Recent Studies On Risk Analysis And Statistical Modeling

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Recent Studies on Risk Analysis and Statistical Modeling

Author : Teresa A. Oliveira,Christos P. Kitsos,Amílcar Oliveira,Luís Grilo
Publisher : Springer
Page : 375 pages
File Size : 49,7 Mb
Release : 2018-08-22
Category : Mathematics
ISBN : 9783319766058

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Recent Studies on Risk Analysis and Statistical Modeling by Teresa A. Oliveira,Christos P. Kitsos,Amílcar Oliveira,Luís Grilo Pdf

This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA.

Extreme Value Modeling and Risk Analysis

Author : Dipak K. Dey,Jun Yan
Publisher : CRC Press
Page : 538 pages
File Size : 55,9 Mb
Release : 2016-01-06
Category : Mathematics
ISBN : 9781498701310

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Extreme Value Modeling and Risk Analysis by Dipak K. Dey,Jun Yan Pdf

Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications. The book brings together background material and advanced topics, eliminating the need to sort through the massive amount of literature on the subje

Statistical Modelling and Risk Analysis

Author : Christos P. Kitsos,Teresa A. Oliveira,Francesca Pierri,Marialuisa Restaino
Publisher : Springer Nature
Page : 230 pages
File Size : 52,7 Mb
Release : 2024-01-13
Category : Mathematics
ISBN : 9783031398643

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Statistical Modelling and Risk Analysis by Christos P. Kitsos,Teresa A. Oliveira,Francesca Pierri,Marialuisa Restaino Pdf

This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.

Statistical Models in Toxicology

Author : Mehdi Razzaghi
Publisher : CRC Press
Page : 162 pages
File Size : 41,7 Mb
Release : 2020-05-21
Category : Mathematics
ISBN : 9780429532351

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Statistical Models in Toxicology by Mehdi Razzaghi Pdf

Statistical Models in Toxicology presents an up-to-date and comprehensive account of mathematical statistics problems that occur in toxicology. This is as an exciting time in toxicology because of the attention given by statisticians to the problem of estimating the human health risk for environmental and occupational exposures. The development of modern statistical techniques with solid mathematical foundations in the 20th century and the advent of modern computers in the latter part of the century gave way to development of many statistical models and methods to describe toxicological processes and attempts to solve the associated problems. Not only have the models enjoyed a high level of elegance and sophistication mathematically, they are widely used by industry and government regulatory agencies. Features: Focuses on describing the statistical models in environmental toxicology that facilitate the assessment of risk mainly in humans. The properties and shortfalls of each model are discussed and its impact in the process of risk assessment is examined. Discusses models that assess the risk of mixtures of chemicals. Presents statistical models that are developed for risk estimation in different aspects of environmental toxicology including cancer and carcinogenic substances. Includes models for developmental and reproductive toxicity risk assessment, risk assessment in continuous outcomes and developmental neurotoxicity. Contains numerous examples and exercises. Statistical Models in Toxicology introduces a wide variety of statistical models that are currently utilized for dose-response modeling and risk analysis. These models are often developed based on design and regulatory guidelines of toxicological experiments. The book is suitable for practitioners or as use as a textbook for advanced undergraduate or graduate students of mathematics and statistics.

Mindful Topics on Risk Analysis and Design of Experiments

Author : Jürgen Pilz,Teresa A. Oliveira,Karl Moder,Christos P. Kitsos
Publisher : Springer Nature
Page : 166 pages
File Size : 48,8 Mb
Release : 2022-05-20
Category : Mathematics
ISBN : 9783031066856

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Mindful Topics on Risk Analysis and Design of Experiments by Jürgen Pilz,Teresa A. Oliveira,Karl Moder,Christos P. Kitsos Pdf

This book provides an overview of the role of statistics in Risk Analysis, by addressing theory, methodology and applications covering the broad scope of risk assessment in life sciences and public health, environmental science as well as in economics and finance. Experimental Design plays a key role in many of these areas, therefore there is special attention paid to joining Risk Analysis and Experimental Design topics. The contributions of this volume originate from the 8th International Conference on Risk Analysis (23-26 April, 2019, Vienna). The conference brought together researchers and practitioners working in the field of Risk Analysis. The most important contributions at the conference have been refereed and developed into chapters to show the latest developments in the field.

Risk Analysis Foundations, Models, and Methods

Author : Louis Anthony Cox Jr.
Publisher : Springer Science & Business Media
Page : 564 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461508472

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Risk Analysis Foundations, Models, and Methods by Louis Anthony Cox Jr. Pdf

Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.

Applied Reliability Engineering and Risk Analysis

Author : Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner
Publisher : John Wiley & Sons
Page : 449 pages
File Size : 43,9 Mb
Release : 2013-08-22
Category : Technology & Engineering
ISBN : 9781118701898

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Applied Reliability Engineering and Risk Analysis by Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner Pdf

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Health Risks from Exposure to Low Levels of Ionizing Radiation

Author : Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation,National Research Council
Publisher : National Academies Press
Page : 422 pages
File Size : 45,6 Mb
Release : 2006-03-23
Category : Science
ISBN : 9780309133340

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Health Risks from Exposure to Low Levels of Ionizing Radiation by Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation,National Research Council Pdf

This book is the seventh in a series of titles from the National Research Council that addresses the effects of exposure to low dose LET (Linear Energy Transfer) ionizing radiation and human health. Updating information previously presented in the 1990 publication, Health Effects of Exposure to Low Levels of Ionizing Radiation: BEIR V, this book draws upon new data in both epidemiologic and experimental research. Ionizing radiation arises from both natural and man-made sources and at very high doses can produce damaging effects in human tissue that can be evident within days after exposure. However, it is the low-dose exposures that are the focus of this book. So-called “late” effects, such as cancer, are produced many years after the initial exposure. This book is among the first of its kind to include detailed risk estimates for cancer incidence in addition to cancer mortality. BEIR VII offers a full review of the available biological, biophysical, and epidemiological literature since the last BEIR report on the subject and develops the most up-to-date and comprehensive risk estimates for cancer and other health effects from exposure to low-level ionizing radiation.

Market Risk Analysis, Value at Risk Models

Author : Carol Alexander
Publisher : John Wiley & Sons
Page : 503 pages
File Size : 51,8 Mb
Release : 2009-02-09
Category : Business & Economics
ISBN : 9780470997888

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Market Risk Analysis, Value at Risk Models by Carol Alexander Pdf

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL); New formulae for VaR based on autocorrelated returns; Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR; Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas; Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios; Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components; Backtesting and the assessment of risk model risk; Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL.

Statistical Modeling in Biomedical Research

Author : Yichuan Zhao,Ding-Geng (Din) Chen
Publisher : Springer Nature
Page : 495 pages
File Size : 53,8 Mb
Release : 2020-03-19
Category : Medical
ISBN : 9783030334161

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Statistical Modeling in Biomedical Research by Yichuan Zhao,Ding-Geng (Din) Chen Pdf

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.

Data Analysis and Applications 4

Author : Andreas Makrides,Alex Karagrigoriou,Christos H. Skiadas
Publisher : John Wiley & Sons
Page : 241 pages
File Size : 43,7 Mb
Release : 2020-04-09
Category : Mathematics
ISBN : 9781119721581

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Data Analysis and Applications 4 by Andreas Makrides,Alex Karagrigoriou,Christos H. Skiadas Pdf

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

Analysis, Geometry, Nonlinear Optimization And Applications

Author : Panos M Pardalos,Themistocles M Rassias
Publisher : World Scientific
Page : 895 pages
File Size : 47,7 Mb
Release : 2023-03-20
Category : Mathematics
ISBN : 9789811261589

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Analysis, Geometry, Nonlinear Optimization And Applications by Panos M Pardalos,Themistocles M Rassias Pdf

This volume features an extensive account of both research and expository papers in a wide area of engineering and mathematics and its various applications.Topics treated within this book include optimization of control points, game theory, equilibrium points, algorithms, Cartan matrices, integral inequalities, Volterra integro-differential equations, Caristi-Kirk theorems, Laplace type integral operators, etc.This useful reference text benefits graduate students, beginning research engineers and mathematicians as well as established researchers in these domains.

New Perspectives in Operations Research and Management Science

Author : Y. Ilker Topcu,Şule Önsel Ekici,Özgür Kabak,Emel Aktas,Özay Özaydın
Publisher : Springer Nature
Page : 606 pages
File Size : 54,6 Mb
Release : 2022-06-24
Category : Business & Economics
ISBN : 9783030918514

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New Perspectives in Operations Research and Management Science by Y. Ilker Topcu,Şule Önsel Ekici,Özgür Kabak,Emel Aktas,Özay Özaydın Pdf

This book presents innovative operations research applications in business, specifically industrial engineering and its sub-disciplines. It investigates new perspectives in operations research and management science with regard to research methods, the research context, and industrial engineering, offering readers a broad range of new approaches to management problems. The book features the latest work of researchers who have worked with Professor Fusun Ulengin or built upon her work in their academic careers. Written in honor of Prof. Ulengin, this book was edited by her former Ph.D. students, who are now experts in operations research, multiple criteria decision making, competitiveness, logistics, and supply chain management. Prof. Ulengin’s impact in academia is visible in the range of topics and methodologies featured in this book: Location and transportation problems, competitiveness of nations, food supply chains, debt collection, mathematical modelling, multiple criteria decision making, data envelopment analysis, random forests, and Bayesian networks.

Risk Modeling, Assessment, and Management

Author : Yacov Y. Haimes
Publisher : John Wiley & Sons
Page : 810 pages
File Size : 54,5 Mb
Release : 2011-09-20
Category : Technology & Engineering
ISBN : 9781118210925

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Risk Modeling, Assessment, and Management by Yacov Y. Haimes Pdf

Examines timely multidisciplinary applications, problems, and case histories in risk modeling, assessment, and management Risk Modeling, Assessment, and Management, Third Edition describes the state of the art of risk analysis, a rapidly growing field with important applications in engineering, science, manufacturing, business, homeland security, management, and public policy. Unlike any other text on the subject, this definitive work applies the art and science of risk analysis to current and emergent engineering and socioeconomic problems. It clearly demonstrates how to quantify risk and construct probabilities for real-world decision-making problems, including a host of institutional, organizational, and political issues. Avoiding higher mathematics whenever possible, this important new edition presents basic concepts as well as advanced material. It incorporates numerous examples and case studies to illustrate the analytical methods under discussion and features restructured and updated chapters, as well as: A new chapter applying systems-driven and risk-based analysis to a variety of Homeland Security issues An accompanying FTP site—developed with Professor Joost Santos—that offers 150 example problems with an Instructor's Solution Manual and case studies from a variety of journals Case studies on the 9/11 attack and Hurricane Katrina An adaptive multiplayer Hierarchical Holographic Modeling (HHM) game added to Chapter Three This is an indispensable resource for academic, industry, and government professionals in such diverse areas as homeland and cyber security, healthcare, the environment, physical infrastructure systems, engineering, business, and more. It is also a valuable textbook for both undergraduate and graduate students in systems engineering and systems management courses with a focus on our uncertain world.

Analyzing Risk through Probabilistic Modeling in Operations Research

Author : Jakóbczak, Dariusz Jacek
Publisher : IGI Global
Page : 442 pages
File Size : 48,8 Mb
Release : 2015-11-03
Category : Business & Economics
ISBN : 9781466694590

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Analyzing Risk through Probabilistic Modeling in Operations Research by Jakóbczak, Dariusz Jacek Pdf

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.