- Table View
- List View
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.
Estimating Characteristics of the Foreign-Born by Legal Status
by Dean H. Judson David A. SwansonThis brief represents a comprehensive review of methods for estimating characteristics of the foreign-born population in the United States, specifically oriented toward characteristics by legal status. A variety of methods have been proffered over the past many decades, in a large variety of venues; this work brings them together, attempts to impart some order on the definition of "legal status," and describes strengths and deficiencies both in methods and in data. The authors have a combined 50 years of experience in both demographic and statistical methodology.
Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and Computational Methods (Springer Theses)
by Vito Paolo PastoreThis book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The algorithms are developed with the aim of maximizing computational accuracy and efficiency, while faithfully reconstructing both the inhibitory and excitatory functional links. The book reports on statistical methods to compute the most significant functional connectivity graph, and shows how to use graph theory to extract the topological features of the computed network. A particular feature is that the methods used and extended at the purpose of this work are reported in a fairly completed, yet concise manner, together with the necessary mathematical fundamentals and explanations to understand their application. Furthermore, all these methods have been embedded in the user-friendly open source software named SpiCoDyn, which is also introduced here. All in all, this book provides researchers and graduate students in bioengineering, neurophysiology and computer science, with a set of simplified and reduced models for studying functional connectivity in in silico biological neuronal networks, thus overcoming the complexity of brain circuits.
Estimating Impact
by Alexander Kott Gary CitrenbaumVirtually all human endeavors can be analyzed and modeled and understood through computer-aided study, and that is very much at the core of operations research, game theory, and decision science. Understanding the potential impact of any action is critical to the success of that action, and in ESTIMATING IMPACT Alexander Kott and Gary Citrenbaum, with a stellar group of contributors, demonstrate how military or humanitarian interventions (or the decision not to intervene) can be rigorously analyzed beforehand and their likely impacts and ramifications predicted at levels appropriate to their scope. A wide range of modeling programs are available that support plan assessment and impact forecast, and they allow accurate prediction within an interdependent set of political, military, economic, social, information, and infrastructure systems, and experts involved in the use and development of these tools demonstrate how, when, and why they should be used.
Estimating Presence and Abundance of Closed Populations (Statistics for Biology and Health)
by Matthew R. Schofield George A. SeberThis comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have seen huge species losses and a major biodiversity decline. Populations include plants, trees, various land and sea animals, and some human populations. With such a diversity of populations, an extensive variety of different methods are described with the collection of different types of data. For example, we have count data from plot sampling, which can also allow for incomplete detection. There is a large chapter on occupancy methods where a major interest is determining whether a particular species is present or not. Citizen and opportunistic survey data can also be incorporated. A related topic is species methods, where species richness and species' interactions are of interest. A variety of distance methods are discussed. One can use distances from points and lines, as well as nearest neighbor distances. The applications are extensive, and include marine, acoustic, and aerial surveys, using multiple observers or detection devices. Line intercept measurements have a role to play such as, for example, estimating parameters relating to plant coverage. An increasingly important class of removal methods considers successive “removals" from a population, with physical removal or "removal" by capture-recapture of marked individuals. With the change-in-ratio method, removals are taken from two or more classes, e.g., males and females. Effort data used for removals can also be used. A very important method for estimating abundance is the use of capture-recapture data collected discretely or continuously and can be analysed using both frequency and Bayesian methods. Computational aspects of fitting Bayesian models are described. A related topic of growing interest is the use of spatial and camera methods. With the plethora of models there has been a corresponding development of various computational methods and packages, which are often mentioned throughout. Covariate data is being used more frequently, which can reduce the number of unknown parameters by using logistic and loglinear models. An important computational aspect is that of model selection methods. The book provides a useful list of over 1400 references.