Applied Directional Statistics, Ley, Christophe

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 74970.00 T
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Mardia
Название: Directional Statistics
ISBN: 0471953334 ISBN-13(EAN): 9780471953333
Издательство: Wiley
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Цена: 153070.00 T
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Описание: Presents new and up--dated material on both the underlying theory and the practical methodology of directional statistics, helping the reader to utilise and develop the techniques appropriate to their work. The book is divided into three parts. The first part concentrates on statistics on the circle.

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: 111790.00 T
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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.

Автор: Ley, Christophe
Название: Modern Directional Statistics
ISBN: 0367573016 ISBN-13(EAN): 9780367573010
Издательство: Taylor&Francis
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Цена: 50010.00 T
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Автор: Brudney, Jeffrey Bohte, John Meier, Kenneth J.
Название: Applied statistics for public and nonprofit administration
ISBN: 1285737237 ISBN-13(EAN): 9781285737232
Издательство: Cengage Learning
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Цена: 93970.00 T
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Описание: Suitable for students and practitioners of public administration who have little background in statistics or research methods, this book covers all statistical techniques.

Автор: Ming-Jun Lai, Yang Wang
Название: Sparse Solutions of Underdetermined Linear Systems
ISBN: 1611976502 ISBN-13(EAN): 9781611976502
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
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Описание: This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.

Автор: Bell, Jesse E. , Gel, Yulia , Lyubchich, Vyache
Название: Evaluating Climate Change Impacts
ISBN: 0815392370 ISBN-13(EAN): 9780815392378
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: Presents the topic of assessing and quantifying the climate change and its impacts from a multi-faceted perspective of ecosystem, human health, and social and infrastructure resilience, given through a lens of statistical and data sciences.

Автор: Desmond J. Higham, Peter E. Kloeden
Название: An Introduction to the Numerical Simulation of Stochastic Differential Equations
ISBN: 1611976421 ISBN-13(EAN): 9781611976427
Издательство: Mare Nostrum (Eurospan)
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Цена: 66050.00 T
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Описание: This book provides a lively and accessible introduction to the numerical solution of stochastic differential equations with the aim of making this subject available to the widest possible readership. It presents an outline of the underlying convergence and stability theory while avoiding technical details. Key ideas are illustrated with numerous computational examples and computer code is listed at the end of each chapter. The authors include 150 exercises, with solutions available online, and 40 programming tasks.Although introductory, the book covers a range of modern research topics, including It? versus Stratonovich calculus, implicit methods, stability theory, nonconvergence on nonlinear problems, multilevel Monte Carlo, approximation of double stochastic integrals, and tau leaping for chemical and biochemical reaction networks.An Introduction to the Numerical Simulation of Stochastic Differential Equations is appropriate for undergraduates and postgraduates in mathematics, engineering, physics, chemistry, finance, and related disciplines, as well as researchers in these areas. The material assumes only a competence in algebra and calculus at the level reached by a typical first-year undergraduate mathematics class, and prerequisites are kept to a minimum. Some familiarity with basic concepts from numerical analysis and probability is also desirable but not necessary.

Автор: Adcock, Ben Brugiapaglia, Simone Webster, Clayton G.
Название: Sparse polynomial approximation of high-dimensional functions
ISBN: 1611976871 ISBN-13(EAN): 9781611976878
Издательство: Mare Nostrum (Eurospan)
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Цена: 70230.00 T
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Описание: Over seventy years ago, Richard Bellman coined the term "the curse of dimensionality" to describe phenomena and computational challenges that arise in high dimensions. These challenges, in tandem with the ubiquity of high-dimensional functions in real-world applications, have led to a lengthy, focused research effort on high-dimensional approximation—that is, the development of methods for approximating functions of many variables accurately and efficiently from data. This book provides an in-depth treatment of one of the latest installments in this long and ongoing story: sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering. It begins with a comprehensive overview of best s-term polynomial approximation theory for holomorphic, high-dimensional functions, as well as a detailed survey of applications to parametric differential equations. It then describes methods for computing sparse polynomial approximations, focusing on least squares and compressed sensing techniques.Sparse Polynomial Approximation of High-Dimensional Functions presents the first comprehensive and unified treatment of polynomial approximation techniques that can mitigate the curse of dimensionality in high-dimensional approximation, including least squares and compressed sensing. It develops main concepts in a mathematically rigorous manner, with full proofs given wherever possible, and it contains many numerical examples, each accompanied by downloadable code. The authors provide an extensive bibliography of over 350 relevant references, with an additional annotated bibliography available on the book's companion website (www.sparse-hd-book.com).This text is aimed at graduate students, postdoctoral fellows, and researchers in mathematics, computer science, and engineering who are interested in high-dimensional polynomial approximation techniques.

Автор: by RUTH M GAIL MITCHELL H PFEIFFER
Название: Absolute Risk
ISBN: 0367657813 ISBN-13(EAN): 9780367657819
Издательство: Taylor&Francis
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Цена: 51030.00 T
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Описание: This book addresses the development, evaluation, and application of models of absolute risk- the probability of developing a specific disease over a specified time interval in the presence of competing causes of mortality. It discusses the development of appropriate statistical methods for estimating and applying absolute risk.

Автор: David R. Cox
Название: The Statistical Analysis of Series of Events
ISBN: 9401178038 ISBN-13(EAN): 9789401178037
Издательство: Springer
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Цена: 74530.00 T
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Описание: Second, the monograph is intended as a survey, necessarily incomplete, of some of the problems in theoretical statistics that stem from this sort of data. Finally, we hope that the monograph will be of use to teachers and students of statistics, as illustrating applications of a range of tech- niques in theoretical statistics.