Common errors in statistics (and how to avoid them) 3 ed, Phillip I. Good, James William Hardin
Автор: Good Название: Common Errors in Statistics (and How to Avoid Them) 4e ISBN: 1118294394 ISBN-13(EAN): 9781118294390 Издательство: Wiley Цена: 5486 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc.
Автор: Andrew Gelman Название: TEACHING STATISTICS 2E C ISBN: 0198785690 ISBN-13(EAN): 9780198785699 Издательство: Oxford Academ Рейтинг: Цена: 7702 р. Наличие на складе: Поставка под заказ.
Описание: To help overcome the challenges of teaching statistics across various diciplines, Gelman and Nolan have put together this fascinating and thought-provoking book based on years of teaching experience.
Описание: Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.
Автор: Michael J. Crawley Название: Statistics: An Introduction using R ISBN: 0470022981 ISBN-13(EAN): 9780470022986 Издательство: Wiley Рейтинг: Цена: 3130 р. Наличие на складе: Поставка под заказ.
Описание: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. *Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. *Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. *The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. *Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. *Includes numerous worked examples and exercises within each chapter. Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.
Автор: Finkelstein Michael, Levin Bruce Название: Statistics for Lawyers ISBN: 0387950079 ISBN-13(EAN): 9780387950075 Издательство: Springer Рейтинг: Цена: 7008 р. Наличие на складе: Поставка под заказ.
Описание: Statistics for Lawyers is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The book consists of sections of exposition followed by real-world cases and case studies in which stastical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. The cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, and the death penalty. The first edition of Statistics for Lawyers, which appeared in 1990, has been used in law, statistics, and social science courses. In 1991 it was selected by the University of Michigan Law Review as one of the important law books of the year. This second edition includes many new problems reflecting current developments in the law, including a new chapter on epidemiology. Michael O. Finkelstein is a practicing lawyer in New York City. He has been a member of the adjunct faculty of Columbia University Law School since 1967, teaching Statistics for Lawyers, and has also taught at Harvard, New York University, and Yale Law Schools. He is the author of a book of essays, Quantitative Methods in Law, and numerous law review articles on the applications of statistics in law. He frequently consults and testifies in litigated matters. Bruce Levin is a professor at the Joseph L. Mailman School of Public Health of Columbia University in the Division of Biostatistics. He is the Consulting Editor for Statistics for the American Journal of Public Health, participates in clinical trials, and is the author of numerous articles on the subject of biostatistics. He has consulted and testified as an expert in many law cases involving statistical issues.
Описание: A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year`s course in calculus with no prior knowledge of statistics or probability. Third revised edition.
Автор: Anthony Название: Understanding Advanced Statistics ISBN: 0443059330 ISBN-13(EAN): 9780443059339 Издательство: Elsevier Science Цена: 3268 р. Наличие на складе: Невозможна поставка.
Описание: An easy to read, relatively jargon-free book dealing with the more advanced concepts necessary for a good understanding of statistics. It makes the subject accessible and relevant to nursing students while covering the subject to the depth required for post-graduate students.
Описание: The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc.
Автор: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 23334 р. Наличие на складе: Поставка под заказ.
Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.
Автор: Sheldon M. Ross Название: Introductory Statistics, ISBN: 0123743885 ISBN-13(EAN): 9780123743886 Издательство: Elsevier Science Рейтинг: Цена: 8088 р. Наличие на складе: Невозможна поставка.
Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning.
To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website.
This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics.
Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context
Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud.
Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools
Автор: Pelham Название: Intermediate Statistics ISBN: 1412994985 ISBN-13(EAN): 9781412994989 Издательство: Sage Publications Рейтинг: Цена: 8795 р. Наличие на складе: Поставка под заказ.
Описание: Lecturers, why waste time waiting for the post to arrive? Click on the above icon and receive your e-inspection copy today! Visit the Pelham Companion Website! Hands on Data Analysis: A Second Course in Statistics is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.
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