Автор: Ern Alexandre, Guermond Jean-Luc Название: Theory and Practice of Finite Elements ISBN: 0387205748 ISBN-13(EAN): 9780387205748 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the mathematical theory of finite elements, starting from basic results on approximation theory and finite element interpolation and building up to more recent research topics, such as subgrid viscosity methods and Discontinuous Galerkin methods. The main body of the text is organized into three main sections. The first part develops the theoretical basis for the finite element method, emphasizing inf-sup conditions over the more conventional Lax-Milgrim paradigm, while the second and third parts address various applications and practical implementaions of the method, respectively.Written at the graduate level, the text contains numerous examples and exercises and will be beneficial to students and researchers alike. Depending on one's interests, several reading paths can be followed, emphasizing either convergence results, numerical algorithms, code efficiency, or applications in the engineering sciences.
Автор: Dillman D. A., Hox J. J., de Leeuw E. D Название: International Handbook of Survey Methodology ISBN: 0805857532 ISBN-13(EAN): 9780805857535 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers methodological and statistical issues in designing and analyzing surveys. This handbook provides guidance on collecting survey data and creating meaningful results. It focuses on data collection, from face-to-face interviews, to Internet and interactive voice response, to special challenges involved in mixing these modes within one survey.
Автор: Sharlene Nagy Hesse-Biber, Patricia Leavy Название: Approaches to Qualitative Research: A Reader on Theory and Practice ISBN: 0195157753 ISBN-13(EAN): 9780195157758 Издательство: Oxford Academ Рейтинг: Цена: 19006.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Couples theoretical articles with practical research examples in order to help students of varying degrees develop a holistic understanding of the process of qualitative research. This book covers a range of traditional and emergent research methods as well as techniques of analysis and writing.
Автор: Messac Название: Optimization in Practice with MATLAB® ISBN: 1107109183 ISBN-13(EAN): 9781107109186 Издательство: Cambridge Academ Рейтинг: Цена: 10611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook is designed for undergraduate and graduate students and practitioners interested in learning optimization. The presentation is enriched with a robust set of real-world examples and practical exercises. Using MATLAB (R) software is encouraged throughout. The instructor is supported by a complete solutions manual and PowerPoint slides with animations.
Автор: Raghunathan Название: Missing Data Analysis In Practice ISBN: 1482211920 ISBN-13(EAN): 9781482211924 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online.
The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference.
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