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Written by experts in the field, this important book provides anintroduction to current risk assessment practices and proceduresand explores the intrinsic complexities, challenges, andcontroversies associated with analysis of environmental healthrisks. Environmental Health Risk Assessment for Public Healthoffers 27 substantial chapters on risk-related topics thatinclude:What Is Risk and Why Study Risk AssessmentThe Risk Assessment–Risk Management ParadigmRisk Assessment and Regulatory Decision-Making in EnvironmentalHealthToxicological Basis of Risk AssessmentThe Application of PBPK Modeling to Risk AssessmentProbabilistic Models to Characterize Aggregate and CumulativeRiskMolecular Basis of Risk AssessmentComparative Risk AssessmentOccupational RiskRadiological Risk AssessmentMicrobial Risk AssessmentChildren’s Risk AssessmentLife Cycle RiskEnvironmental Laws and RegulationsPrecautionary PrinciplesRisk Communication

Includes review notes, course guide, and flash cards. Does not include online access code

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.

All initiatives start with uncertainty, creating consequences ranging from unfulfilled plans to total organizational failure. Yet ongoing research has shown risk management to be a frequently neglected area of planning. A framework is a simple, basic conceptual structure of a process, modifiable to fit the needs and circumstances of initiatives, whether they be projects, programs, operations, or even a collection of activities. Strong frameworks (known as shikumi in Japanese), allow an organization to change and weather changes quickly. A good framework is usable by a small initiative, but is also usable across the organization and organizations.Risk Assessment Framework provides a complete framework and a recommended means of implementation to establish a complete, reusable, and sustainable risk management methodology for any initiative. Tools, templates, forms, and guidance provide support for the implementation of the framework. It is up to the initiative manager to review the framework, tailor the framework to be appropriate for the initiative as needed, and select tools and techniques to support the tailored framework.This newly revised edition of Risk Assessment Framework includes:- an updated, scalable framework to proactively manage risk for any initiative- a guide to tailoring and scaling the framework to put it to immediate use- stress on positive risks as encouragement to use it (hint: it can pay for itself!)- a focus on a risk assessment workshop (the recommended framework implementation method)- access to tools, techniques, templates, and guidance to continuously improve risk management- alignment with the PMBOK® Guide - Sixth Edition and ISO 31000Whether you are an aspiring, new, accidental, or experienced manager, this book will help you successfully navigate uncertainty for any effort.

NEW PROBABILISTIC APPROACHES FOR REALISTIC RISK ASSESSMENT IN GEOTECHNICAL ENGINEERING. This text presents a thorough examination of the theories and methodologies available for risk assessment in geotechnical engineering, spanning the full range from established single-variable and "first order" methods to the most recent, advanced numerical developments. In response to the growing application of LRFD methodologies in geotechnical design, coupled with increased demand for risk assessments from clients ranging from regulatory agencies to insurance companies, authors Fenton and Griffiths have introduced an innovative reliability-based risk assessment method, the Random Finite Element Method (RFEM). The authors have spent more than fifteen years developing this statistically based method for modeling the real spatial variability of soils and rocks. As demonstrated in the book, RFEM performs better in real-world applications than traditional risk assessment tools that do not properly account for the spatial variability of geomaterials. This text is divided into two parts: Part One, Theory, explains the theory underlying risk assessment methods in geotechnical engineering. This part's seven chapters feature more than 100 worked examples, enabling you to develop a detailed understanding of the methods. Part Two, Practice, demonstrates how to use advanced probabilistic tools for several classical geotechnical engineering applications. Working with the RFEM, the authors show how to assess risk in problems familiar to all geotechnical engineers. All the programs used for the geotechnical applications discussed in Part Two may be downloaded from the authors' Web site at www.engmath.dal.ca/rfem/ at no charge, enabling you to duplicate the authors' results and experiment with your own data. In short, you get all the theory and practical guidance you need to apply the most advanced probabilistic approaches for managing uncertainty in geotechnical design.

'Risk Assessment for Object Conservation' reflects Dr Jonathan Ashley-Smith's personal interests and views in areas including materials science, the ethics of restoration, the costs of conservation and the philosophy of museums. This valuable book explains the mechanisms of deterioration of museum artifacts, quantifying the probability that damage will occur and estimating the rate of progress when it does. The principles outlined and the information provided will form a foundation for cost-benefit analysis of conservation proposals. Dr Ashley-Smith also gives comprehensive explanations of scientific of mathematical material to take into consideration the readers who have no background in these areas, alongside a basic introduction. The structure of the book provides a logical progression through tools, concepts information and examples. This is a must-have purchase for all conservators, curators and administrators of historic artifacts at both student and professional level.Pioneering book on this subjectGuidance on reduction of risk to exhibitsAuthor is the Head of Conservation at the Victoria and Albert Museum

'Risk Assessment for Object Conservation' reflects Dr Jonathan Ashley-Smith's personal interests and views in areas including materials science, the ethics of restoration, the costs of conservation and the philosophy of museums. This valuable book explains the mechanisms of deterioration of museum artifacts, quantifying the probability that damage will occur and estimating the rate of progress when it does. The principles outlined and the information provided will form a foundation for cost-benefit analysis of conservation proposals. Dr Ashley-Smith also gives comprehensive explanations of scientific of mathematical material to take into consideration the readers who have no background in these areas, alongside a basic introduction. The structure of the book provides a logical progression through tools, concepts information and examples. This is a must-have purchase for all conservators, curators and administrators of historic artifacts at both student and professional level.Pioneering book on this subjectGuidance on reduction of risk to exhibitsAuthor is the Head of Conservation at the Victoria and Albert Museum

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 2.54

Risk Assessment ARM 54 Course Guide (Third Edition) This course guide will help you learn the course content and pass the exam.

New Book. Shipped From Uk. This Book Is Printed On Demand. Established Seller Since 2000.

Quarto, hardcover, new in blue boards with white decorations and lettering. 557 pp. plus list of acronyms, glossary and index.Guides the reader through a risk assessment and shows them the proper tools to be used at the various steps in the process This brand new edition of one of the most authoritative books on risk assessment adds ten new chapters to its pages to keep readers up to date with the changes in the types of risk that individuals, businesses, and governments are being exposed to today. It leads readers through a risk assessment and shows them the proper tools to be used at various steps in the process. The book also provides readers with a toolbox of techniques that can be used to aid them in analyzing conceptual designs, completed designs, procedures, and operational risk.

All initiatives start with uncertainty, creating consequences ranging from unfulfilled plans to total organizational failure. Yet ongoing research has shown risk management to be a frequently neglected area of planning. A framework is a simple, basic conceptual structure of a process, modifiable to fit the needs and circumstances of initiatives, whether they be projects, programs, operations, or even a collection of activities. Strong frameworks (known as shikumi in Japanese), allow an organization to change and weather changes quickly. A good framework is usable by a small initiative, but is also usable across the organization and organizations.Risk Assessment Framework provides a complete framework and a recommended means of implementation to establish a complete, reusable, and sustainable risk management methodology for any initiative. Tools, templates, forms, and guidance provide support for the implementation of the framework. It is up to the initiative manager to review the framework, tailor the framework to be appropriate for the initiative as needed, and select tools and techniques to support the tailored framework.This newly revised edition of Risk Assessment Framework includes:- an updated, scalable framework to proactively manage risk for any initiative- a guide to tailoring and scaling the framework to put it to immediate use- stress on positive risks as encouragement to use it (hint: it can pay for itself!)- a focus on a risk assessment workshop (the recommended framework implementation method)- access to tools, techniques, templates, and guidance to continuously improve risk management- alignment with the PMBOK® Guide - Sixth Edition and ISO 31000Whether you are an aspiring, new, accidental, or experienced manager, this book will help you successfully navigate uncertainty for any effort.

Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.74

This book is a cohesive guide to the available methods that can be used in population viability analysis. It is therefore extremely valuable to both the practitioner of conservation biology and the theoretical population biologist.

Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models. Keeping the body of the text free of intimidating mathematics, the book provides pragmatic advice about model building to ensure models are built efficiently. A dedicated website, www.BayesianRisk.com, contains executable versions of all of the models described, exercises and worked solutions for all chapters, PowerPoint slides, numerous other resources, and a free downloadable copy of the AgenaRisk software.

NEW PROBABILISTIC APPROACHES FOR REALISTIC RISK ASSESSMENT IN GEOTECHNICAL ENGINEERING. This text presents a thorough examination of the theories and methodologies available for risk assessment in geotechnical engineering, spanning the full range from established single-variable and "first order" methods to the most recent, advanced numerical developments. In response to the growing application of LRFD methodologies in geotechnical design, coupled with increased demand for risk assessments from clients ranging from regulatory agencies to insurance companies, authors Fenton and Griffiths have introduced an innovative reliability-based risk assessment method, the Random Finite Element Method (RFEM). The authors have spent more than fifteen years developing this statistically based method for modeling the real spatial variability of soils and rocks. As demonstrated in the book, RFEM performs better in real-world applications than traditional risk assessment tools that do not properly account for the spatial variability of geomaterials. This text is divided into two parts: Part One, Theory, explains the theory underlying risk assessment methods in geotechnical engineering. This part's seven chapters feature more than 100 worked examples, enabling you to develop a detailed understanding of the methods. Part Two, Practice, demonstrates how to use advanced probabilistic tools for several classical geotechnical engineering applications. Working with the RFEM, the authors show how to assess risk in problems familiar to all geotechnical engineers. All the programs used for the geotechnical applications discussed in Part Two may be downloaded from the authors' Web site at www.engmath.dal.ca/rfem/ at no charge, enabling you to duplicate the authors' results and experiment with your own data. In short, you get all the theory and practical guidance you need to apply the most advanced probabilistic approaches for managing uncertainty in geotechnical design.

A conmprehensive reference that blends theory with case studies from both the US and abroad to provide practical guidance on a variety of risk assessment and management strategies, which may be tailored to any particular company. The volume contains 18 chapters grouped into seven parts: overview and linkages (3 chapters); health (4 chapters); safety (2 chapters); ecology (3 chapters); international risk assessment (2 chapters); risk communication (2 chapters); and additional perspectives (2 chapters: industrial ecology and comprehensive risk assessment; and risk-based decision making integrating risk management into business planning). Annotation copyright Book News, Inc. Portland, Or.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.14

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.