentations. The new edition has been revised and updated to include: The latest guidelines and examples for referencing electronic and online sources New and revised guidelines for submitting papers electronically Improved guidelines for avoiding plagiarism Simplified formatting guidelines for writers using up-to-date word-processing software All new guidelines for presenting case studies Improved guidelines for the construction of tables Updates on copyright and permissions issues for writers New reference examples for audiovisual media and patents An expanded and improved index for quick and easy access Writers, scholars, and professionals will also find: New guidelines on how to choose text, tables, or figures to present data Guidelines for writing cover letters for submitting articles for publication, plus a sample letter Expanded guidelines on the retention of raw data New advice on establishing written agreements for the use of shared data New information on the responsibilities of co-authors New and experienced readers alike will find the 5th Edition a complete resource for writing, presenting, or publishing with clarity and persuasiveness.Approximately 400 pages

    This edition contains NEW tables on Properties of Ionic Liquids, Solubilities of Hydrocarbons in Sea Water, Solubility of Organic Compounds in Superheated Water, and Nutritive Value of Foods. It also updates many tables including Critical Constants, Heats of Vaporization, Aqueous Solubility of Organic Compounds, Vapor Pressure of Mercury, Scientific Abbreviations and Symbols, and Bond Dissociation Energies. The 88th Edition also presents a new Foreword written by Dr. Harold Kroto, a 1996 Nobel Laureate in Chemistry.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    This title enables students to grasp key sociological concepts and learn the useful lesson that there is much that goes on in the social world that escapes the sociologically untrained eye.

    Probing questions, the same ones that students often bring to the course, frame readable chapters that are packed with the most up-to-date scholarship available—in language students will understand. The authors use memorable examples mined from pop culture, history, psychology, biology, and everyday life to truly engage students in the study of gender and spark interest in sociological perspectives.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    Therefore, while students still learn the skills necessary to design research, the book emphasizes the quantitative reasoning skills students need to become systematic and critical consumers of information. Examples from a variety of sources capture students' interest, and the innovative pedagogical framework ensures that students will retain and be able to apply what they learn.