Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Stochastic sequences
Languages : en
Pages : 360
Book Description
Weakly Dependent Stochastic Sequences and Their Applications: Order statistics based on weakly dependent data
Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Stochastic sequences
Languages : en
Pages : 360
Book Description
Weakly Dependent Stochastic Sequences and Their Applications: Statistical inference based on weakly dependent data
Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Sequences (Mathematics).
Languages : en
Pages : 408
Book Description
Weakly Dependent Stochastic Sequences and Their Applications
Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Sequences (Mathematics).
Languages : en
Pages : 378
Book Description
Weakly Dependent Stochastic Sequences and Their Applications: Generalized partial-sum processes
Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Sequences (Mathematics).
Languages : en
Pages : 410
Book Description
Weakly Dependent Stochastic Sequences and Their Applications: Curve estimation based on weakly dependent data
Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Sequences (Mathematics).
Languages : en
Pages : 356
Book Description
Weakly Dependent Stochastic Sequences and Their Applications: Asymptotic statistics based on weakly dependent data
Author: Ken-ichi YoshiharaPublisher:
ISBN:
Category : Stochastic sequences
Languages : en
Pages : 326
Book Description
Nonparametric Functional Data Analysis
Author: Frédéric FerratyPublisher: Springer Science & Business Media
ISBN: 0387366202
Category : Mathematics
Languages : en
Pages : 260
Book Description
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.
Modeling Uncertainty
Author: Moshe DrorPublisher: Springer
ISBN: 0306481022
Category : Mathematics
Languages : en
Pages : 782
Book Description
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.
The Yokohama Mathematical Journal
Author: Selected Papers on Analysis, Probability, and Statistics
Author: Katsumi NomizuPublisher: American Mathematical Soc.
ISBN: 9780821875124
Category : Mathematics
Languages : en
Pages : 176
Book Description
This book presents papers in the general area of mathematical analysis as it pertains to probability and statistics, dynamical systems, differential equations, and analytic function theory. Among the topics discussed are: stochastic differential equations, spectra of the Laplacian and Schrödinger operators, nonlinear partial differential equations which generate dissipative dynamical systems, fractal analysis on self-similar sets, and the global structure of analytic functions.