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Statistics for Lawyers, Finkelstein Michael, Levin Bruce

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Цена: 7832р.
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Автор: Finkelstein Michael, Levin Bruce
Название:  Statistics for Lawyers   (Майкл Финкелштейн: Статистика для юристов)
Издательство: Springer
ISBN: 0387950079
ISBN-13(EAN): 9780387950075
Обложка/Формат: Hardback
Страницы: 647
Вес: 2.4 кг.
Дата издания: 08.05.2007
Серия: Statistics for social science and behavorial sciences
Язык: English
Издание: 2 rev ed
Иллюстрации: 55 black & white illustrations
Размер: 24.18 x 16.13 x 3.66 cm
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Поставляется из: Германии
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.
Дополнительное описание: Формат: 235x155
Илюстрации: 55
Круг читателей: Graduate students, practitioners, undergraduates
Ключевые слова: Statistics for Lawyers
Язык: eng
Издание: 2nd ed. 2001. Corr. Print
Оглавление: Describing Data * Inferring Causation * How to Count: Permutations and Combinations * Elements of Probability * Some Probability Distributions * Statistical Inference for Two Proportions * Comparing Multiple Proportions * Comparing Means * Combining Evidence Across Independent Strata * Sampling Issues * Survival Analysis * Nonparametric Methods * Regression Models

      Новое издание
Statistics for Lawyers

Автор: Finkelstein, Michael O., Levin, Bruce
Название: Statistics for Lawyers
ISBN: 144195984X ISBN-13(EAN): 9781441959843
Издательство: Springer
Цена: 9404 р.
Наличие на складе: Невозможна поставка.
Описание: Statistics for Lawyers

Causal Inference for Statistics, Social, and Biomedical Sciences

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
Цена: 5176 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Statistics: An Introduction using R

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
Цена: 3459 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.

Essential Statistical Methods for Medical Statistics,

Автор: J. Philip Miller
Название: Essential Statistical Methods for Medical Statistics,
ISBN: 0444537376 ISBN-13(EAN): 9780444537379
Издательство: Elsevier Science
Цена: 6056 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009).While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas.

Computational Statistics Handbook with MATLAB

Автор: Martinez Wendy L.
Название: Computational Statistics Handbook with MATLAB
ISBN: 1466592737 ISBN-13(EAN): 9781466592735
Издательство: Taylor&Francis
Цена: 9123 р.
Наличие на складе: Есть у поставщика Поставка под заказ.


A Strong Practical Focus on Applications and Algorithms
Computational Statistics Handbook with MATLAB(R), Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods.

New to the Third Edition
This third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines.

Web Resource
The authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.

Dependence in Probability and Statistics

Автор: Bertail Patrice, Doukhan Paul, Soulier Philippe
Название: Dependence in Probability and Statistics
ISBN: 0387317414 ISBN-13(EAN): 9780387317410
Издательство: Springer
Цена: 14629 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Gives an account of the developments in the field of probability and statistics for dependent data. This book covers a range of topics from Markov chain theory and weak dependence with an emphasis on some developments on dynamical systems, to strong dependence in times series and random fields.

Introductory Statistics,

Автор: Sheldon M. Ross
Название: Introductory Statistics,
ISBN: 0123743885 ISBN-13(EAN): 9780123743886
Издательство: Elsevier Science
Цена: 9039 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
Applied statistics for economists

Автор: Lewis Margaret
Название: Applied statistics for economists
ISBN: 0415554683 ISBN-13(EAN): 9780415554688
Издательство: Taylor&Francis
Цена: 5196 р.
Наличие на складе: Невозможна поставка.

Описание: This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.

An Introduction to Medical Statistics 4th Edition

Автор: Bland Martin
Название: An Introduction to Medical Statistics 4th Edition
ISBN: 0199589925 ISBN-13(EAN): 9780199589920
Издательство: Oxford Academ
Цена: 3508 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An Introduction to Medical Statistics, fourth edition, is a `must-have` textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice.

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Автор: Lynch
Название: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
ISBN: 038771264X ISBN-13(EAN): 9780387712642
Издательство: Springer
Цена: 16196 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: "Introduction to Applied Bayesian Statistics and Estimation for Social Scientists" covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.The first part of the book provides a detailed introduction to mathematical statistics and the Bayesian approach to statistics, as well as a thorough explanation of the rationale for using simulation methods to construct summaries of posterior distributions. Markov chain Monte Carlo (MCMC) methods - including the Gibbs sampler and the Metropolis-Hastings algorithm - are then introduced as general methods for simulating samples from distributions. Extensive discussion of programming MCMC algorithms, monitoring their performance, and improving them is provided before turning to the larger examples involving real social science models and data.

Response Surface Methodology

Автор: Myers Raymond H.
Название: Response Surface Methodology
ISBN: 1118916018 ISBN-13(EAN): 9781118916018
Издательство: Wiley
Цена: 13745 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Praise for the Third Edition : This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.     Zentralb

Introduction To The Theory of Statistics

Автор: Mood
Название: Introduction To The Theory of Statistics
ISBN: 0070854653 ISBN-13(EAN): 9780070854659
Издательство: McGraw-Hill
Цена: 5774 р.
Наличие на складе: Невозможна поставка.

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.

Statistics of Random Processes / II. Applications

Автор: Liptser Robert S., Shiryaev Albert N., Aries A.B.
Название: Statistics of Random Processes / II. Applications
ISBN: 3540639284 ISBN-13(EAN): 9783540639282
Издательство: Springer
Цена: 12539 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.

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