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Contributions to Sampling Statistics, Fulvia Mecatti; Pier Luigi Conti; Maria Giovanna R


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Автор: Fulvia Mecatti; Pier Luigi Conti; Maria Giovanna R
Название:  Contributions to Sampling Statistics
ISBN: 9783319358574
Издательство: Springer
Классификация:


ISBN-10: 331935857X
Обложка/Формат: Paperback
Страницы: 233
Вес: 0.34 кг.
Дата издания: 23.08.2016
Серия: Contributions to Statistics
Язык: English
Размер: 234 x 156 x 13
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: it deals with some hot topics in sampling theory, such as calibration, quantile-regression and multiple frame surveys and with innovative methodologies in important topics of both sampling theory and applications.


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
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Цена: 8237.00 р.
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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.

Naked Statistics: Stripping the Dread from the Data

Автор: Wheelan Charles
Название: Naked Statistics: Stripping the Dread from the Data
ISBN: 039334777X ISBN-13(EAN): 9780393347777
Издательство: Wiley
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Цена: 2216.00 р.
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Описание: A New York Times bestseller "Brilliant, funny...the best math teacher you never had." -San Francisco Chronicle

Applied Multivariate Statistics for the Social Sciences

Автор: Pituch Keenan A
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836662 ISBN-13(EAN): 9780415836661
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Contributions to Mathematical Statistics

Автор: Kei Takeuchi
Название: Contributions to Mathematical Statistics
ISBN: 4431552383 ISBN-13(EAN): 9784431552383
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume is a reorganized edition of Kei Takeuchi`s works on various problems in mathematical statistics based on papers and monographs written since the 1960s on several topics in mathematical statistics and published in various journals in English and in Japanese.

Contributions to Probability and Statistics

Автор: Leon J. Gleser; Michael D. Perlman; S. James Press
Название: Contributions to Probability and Statistics
ISBN: 1461282004 ISBN-13(EAN): 9781461282006
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. The volume reflects the wide range of Professor Olkin`s interests in and contributions to research in statistics, and provides an overview of new developments in these areas of research.

Contributions to Econometrics and Statistics Today

Автор: H. Schneeweiss; H. Strecker
Название: Contributions to Econometrics and Statistics Today
ISBN: 3642701914 ISBN-13(EAN): 9783642701917
Издательство: Springer
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Цена: 15372.00 р.
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TEACHING STATISTICS 2E C

Автор: Andrew Gelman
Название: TEACHING STATISTICS 2E C
ISBN: 0198785690 ISBN-13(EAN): 9780198785699
Издательство: Oxford Academ
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Цена: 12989.00 р.
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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.

Statistics: An Introduction using R

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
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Цена: 4744.00 р.
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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.

Statistics Explained

Автор: McKillup
Название: Statistics Explained
ISBN: 0521183286 ISBN-13(EAN): 9780521183284
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Uses a clear and encouraging reader-friendly approach to help students improve their confidence in designing experiments and choosing appropriate statistical tests. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. End-of-chapter exercises, new to this edition, allow self-testing.

Statistics: Principles and Methods, 7th Edition

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: 35369.00 р.
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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.

Sampling Statistics

Автор: Fuller
Название: Sampling Statistics
ISBN: 0470454601 ISBN-13(EAN): 9780470454602
Издательство: Wiley
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Цена: 19317.00 р.
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Описание: Providing a thorough and comprehensive treatment of sampling theory, methods, and current topics of interest, Sampling Statistics features the latest developments and current practices in survey sampling. The book introduces basic sampling concepts to facilitate the application of model-based procedures to survey samples.

Applied statistics for economists

Автор: Lewis Margaret
Название: Applied statistics for economists
ISBN: 0415554683 ISBN-13(EAN): 9780415554688
Издательство: Taylor&Francis
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Цена: 11023.00 р.
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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.


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