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Advances in Directional and Linear Statistics, Martin T. Wells; Ashis SenGupta


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Цена: 20263.00р.
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Автор: Martin T. Wells; Ashis SenGupta
Название:  Advances in Directional and Linear Statistics
ISBN: 9783790829228
Издательство: Springer
Классификация:
ISBN-10: 3790829226
Обложка/Формат: Paperback
Страницы: 321
Вес: 0.47 кг.
Дата издания: 23.11.2014
Язык: English
Размер: 234 x 156 x 18
Основная тема: Statistics
Подзаголовок: A Festschrift for Sreenivasa Rao Jammalamadaka
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various countries, and covers a variety of research topics which he enjoys and contributed immensely to.


Advances in Theoretical and Applied Statistics

Автор: Nicola Torelli; Fortunato Pesarin; Avner Bar-Hen
Название: Advances in Theoretical and Applied Statistics
ISBN: 3642431933 ISBN-13(EAN): 9783642431937
Издательство: Springer
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Цена: 14673.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; statistical modeling and data analysis;

The Analysis of Directional Time Series: Applications to Wind Speed and Direction

Автор: Jens Breckling
Название: The Analysis of Directional Time Series: Applications to Wind Speed and Direction
ISBN: 0387971823 ISBN-13(EAN): 9780387971827
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Given a series of wind speeds and directions from the port of Fremantle the aim of this monograph is to detect general weather patterns and seasonal characteristics.

Advances in Combinatorial Methods and Applications to Probability and Statistics

Автор: N. Balakrishnan
Название: Advances in Combinatorial Methods and Applications to Probability and Statistics
ISBN: 1461286719 ISBN-13(EAN): 9781461286714
Издательство: Springer
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Цена: 25853.00 р.
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Описание: Sri Gopal Mohanty has made pioneering contributions to lattice path counting and its applications to probability and statistics. Combinatorics and applications of combinatorial methods in probability and statistics has become a very active and fertile area of research in the recent past.

Advances in Complex Data Modeling and Computational Methods in Statistics

Автор: Anna Maria Paganoni; Piercesare Secchi
Название: Advances in Complex Data Modeling and Computational Methods in Statistics
ISBN: 3319385372 ISBN-13(EAN): 9783319385372
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data;

Advances in Theoretical and Applied Statistics

Автор: Nicola Torelli; Fortunato Pesarin; Avner Bar-Hen
Название: Advances in Theoretical and Applied Statistics
ISBN: 3642355870 ISBN-13(EAN): 9783642355875
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; statistical modeling and data analysis;

Some Recent Advances in Mathematics and Statistics

Автор: Chaubey Yogendra P.
Название: Some Recent Advances in Mathematics and Statistics
ISBN: 9814417971 ISBN-13(EAN): 9789814417976
Издательство: World Scientific Publishing
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Цена: 16790.00 р.
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Описание: Consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, "Interdisciplinary Mathematical & Statistical Techniques".

Recent Advances in Robust Statistics: Theory and Applications

Автор: Agostinelli
Название: Recent Advances in Robust Statistics: Theory and Applications
ISBN: 8132236416 ISBN-13(EAN): 9788132236412
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods.The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.

New Advances in Statistics and Data Science

Автор: Ding-Geng Chen; Zhezhen Jin; Gang Li; Yi Li; Aiyi
Название: New Advances in Statistics and Data Science
ISBN: 3319694154 ISBN-13(EAN): 9783319694153
Издательство: Springer
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Цена: 10760.00 р.
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Описание: The theme of this conference was the "Challenge of Big Data and Applications of Statistics," in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences.


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