Analyzing Data Through Probabilistic Modeling in Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analyzing Data Through Probabilistic Modeling in Statistics write by Jakóbczak, Dariusz Jacek. This book was released on 2021-02-19. Analyzing Data Through Probabilistic Modeling in Statistics available in PDF, EPUB and Kindle. Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.
Handbook of Probabilistic Models
Handbook of Probabilistic Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Probabilistic Models write by Pijush Samui. This book was released on 2019-10-05. Handbook of Probabilistic Models available in PDF, EPUB and Kindle. Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems
Analyzing Risk through Probabilistic Modeling in Operations Research
Analyzing Risk through Probabilistic Modeling in Operations Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analyzing Risk through Probabilistic Modeling in Operations Research write by Jakóbczak, Dariusz Jacek. This book was released on 2015-11-03. Analyzing Risk through Probabilistic Modeling in Operations Research available in PDF, EPUB and Kindle. Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.
Probability, Statistics and Modelling in Public Health
Probability, Statistics and Modelling in Public Health - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability, Statistics and Modelling in Public Health write by M.S. Nikulin. This book was released on 2006-02-10. Probability, Statistics and Modelling in Public Health available in PDF, EPUB and Kindle. Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
Statistical Modeling and Analysis for Complex Data Problems
Statistical Modeling and Analysis for Complex Data Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Modeling and Analysis for Complex Data Problems write by Pierre Duchesne. This book was released on 2005-12-05. Statistical Modeling and Analysis for Complex Data Problems available in PDF, EPUB and Kindle. This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
