Найти книгу: "Risk Quantification"

This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask. Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development. Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks. This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit. With a foreword by Catherine Veret and an introduction by Kevin Knight.

The definitive book on the neutralization of recombinant biopharmaceuticals Recombinant biopharmaceuticals are an important tool for treating a range of illnesses; however, their efficacy can be severely impaired by their immunogenicity. When introduced into the body, these pharmaceuticals can cause the immune system to produce anti-drug antibodies (ADAs) that neutralize their effects. The first and only book to cover neutralization in connection with biopharmaceuticals and the measurement and application of neutralizing antibodies in modern medicine at any real length, Detection and Quantification of Antibodies to Biopharmaceuticals: Practical and Applied Considerations offers a comprehensive and in-depth look at all the principal aspects of the detection and quantification of antibodies that are essential to understanding and responding to the challenges they present. Bringing together a large-scale review of neutralization and biopharmaceuticals and the ability to measure, detect, and apply antibodies to modern science and medicine with international regulatory perspectives, the expectations of regulatory authorities, and the strengths and weaknesses of various assays, the book describes several novel ideas for detecting ADAs. Designed to serve as a resource for biopharmaceutical drug development, the book provides biotechnology companies and pharmaceutical drug development specialists, as well as non-experts, with key insights into the design, optimization, and qualification of assays, the establishment of sampling strategies, the choice of appropriate assay end-points, and data analysis for the detection and quantification of neutralizing antibodies.

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: • Brings together the perspectives of researchers in areas of inverse problems and data assimilation. • Assesses the current state-of-the-art and identify needs and opportunities for future research. • Focuses on the computational methods used to analyze and simulate inverse problems. • Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.

The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author’s carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. Is illustrated by a large number of figures and examples as well as numerous exercises. Provides both clear and rigorous descriptions of methods and approaches. Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work. Features detailed discussions of both wet-lab approaches and statistical and computational methods. With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field.

A guide to state-of-the-art molecular tools for monitoring and managing the toxigenicity of cyanobacteria Runaway eutrophication and climate change has made the monitoring and management of toxigenic organisms in the world’s bodies of water more urgent than ever. In order to influence public policy regarding the detection and quantification of those organisms, it is incumbent upon scientists to raise the awareness of policy makers concerning the increased occurrence of toxigenic cyanobacteria and the threats they pose. As molecular methods can handle many samples in short time and help identify toxigenic organisms, they are reliable, cost-effective tools available for tracking toxigenic cyanobacteria worldwide. This volume arms scientists with the tools they need to track toxigenicity in surface waters and food supplies and, hopefully, to develop new techniques for managing the spread of toxic cyanobacteria. This handbook offers the first comprehensive treatment of molecular tools for monitoring toxigenic cyanobacteria. Growing out of the findings of the landmark European Cooperation in Science and Technology Cyanobacteria project (CYANOCOST), it provides detailed, practical coverage of the full array of available molecular tools and protocols, from water sampling, nucleic acid extraction, and downstream analysis—including PCR and qPCR based methods—to genotyping (DGGE), diagnostic microarrays, and community characterization using next-gen sequencing techniques. Offers an overview of the latest trends in the field, while providing a foundation for understanding and applying the tools and techniques described Provides detailed coverage of the full range of molecular tools currently available, with expert guidance on the analysis and interpretation of results Includes step-by-step guidance on standard operational procedures, including molecular tests used in environmental monitoring, with individual chapters devoted to each procedure Complements the published Handbook of Cyanobacterial Monitoring and Cyanotoxin Analysis from the CyanoCOST project This handbook is an indispensable working resource for scientists, lab technicians, and water management professionals and an excellent text/reference for graduate students and supervisors who use molecular tools. It will also be of great value to environmental health and protection officials and policy makers.