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Common Errors in Statistics (and How to Avoid Them) 4e, Good


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Цена: 8862.00р.
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Автор: Good
Название:  Common Errors in Statistics (and How to Avoid Them) 4e
ISBN: 9781118294390
Издательство: Wiley
Классификация:
ISBN-10: 1118294394
Обложка/Формат: Paperback
Страницы: 352
Вес: 0.47 кг.
Дата издания: 26.07.2012
Серия: Mathematics
Язык: English
Издание: 4 revised edition
Иллюстрации: Illustrations
Размер: 228 x 154 x 19
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics
Основная тема: Statistics - Text & Reference
Ссылка на Издательство: Link
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Поставляется из: Англии
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.


      Старое издание
Common errors in statistics (and how to avoid them) 3 ed

Автор: Phillip I. Good, James William Hardin
Название: Common errors in statistics (and how to avoid them) 3 ed
ISBN: 0470457988 ISBN-13(EAN): 9780470457986
Издательство: Wiley
Цена: 6415.00 р.
Наличие на складе: Нет в наличии.
Описание: Praise for the Second Edition: "All statistics students and teachers will find in this book a friendly and intelligentguide to... applied statistics in practice. " -Journal of Applied Statistics "... a very engaging and valuable book for all who use statistics in any setting. " -CHOICE "...


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.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A New York Times bestseller "Brilliant, funny...the best math teacher you never had." -San Francisco Chronicle

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.

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 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
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Цена: 16769.00 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.

Statistics of Random Processes / I. General Theory

Автор: Liptser Robert S., Shiryaev Albert N., Aries B.
Название: Statistics of Random Processes / I. General Theory
ISBN: 3540639292 ISBN-13(EAN): 9783540639299
Издательство: Springer
Рейтинг:
Цена: 11878.00 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.

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
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Цена: 8541.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Addresses statistical challenges in epidemiological, biomedical, and pharmaceutical research. This book presents methods for assessing Biomarkers, analysis of competing risks. It offers clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs.

Common errors in statistics (and how to avoid them) 3 ed

Автор: Phillip I. Good, James William Hardin
Название: Common errors in statistics (and how to avoid them) 3 ed
ISBN: 0470457988 ISBN-13(EAN): 9780470457986
Издательство: Wiley
Рейтинг:
Цена: 6415.00 р.
Наличие на складе: Нет в наличии.

Описание: Praise for the Second Edition: "All statistics students and teachers will find in this book a friendly and intelligentguide to... applied statistics in practice. " -Journal of Applied Statistics "... a very engaging and valuable book for all who use statistics in any setting. " -CHOICE "...

Errors, Blunders And Lies

Автор: Salsburg
Название: Errors, Blunders And Lies
ISBN: 1498795781 ISBN-13(EAN): 9781498795784
Издательство: Taylor&Francis
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Цена: 4592.00 р.
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Описание: In this follow-up to the author`s bestselling classic, "The Lady Tasting Tea," David Salsburg takes a fresh and insightful look at the history of statistical development by examing errors, blunders and outright lies in many different models taken from a variety of fields including economics, biology, physics and sports.

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.
Наличие на складе: Нет в наличии.

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.

Teach yourself statistics

Автор: Graham, Alan
Название: Teach yourself statistics
ISBN: 0340966165 ISBN-13(EAN): 9780340966167
Издательство: Hodder Arnold
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Цена: 1582.00 р.
Наличие на складе: Нет в наличии.

Описание: Nearly all aspects of our lives can be subject to statistical analysis. Teach Yourself Statistics will show you how to interpret, analyse and present figures.

Intermediate Statistics

Автор: Pelham
Название: Intermediate Statistics
ISBN: 1412994985 ISBN-13(EAN): 9781412994989
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание: A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions

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.
Наличие на складе: Нет в наличии.

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.


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