Topics in the Foundation of Statistics, B.C. van Fraassen

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Автор: Andrew Gelman
Название: TEACHING STATISTICS 2E C
ISBN: 0198785690 ISBN-13(EAN): 9780198785699
Издательство: Oxford Academ
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Цена: 86590.00 T
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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.

Автор: Mood
Название: Introduction To The Theory of Statistics
ISBN: 0070854653 ISBN-13(EAN): 9780070854659
Издательство: McGraw-Hill
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Цена: 57190.00 T
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.

Автор: Finkelstein Michael, Levin Bruce
Название: Statistics for Lawyers
ISBN: 0387950079 ISBN-13(EAN): 9780387950075
Издательство: Springer
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Цена: 69830.00 T
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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.

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
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Цена: 31630.00 T
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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: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 235790.00 T
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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: B.C. van Fraassen
Название: Topics in the Foundation of Statistics
ISBN: 9048147921 ISBN-13(EAN): 9789048147922
Издательство: Springer
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Цена: 102480.00 T
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Описание: Foundational research focuses on the theory, but theories are to be related also to other theories, experiments, facts in their domains, data, and to their uses in applications, whether of prediction, control, or explanation.

Автор: Prakash Gorroochurn
Название: Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times
ISBN: 1119127920 ISBN-13(EAN): 9781119127925
Издательство: Wiley
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Цена: 118220.00 T
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Описание: "There is nothing like it on the market. no others are as encyclopedic. the writing is exemplary: simple, direct, and competent. " George W.

Автор: Giorgio Alleva; Andrea Giommi
Название: Topics in Theoretical and Applied Statistics
ISBN: 3319272721 ISBN-13(EAN): 9783319272726
Издательство: Springer
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Цена: 130430.00 T
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Описание: This bookhighlights the latest research findings from the 46th International Meeting ofthe Italian Statistical Society (SIS) in Rome, during which both methodologicaland applied statistical research was discussed.

Автор: Mingxiu Hu; Yi Liu; Jianchang Lin
Название: Topics in Applied Statistics
ISBN: 1493947494 ISBN-13(EAN): 9781493947492
Издательство: Springer
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Цена: 111790.00 T
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Описание: This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. It was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA).

Автор: Jan Rycht??; Sat Gupta; Ratnasingham Shivaji; Maya
Название: Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
ISBN: 1493954652 ISBN-13(EAN): 9781493954650
Издательство: Springer
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Цена: 102480.00 T
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Описание: The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states.

Автор: Helen MacGillivray; Brian Phillips; Michael A. Mar
Название: Topics from Australian Conferences on Teaching Statistics
ISBN: 1493954040 ISBN-13(EAN): 9781493954049
Издательство: Springer
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Цена: 111790.00 T
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Описание: The first OZCOTS conference in 1998 was inspired by papers contributed by Australians to the 5th International Conference on Teaching Statistics. Globally, statistics as a discipline, statistical pedagogy and statistics in academia and industry are all critically important to the modern information society.