This volume records and disseminates selected papers from the Stinson66 conference, including surveys, prospectives, and papers presenting original and current research.
Callable mortgage bonds are utilized by individuals and companies to finance the purchase of real estate, and this asset class therefore plays a crucial role in modern society.
In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data.
This volume contains the full text of twenty-six of the thirty-one papers given at the Montreux 1989 International Chemical Information Conference in Montreux, Switzerland between 26 and 28 September 1989.
This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data.
In this book, the optimal transportation problem (OT) is described as a variational problem for absolutely continuous stochastic processes with fixed initial and terminal distributions.
This book represents the proceedings of the 3rd International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2023), held from November 10th to 12th, 2023 in Nanjing, China, hosted by Nanjing University.
This book presents the effective combination of mathematical statistics, general metrology, and textile metrology to allow data analysis with regard to the evaluation of parameters of fibrous structures.
"e;Algorithmic information theory (AIT) is the result of putting Shannon's information theory and Turing's computability theory into a cocktail shaker and shaking vigorously"e;, says G.
The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time.
This book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures.
This edited book is the first one in English that demonstrates the innovative use of cutting-edge statistical methods for sociological and social science data.
This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 8th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2022), held in Malaysia.
The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science.
This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists.
This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life sciences.
This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills necessary to apply them in their own investment strategies.
The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration.
This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the estimable parameter.
This book delves into a rigorous mathematical exploration of the well-posedness and long-time behavior of weak solutions to nonlinear Fokker-Planck equations, along with their implications in the theory of probabilistically weak solutions to McKean-Vlasov stochastic differential equations and the corresponding nonlinear Markov processes.
The innovative progress in the development oflarge-and small-scale parallel computing systems and their increasing availability have caused a sharp rise in interest in the scientific principles that underlie parallel computation and parallel programming.
Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices.
Dieses Buch gibt dem Labor- und Verwaltungsleiter im Bereich der Labororganisation für die Personalbedarfsberechnung, die Kostenstellenrechnung und Kosten-Nutzen-Beurteilung und die Führung einer Laborstatistik wertvolle Hilfestellung und Anregung.
This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.
This book highlights the estimation of crop yield in CentralGujarat, especially with regard to the development of Multiple RegressionModels and Principal Component Regression (PCR) models using climatologicalparameters as independent variables and crop yield as a dependent variable.
