Nonlinear Lp-Norm Estimation, Gonin, Rene

Автор: Wlodzimierz Bryc
Название: The Normal Distribution
ISBN: 0387979905 ISBN-13(EAN): 9780387979908
Издательство: Springer
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Цена: 107130.00 T
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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.

Автор: Richard Farebrother
Название: L1-Norm and L?-Norm Estimation
ISBN: 3642362990 ISBN-13(EAN): 9783642362996
Издательство: Springer
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Цена: 37260.00 T
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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.

Автор: Yadolah Dodge
Название: Statistical Data Analysis Based on the L1-Norm and Related Methods
ISBN: 3034894724 ISBN-13(EAN): 9783034894722
Издательство: Springer
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Цена: 46570.00 T
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Описание: This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchatel, Switzerland, from August 4-9, 2002.

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: 158380.00 T
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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.

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: 81050.00 T
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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.

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: 162690.00 T
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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. 

Автор: Rudolph Kulhavy
Название: Recursive Nonlinear Estimation
ISBN: 3540760636 ISBN-13(EAN): 9783540760634
Издательство: Springer
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Цена: 95770.00 T
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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.

Автор: Gavin J.S. Ross
Название: Nonlinear Estimation
ISBN: 146128001X ISBN-13(EAN): 9781461280019
Издательство: Springer
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Цена: 107130.00 T
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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.

Автор: Hisashi Tanizaki
Название: Nonlinear Filters
ISBN: 364208253X ISBN-13(EAN): 9783642082535
Издательство: Springer
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Цена: 158380.00 T
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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.

Автор: Su Zhonggen
Название: Random Matrices And Random Partitions: Normal Convergence
ISBN: 9814612227 ISBN-13(EAN): 9789814612227
Издательство: World Scientific Publishing
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Цена: 92930.00 T
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Описание: This Book Is Aimed At Graduate Students And Researchers Who Are Interested In The Probability Limit Theory Of Random Matrices And Random Partitions. It Mainly Consists Of Three Parts. Part I Is A Brief Review Of Classical Central Limit Theorems For Sums Of Independent Random Variables, Martingale Sequences And Markov Chains, Etc. These Classical Theorems Are Frequently Used In The Study Of Random Matrices And Random Partitions Where Random Matrices Are Well-Studied In Probability Theory. Part Ii Concentrates On The Asymptotic Distribution Theory Of Circular Unitary Ensemble And Gaussian Unitary Ensemble, Which Are Prototypes Of Random Matrix Theory. It Turns Out That The Classical Central Limit Theorems And Methods Are Applicable In Describing Asymptotic Distributions Of Eigenvalue Statistics Like Linear Functionals Of Eigenvalues. This Is Attributed To The Nice Algebraic Structures Of Models. This Part Also Studies The Circular β Ensembles And Gaussian β Ensembles, Which May Be Viewed As Extensions Of The Circular Unitary Ensemble And Gaussian Unitary Ensemble. Part Iii Is Devoted To The Study Of Random Uniform And Plancherel Partitions. As Is Known, There Is A Surprising Similarity Between Random Matrices And Random Integer Partitions From The Viewpoint Of Asymptotic Distribution Theory, Though It Is Difficult To Find Any Direct Link Between The Two Finite Models.This Book Treats Only Second-Order Fluctuations For Primary Random Variables From Two Classes Of Special Random Models. It Is Written In A Clear, Concise And Pedagogical Way. It May Be Read As An Introductory Text To Further Study Probability Theory Of General Random Matrices, Random Partitions And Even Random Point Processes. This Book Is Aimed At Graduate Students And Researchers Who Are Interested In Probability Limit Theory Of Random Matrices And Random Integer Partitions.

Автор: Nicolas Privault
Название: Stochastic Analysis in Discrete and Continuous Settings
ISBN: 3642023797 ISBN-13(EAN): 9783642023798
Издательство: Springer
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Цена: 46540.00 T
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Описание: Suitable for graduate students and researchers having already received a basic training in probability, this work aims to give a unified presentation of stochastic analysis for continuous and discontinuous stochastic processes, in both discrete and continuous time.

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: 132710.00 T
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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.