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Mathematical Literacy on Statistical Measures, B?scher


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Цена: 9083.00р.
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Автор: B?scher
Название:  Mathematical Literacy on Statistical Measures
ISBN: 9783658230685
Издательство: Springer
Классификация:


ISBN-10: 3658230681
Обложка/Формат: Paperback
Страницы: 220
Вес: 0.32 кг.
Дата издания: 2018
Серия: Dortmunder Beitr?ge zur Entwicklung und Erforschung des Mathematikunterrichts
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 67 illustrations, black and white; xviii, 220 p. 67 illus.
Размер: 210 x 148 x 13
Читательская аудитория: Professional & vocational
Основная тема: Mathematics Education
Подзаголовок: A Design Research Study
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In most countries, only very limited time resources are available for statistics education within mathematics education.


The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Merttens, Ruth Kirkby, David
Название: New abacus year 2: shape, space and measures (Pack of 8 copies)
ISBN: 0602306507 ISBN-13(EAN): 9780602306502
Издательство: Pearson Education
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Цена: 6123.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Ideal for whole-class teaching, Abacus gives you all the support you need for motivating maths lessons, and at the same time, offers the flexibility so you can use your professional judgement to suit the needs of your class.

New abacus year 2: shape, space and measures

Автор: Merttens, Ruth Kirkby, David
Название: New abacus year 2: shape, space and measures
ISBN: 0602305462 ISBN-13(EAN): 9780602305468
Издательство: Неизвестно
Цена: 607.00 р.
Наличие на складе: Есть (2 шт.)
Описание: Ideal for whole-class teaching, Abacus gives you all the support you need for motivating maths lessons, and at the same time, offers the flexibility so you can use your professional judgement to suit the needs of your class.

The Mata book

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
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Цена: 9186.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Cambridge Global English 8 Workbook

Автор: Barker/Mitchell/Lucantoni
Название: Cambridge Global English 8 Workbook
ISBN: 1107657717 ISBN-13(EAN): 9781107657717
Издательство: Cambridge Education
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Цена: 2777.00 р.
Наличие на складе: Поставка под заказ.

Описание: Workbook 8 is organised into eighteen thematic units of study based on the Cambridge International Examinations English as a Second Language Scheme of Work for Stage 8 The units are carefully structured to reinforce the language learning of the Coursebook, at the same time as extending students` knowledge via a range of exercise types. CEFR Level: B1.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Автор: Marco Corazza; Cira Perna; Marilena Sibillo; Flore
Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance
ISBN: 3319502336 ISBN-13(EAN): 9783319502335
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume gathers selected peer-reviewed papers presented at the "International MAF Conference 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance" held in Paris at the University of Paris-Dauphine from March 30 to April 1, 2016.

Data Science and Machine Learning: Mathematical and Statistical Methods

Автор: Kroese, Dirk P. Botev, Zdravko
Название: Data Science and Machine Learning: Mathematical and Statistical Methods
ISBN: 1138492531 ISBN-13(EAN): 9781138492530
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание: The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.

Mathematical and Statistical Methods for Insurance and Finance

Автор: Perna Cira, Sibillo Marilena
Название: Mathematical and Statistical Methods for Insurance and Finance
ISBN: 8847007038 ISBN-13(EAN): 9788847007031
Издательство: Springer
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Цена: 13275.00 р.
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Описание: The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection here published gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields, all treated in light of the successful cooperation between the two quantitative methods.


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