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Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models, Vitanov Nikolay K.


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Цена: 46570.00T
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Автор: Vitanov Nikolay K.
Название:  Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models
ISBN: 9783319824017
Издательство: Springer
Классификация:




ISBN-10: 3319824015
Обложка/Формат: Paperback
Страницы: 285
Вес: 0.43 кг.
Дата издания: 12.06.2018
Серия: Qualitative and quantitative analysis of scientific and scholarly communication
Язык: English
Издание: Softcover reprint of
Иллюстрации: 5 illustrations, black and white; xviii, 285 p. 5 illus.
Размер: 23.39 x 15.60 x 1.63 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Indicators, indexes, statistical laws and mathematical models
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations).

Statistics Using Stata: An Integrative Approach

Автор: Sharon Lawner Weinberg, Sarah Knapp Abramowitz
Название: Statistics Using Stata: An Integrative Approach
ISBN: 110872583X ISBN-13(EAN): 9781108725835
Издательство: Cambridge Academ
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Цена: 66520.00 T
Наличие на складе: Невозможна поставка.
Описание: Engaging and accessible to students from a range of mathematical backgrounds, this book blends statistical concepts with the acquisition of the Stata (version 16) software package. Its coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare them for future work.

Mathematical Foundations of Infinite-Dimensional Statistical Models

Автор: Gin?
Название: Mathematical Foundations of Infinite-Dimensional Statistical Models
ISBN: 1107043166 ISBN-13(EAN): 9781107043169
Издательство: Cambridge Academ
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Цена: 99270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.

Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts

Автор: Lecca Paola
Название: Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts
ISBN: 3030412547 ISBN-13(EAN): 9783030412548
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models.

Mathematical foundations of infinite-dimensional statistical models

Автор: Gine, Evarist Nickl, Richard (university Of Cambridge)
Название: Mathematical foundations of infinite-dimensional statistical models
ISBN: 110899413X ISBN-13(EAN): 9781108994132
Издательство: Cambridge Academ
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Цена: 48570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples or from Gaussian regression/signal in white noise problems.

Science Dynamics and Research Production

Автор: Vitanov
Название: Science Dynamics and Research Production
ISBN: 3319416294 ISBN-13(EAN): 9783319416298
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions  of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are  well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.

Selecta II: Probability Theory, Statistical Mechanics, Mathematical Physics and Mathematical Fluid Dynamics

Автор: Sinai Yakov G.
Название: Selecta II: Probability Theory, Statistical Mechanics, Mathematical Physics and Mathematical Fluid Dynamics
ISBN: 1493997882 ISBN-13(EAN): 9781493997886
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects 20 papers that span the areas of mathematical physics, dynamical systems, and probability. Yakov Sinai is well-known as both a mathematician and a physicist, with numerous theorems and proofs bearing his name in both fields.


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