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Nonlinear Lp-Norm Estimation, Gonin, Rene


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Цена: 9492.00р.
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Автор: Gonin, Rene
Название:  Nonlinear Lp-Norm Estimation
ISBN: 9780367451165
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0367451166
Обложка/Формат: Paperback
Страницы: 316
Вес: 0.43 кг.
Дата издания: 31.03.2020
Серия: Statistics: a series of textbooks and monographs
Язык: English
Размер: 226 x 152 x 20
Читательская аудитория: Tertiary education (us: college)
Основная тема: Statistical Theory & Methods
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book delineates the history of Lp-norm estimation and examines the nonlinear Lp-norm estimation problem that is a viable alternative to least squares estimation problems. It is intended for both statisticians and applied mathematicians.


Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking

Автор: Van Trees
Название: Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
ISBN: 0470120959 ISBN-13(EAN): 9780470120958
Издательство: Wiley
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Цена: 24404.00 р.
Наличие на складе: Невозможна поставка.

Описание: Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds.  The book will be useful to both engineers and statisticians whether they are practicioners or theorists. The organization of the book and selection criteria is covered in the preface.  Each part is introduced with the contributions of each selected paper and their interrelationship. Part 1contains a short history of Reverend Thomas Bayes and his classic paper that established the field. Part 2 contains the original derivation of the Bayesian Cramer-Rao bound and a simple derivation of the multiple parameter Bayesian CRB. Part 3 discusses global Bayesian bounds to provide broad coverage of this important area. Part 4 considers the case in which some of the parameters are deterministic and some are random.  Hybrid Bayesian bounds are derived, as they are particularly important in the study of model mismatch problems. Part 5 considers generalized Cramer-Rao bounds. Part 6 discusses nonlinear stochastic dynamic systems. This type of system is a major component of most radar, sonar, and navigation systems.  They are also encountered in nonlinear filtering problems. Applications of various Bayesian bounds to static parameter estimation problems are covered in Part 7 and to dynamic systems in Part 8. The book concludes with papers from the statistics literature that focus on Bayesian bounds in various models in Part 9. 

Renminbi exchange rate forecasting

Автор: Wei, Yunjie (chinese Academy Of Sciences, China) Wang, Shouyang (chinese Academy Of Sciences, China) Lai, Kin Keung (shaanxi Normal University, China)
Название: Renminbi exchange rate forecasting
ISBN: 0367686066 ISBN-13(EAN): 9780367686062
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: This book examines how we can forecast exchange rate reliably. It explains how we can do so through a new methodology for exchange rate forecasting.

Normal Approximations with Malliavin Calculus

Автор: Nourdin
Название: Normal Approximations with Malliavin Calculus
ISBN: 1107017777 ISBN-13(EAN): 9781107017771
Издательство: Cambridge Academ
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Цена: 11880.00 р.
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Описание: This book studies normal approximations by means of two powerful probabilistic techniques: the Malliavin calculus and Stein`s method. Largely self-contained it is perfect for self-study and will appeal both to researchers and to graduate students in probability and statistics.

Probabilistic Normed Spaces

Автор: Guillen Bernardo Lafuerza, Harikrishnan Panackal
Название: Probabilistic Normed Spaces
ISBN: 1783264683 ISBN-13(EAN): 9781783264681
Издательство: World Scientific Publishing
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Цена: 11563.00 р.
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Описание: This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics.

Covid-19 Pandemic: Research and Development Activities from Modeling to Realization

Автор: Mohapatra Mamata, Choudhury Balamati, Basu Suddhasatwa
Название: Covid-19 Pandemic: Research and Development Activities from Modeling to Realization
ISBN: 9811643717 ISBN-13(EAN): 9789811643712
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection and discusses developments in the field of nanoparticle/inorganic/organic materials development for antiviral application, therapeutic applications, PPE kit formulations and inclusion of simulated data. The contents focus on measures to keep the infections in check, materials aspects for detection and monitoring, AI modeling for prediction of spread of the virus, among others. This book will be a useful reference for researchers, scientists and policy makers alike.

L1-Norm and L?-Norm Estimation

Автор: Richard Farebrother
Название: L1-Norm and L?-Norm Estimation
ISBN: 3642362990 ISBN-13(EAN): 9783642362996
Издательство: Springer
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Цена: 5589.00 р.
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Описание: This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures.

Triangular Norm-Based Measures and Games with Fuzzy Coalitions

Автор: D. Butnariu; Erich Peter Klement
Название: Triangular Norm-Based Measures and Games with Fuzzy Coalitions
ISBN: 0792323696 ISBN-13(EAN): 9780792323693
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Extends the concept of a value of a coalitional game, in the spirit of RJ Aumann and LS Shapley, to the case of games with fuzzy coalitions, providing fresh and heuristically meaningful insights into the game theoretical context, which have some significant impact on balance and equilibria analysis in a cooperative environment.

Nonlinear Estimation and Classification

Автор: David D. Denison; Mark H. Hansen; Christopher C. H
Название: Nonlinear Estimation and Classification
ISBN: 0387954716 ISBN-13(EAN): 9780387954714
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing.

Recursive Nonlinear Estimation

Автор: Rudolph Kulhavy
Название: Recursive Nonlinear Estimation
ISBN: 3540760636 ISBN-13(EAN): 9783540760634
Издательство: Springer
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Цена: 14365.00 р.
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Описание: In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution. The book suggests a solution to the problem of recursive estimation of non-Gaussian and nonlinear models.

Nonlinear Estimation

Автор: Gavin J.S. Ross
Название: Nonlinear Estimation
ISBN: 146128001X ISBN-13(EAN): 9781461280019
Издательство: Springer
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Цена: 16070.00 р.
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Описание: The book provides insights into why some models are difficult to fit, how to combine fits over different data sets, how to improve data collection to reduce prediction variance, and how to program particular models to handle a full range of data sets.

Nonlinear Filters

Автор: Hisashi Tanizaki
Название: Nonlinear Filters
ISBN: 364208253X ISBN-13(EAN): 9783642082535
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been derived from the underlying probability density functions.

The Normal Distribution

Автор: Wlodzimierz Bryc
Название: The Normal Distribution
ISBN: 0387979905 ISBN-13(EAN): 9780387979908
Издательство: Springer
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Цена: 16070.00 р.
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Описание: The normal distribution and its abstract counterparts are a cornerstone in the theory and practice of probability and statistics. This book aims to present a readable and wide-ranging account of the subject.


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