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Essentials of Precalculus with Calculus Previews
by Dennis G. Zill Jacqueline M. DewarEssentials of Precalculus with Calculus Previews, Sixth Edition, is an ideal undergraduate text to help students successfully transition into a future course in calculus. The Sixth Edition of this best-selling text presents the fundamental mathematics used in a typical calculus sequence in a focused and readable format. Dennis G. Zill’s concise, yet eloquent, writing style allows instructors to cover the entire text in one semester. Essentials of Precalculus with Calculus Previews, Sixth Edition uses a vibrant full-color design to illuminate key concepts and improves students' comprehension of graphs and figures. This text also includes a valuable collection of student and instructor resources, making it a complete teaching and learning package.
Essentials of Probability Theory for Statisticians (Chapman & Hall/CRC Texts in Statistical Science)
by Michael A. Proschan Pamela A. Shaw<p>Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. <p>After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. <p>This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.</p>
Essentials of Research Design and Methodology
by Marczyk Geoffrey R. David Dematteo David FestingerMaster the essential skills for designing and conducting a successful research project Essentials of Research Design and Methodology contains practical information on how to design and conduct scientific research in the behavioral and social sciences. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style. The text offers students and practitioners in the behavioral sciences and related disciplines important insights into identifying research topics, variables, and methodological approaches. Data collection and assessment strategies, interpretation methods, and important ethical considerations also receive significant coverage in this user-friendly guide. Essentials of Research Design and Methodology is the only available resource to condense the wide-ranging topics of the field into a concise, accessible format for handy and quick reference. As part of the Essentials of Behavioral Science series, this book offers a thorough review of the most relevant topics in research design and methodology. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as "Test Yourself" questions that help you gauge and reinforce your grasp of the information covered.
Essentials of Risk Theory
by Martin Peterson Sabine Roeser Per Sandin Rafaela HillerbrandRisk has become one of the main topics in fields as diverse as engineering, medicine and economics, and it is also studied by social scientists, psychologists and legal scholars. This Springer Essentials version offers an overview of the in-depth handbook and highlights some of the main points covered in the Handbook of Risk Theory. The topic of risk also leads to more fundamental questions such as: What is risk? What can decision theory contribute to the analysis of risk? What does the human perception of risk mean for society? How should we judge whether a risk is morally acceptable or not? Over the last couple of decades questions like these have attracted interest from philosophers and other scholars into risk theory. This brief offers the essentials of the handbook provides for an overview into key topics in a major new field of research and addresses a wide range of topics, ranging from decision theory, risk perception to ethics and social implications of risk. It aims to promote communication and information among all those who are interested in theoretical issues concerning risk and uncertainty. The Essentials of Risk Theory brings together internationally leading philosophers and scholars from other disciplines who work on risk theory. The contributions are accessibly written and highly relevant to issues that are studied by risk scholars. The Essentials of Risk Theory will be a helpful starting point for all risk scholars who are interested in broadening and deepening their current perspectives.
Essentials of Social Statistics for a Diverse Society
by Anna Y. Leon-Guerrero Chava Frankfort-NachmiasEssentials of Social Statistics for a Diverse Society is a briefer version of the successful Social Statistics for a Diverse Society now in its 6th edition. As in the parent text, the context of diversity, illustrated through the use of real data in examples from contemporary social issues, will continue to differentiate this briefer statistics text. Better illustrated with more interesting examples and exercises with aá focus on student learning, will set this book apart from its competitors. Features and Benefits: - The book's informal writing style -- coupled with the use of real-world examples makes the book more accessible and engaging for students. - A focus on race, class, gender and other aspects of social diversity sets the book apart from others in the field and mirrors the major emphasis in the social sciences today. - Reading the Research Literature sections in most chapters help students read and interpret statistical information in professional and scholarly publications. - Learning Checks within chapters engage students in reviewing key concepts and techniques. - Statistics in Practice extended examples show students applications to meaningful social issues. - Heavily illustrated with many charts, tables and graphs - Extensive end of chapter exercise sets.
Essentials of Social Statistics for a Diverse Society
by Dr Anna Leon-Guerrero Dr Chava Frankfort-NachmiasEssentials of Social Statistics for a Diverse Society, Second Edition provides students with a briefer, less expensive version of the successful Social Statistics for a Diverse Society, now in its Seventh Edition. As in the parent text, this concise statistics text puts a strong emphasis on the theme of diversity, which is illustrated through the use of real data in examples from contemporary social issues. The book’s informational and inviting writing style, coupled with the use of real-world examples and data applications, makes the book a more accessible and engaging resource for students.
Essentials of Social Statistics for a Diverse Society
by Dr Anna Leon-Guerrero Dr Chava Frankfort-NachmiasEssentials of Social Statistics for a Diverse Society, Third Edition, is a more streamlined, less expensive version of the successful Social Statistics for a Diverse Society. It is distinct for the use of real data from contemporary social issues and for a strong emphasis on race, class, gender, and other statuses. With a wide range of examples and exercises taken from current events and published research, frequent illustrations, and a focus on student learning, this book continues to be an accessible and engaging resource for students.
Essentials of Social Statistics for a Diverse Society
by Dr Anna Leon-Guerrero Dr Chava Frankfort-NachmiasEssentials of Social Statistics for a Diverse Society, Third Edition, is a more streamlined, less expensive version of the successful Social Statistics for a Diverse Society. It is distinct for the use of real data from contemporary social issues and for a strong emphasis on race, class, gender, and other statuses. With a wide range of examples and exercises taken from current events and published research, frequent illustrations, and a focus on student learning, this book continues to be an accessible and engaging resource for students.
Essentials of Social Statistics for a Diverse Society
by Georgiann Davis Dr. Chava Frankfort-Nachmias Dr. Anna Y. Leon-GuerreroEssentials of Social Statistics for a Diverse Society, by Anna Leon-Guerrero, Chava Frankfort-Nachmias, and Georgiann Davis, is a briefer version of the successful Social Statistics for a Diverse Society, and as in the parent text, the use of real data about contemporary social issues sets this book apart from others in the field. The text explains how to compute and interpret basic descriptive and inferential statistics while teaching and reinforcing important sociological concepts. In every chapter, the authors demonstrate how statistics is an important tool for studying and understanding the role of race, class, gender, and other statuses in a pluralistic society like the United States.
Essentials of Social Statistics for a Diverse Society
by Georgiann Davis Dr. Chava Frankfort-Nachmias Dr. Anna Y. Leon-GuerreroEssentials of Social Statistics for a Diverse Society, by Anna Leon-Guerrero, Chava Frankfort-Nachmias, and Georgiann Davis, is a briefer version of the successful Social Statistics for a Diverse Society, and as in the parent text, the use of real data about contemporary social issues sets this book apart from others in the field. The text explains how to compute and interpret basic descriptive and inferential statistics while teaching and reinforcing important sociological concepts. In every chapter, the authors demonstrate how statistics is an important tool for studying and understanding the role of race, class, gender, and other statuses in a pluralistic society like the United States.
Essentials of Statistics for Business and Economics
by David Anderson Thomas Williams Dennis Sweeney Michael Fry Jeffrey Camm James Cochran Jeffrey OhlmannDiscover how statistical information impacts decisions in today's business world as Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 9E connects concepts in each chapter to real-world practice. This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that reflect the latest developments in business and statistics today. More than 350 new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action. You gain practice using leading professional statistical software with exercises and appendices that walk you through using JMP Student Edition 14 and Excel 2016. WebAssign's online course management systems is available separately to further strengthen this business statistics approach and helps you maximize your course success.
Essentials of Statistics for Criminology and Criminal Justice: Paternoster: Essentials Of Statistics For Criminology And Criminal Justice + Spss 23. 0
by Raymond Paternoster Ronet D. BachmanEssentials of Statistics for Criminology and Criminal Justice helps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems. This practical, applied approach offers students the fundamentals of descriptive and inferential statistics in a concise and easy-to-understand format—avoiding complicated proofs and discussions of statistical theory. The examples and case studies provide relevant examples for criminology and criminal justice students, and deal with contemporary issues related to crime, corrections, police, and the judicial system. Students will not only learn about the "how to" in statistics, but they will also recognize its importance in today’s criminal justice system.
Essentials of Statistics for Criminology and Criminal Justice: Paternoster: Essentials Of Statistics For Criminology And Criminal Justice + Spss 23. 0
by Raymond Paternoster Ronet D. BachmanEssentials of Statistics for Criminology and Criminal Justice helps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems. This practical, applied approach offers students the fundamentals of descriptive and inferential statistics in a concise and easy-to-understand format—avoiding complicated proofs and discussions of statistical theory. The examples and case studies provide relevant examples for criminology and criminal justice students, and deal with contemporary issues related to crime, corrections, police, and the judicial system. Students will not only learn about the "how to" in statistics, but they will also recognize its importance in today’s criminal justice system.
Essentials of Statistics for the Behavioral Sciences
by Susan A. Nolan Thomas E. HeinzenWith captivating storytelling, real-world examples, image-and graphic-rich design, accessible mathematics, and step-by-step worked examples, Nolan and Heinzen introduce students to the why and how of statistical practice in the behavioral sciences, while helping them break through common barriers to success in the course. This new edition of their briefer textbook offers fresh exercises throughout, stronger reinforcement of the material's relevance and mathematical requirements, more help with creating visual displays, and a dramatic expansion of its integrated online tools and activities in LaunchPad.
Essentials of Statistics for the Behavioral Sciences
by Susan A. Nolan Thomas E. HeinzenNolan and Heinzen offer an introduction to the basics of statistics that is uniquely suited for behavioral science students, with coverage anchor to real-world stories, a highly visual approach, helpful mathematical support, and step-by-step examples. The new edition focuses on emerging trends that are redefining contemporary behavioral statistics, while adding an remarkable new online feature, Choosing the Correct Statistical Test, in the book’s online component, LaunchPad.
Essentials of Statistics for the Behavioral Sciences
by Susan Nolan Thomas HeinzenEssentials of Statistics for the Behavioral Sciences by Susan Nolan and Thomas Heinzen is a concise, readable text that covers key statistical concepts. Exploring its wide variety of creative, step-by-step examples, students using Essentials will learn how to choose the appropriate statistical test, understand its conceptual significance, and calculate each statistic. With inviting examples using real-world data, the text teaches students to apply concepts and formulas to statistical questions that they will encounter in their academic lives and outside the classroom. The clear, accessible explanations highlight a conceptual understanding of statistics that minimize the mathematical. Nolan and Heinzen's brief text also provides the most opportunities for students to evaluate their understanding, with three tiers of exercises --Clarifying the Concepts, Calculating the Statistic, and Applying the Concepts-- integrated after each major topic as well as at the end of each chapter.
Essentials of Statistics for the Behavioral Sciences (2nd Edition)
by Susan A. Nolan Thomas E. HeinzenThis Nolan/Heinzen text makes the mathematics of statistical reasoning accessible with engaging storytelling, careful explanations, and helpful pedagogy.
Essentials of Statistics for the Behavioral Sciences (8th Edition)
by Larry B. Wallnau Frederick J GravetterThe goal of this book is not only to teach the methods of statistics but also to convey the basic principles of objectivity and logic that are essential for science and valuable for decision making in everyday life.
Essentials of Stochastic Processes
by Richard DurrettBuilding upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader's understanding. Drawing from teaching experience and student feedback, there are many new examples and problems with solutions that use TI-83 to eliminate the tedious details of solving linear equations by hand, and the collection of exercises is much improved, with many more biological examples. Originally included in previous editions, material too advanced for this first course in stochastic processes has been eliminated while treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved; for example, the difficult subject of martingales is delayed until its usefulness can be applied in the treatment of mathematical finance.
Essentials of Stochastic Processes
by Richard DurrettThis book is for a first course in stochastic processes taken by undergraduates or master's students who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and mathematical finance. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader's understanding The book has undergone a thorough revision since the first edition. There are many new examples and problems with solutions that use the TI-83 to eliminate the tedious details of solving linear equations by hand. Some material that was too advanced for the level has been eliminated while the treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved. For example, the difficult subject of martingales is delayed until its usefulness can be seen in the treatment of mathematical finance. Richard Durrett received his Ph. D. in Operations Research from Stanford in 1976. He taught at the UCLA math department for nine years and at Cornell for twenty-five before moving to Duke in 2010. He is the author of 8 books and almost 200 journal articles, and has supervised more that 40 Ph. D. students. Most of his current research concerns the applications of probability to biology: ecology, genetics, and most recently cancer.
Essentials of Stochastic Processes (Springer Texts in Statistics)
by Richard DurrettBuilding upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding. Drawing from teaching experience and student feedback, there are many new examples and problems with solutions that use TI-83 to eliminate the tedious details of solving linear equations by hand, and the collection of exercises is much improved, with many more biological examples. Originally included in previous editions, material too advanced for this first course in stochastic processes has been eliminated while treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved; for example, the difficult subject of martingales is delayed until its usefulness can be applied in the treatment of mathematical finance.
Essentials of Thematic Analysis (Essentials of Qualitative Methods)
by Nikki Hayfield Gareth TerryThe brief, practical texts in the Essentials of Qualitative Methods series introduce social science and psychology researchers to key approaches to qualitative methods, offering exciting opportunities to gather in-depth qualitative data and to develop rich and useful findings. In this book, Gareth Terry and Nikki Hayfield introduce readers to reflexive thematic analysis, a method of analyzing interview and focus group transcripts, qualitative survey responses, and other qualitative data. <p><p>Central to this method is the recognition that we are all situated in a particular context, and that we see and speak from that position. This leads researchers to produce knowledge that represents situated truths, providing insights into people's perspectives on a given topic. <p><P>About the Essentials of Qualitative Methods book series: <p>Even for experienced researchers, selecting and correctly applying the right method can be challenging. In this groundbreaking series, leading experts in qualitative methods provide clear, crisp, and comprehensive descriptions of their approach, including its methodological integrity, and its benefits and limitations. Each book includes numerous examples to enable readers to quickly and thoroughly grasp how to leverage these valuable methods.
Essentials of Topology with Applications (Textbooks in Mathematics)
by Steven G. KrantzBrings Readers Up to Speed in This Important and Rapidly Growing AreaSupported by many examples in mathematics, physics, economics, engineering, and other disciplines, Essentials of Topology with Applications provides a clear, insightful, and thorough introduction to the basics of modern topology. It presents the traditional concepts of topological
Essentials of a Successful Biostatistical Collaboration (Chapman & Hall/CRC Biostatistics Series)
by Arul EarnestThe aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.
Estimands, Estimators and Sensitivity Analysis in Clinical Trials (Chapman & Hall/CRC Biostatistics Series)
by Bohdana Ratitch Craig Mallinckrodt Ilya Lipkovich Geert MolenberghsThe concepts of estimands, analyses (estimators), and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts as a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language, providing technical details, real-world examples, and SAS and R code to implement analyses. The updated ICH guideline raises new analytic and cross-functional challenges for statisticians. Gaps between different communities have come to surface, such as between causal inference and clinical trialists, as well as among clinicians, statisticians, and regulators when it comes to communicating decision-making objectives, assumptions, and interpretations of evidence. This book lays out a path toward bridging some of these gaps. It offers A common language and unifying framework along with the technical details and practical guidance to help statisticians meet the challenges A thorough treatment of intercurrent events (ICEs), i.e., postrandomization events that confound interpretation of outcomes and five strategies for ICEs in ICH E9 (R1) Details on how estimands, integrated into a principled study development process, lay a foundation for coherent specification of trial design, conduct, and analysis needed to overcome the issues caused by ICEs: A perspective on the role of the intention-to-treat principle Examples and case studies from various areas Example code in SAS and R A connection with causal inference Implications and methods for analysis of longitudinal trials with missing data Together, the authors have offered the readers their ample expertise in clinical trial design and analysis, from an industrial and academic perspective.