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Course in Statistics with R, Tattar Prabhanjan N.


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Цена: 12189.00р.
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Автор: Tattar Prabhanjan N.
Название:  Course in Statistics with R
ISBN: 9781119152729
Издательство: Wiley
Классификация:
ISBN-10: 1119152720
Обложка/Формат: Hardback
Страницы: 692
Вес: 1.18 кг.
Дата издания: 06.05.2016
Серия: Mathematics
Язык: English
Иллюстрации: Illustrations
Размер: 180 x 250 x 38
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs.


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

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: 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.

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.

A First Course in Statistics

Автор: Loveday
Название: A First Course in Statistics
ISBN: 1316607003 ISBN-13(EAN): 9781316607008
Издательство: Cambridge Academ
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Цена: 3958.00 р.
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Описание: Originally published in 1958, this informative textbook is the first part of a two-volume set, which explores the subject of statistics in full, from elementary to advanced level. Primarily aimed at school students as a course of self-study, this first part focuses on the elementary and contains multiple examples and exercises.

Course in Mathematical Statistics and Large Sample Theory

Название: Course in Mathematical Statistics and Large Sample Theory
ISBN: 1493940309 ISBN-13(EAN): 9781493940301
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.

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.

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.
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.

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

Student Solutions Manual Statistics 2e

Автор: Watkins
Название: Student Solutions Manual Statistics 2e
ISBN: 047053060X ISBN-13(EAN): 9780470530603
Издательство: Wiley
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Цена: 7120.00 р.
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Описание: This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis than on following recipes for calculations.

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


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