statistical applications for environmental analysis and risk assessment statistics in practice

Download Book Statistical Applications For Environmental Analysis And Risk Assessment Statistics In Practice in PDF format. You can Read Online Statistical Applications For Environmental Analysis And Risk Assessment Statistics In Practice here in PDF, EPUB, Mobi or Docx formats.

Statistical Applications For Environmental Analysis And Risk Assessment

Author : Joseph Ofungwu
ISBN : 9781118634516
Genre : Social Science
File Size : 56. 11 MB
Format : PDF, ePub, Mobi
Download : 396
Read : 574

Get This Book


Statistical Applications for Environmental Analysis and RiskAssessment guides readers through real-world situations and thebest statistical methods used to determine the nature and extent ofthe problem, evaluate the potential human health and ecologicalrisks, and design and implement remedial systems as necessary.Featuring numerous worked examples using actual data and“ready-made” software scripts, StatisticalApplications for Environmental Analysis and Risk Assessmentalso includes: • Descriptions of basic statistical concepts andprinciples in an informal style that does not presume priorfamiliarity with the subject • Detailed illustrations of statistical applications inthe environmental and related water resources fields usingreal-world data in the contexts that would typically be encounteredby practitioners • Software scripts using the high-powered statisticalsoftware system, R, and supplemented by USEPA’s ProUCL andUSDOE’s VSP software packages, which are all freelyavailable • Coverage of frequent data sample issues such asnon-detects, outliers, skewness, sustained and cyclical trend thathabitually plague environmental data samples • Clear demonstrations of the crucial, but oftenoverlooked, role of statistics in environmental sampling design andsubsequent exposure risk assessment.

Simulation Techniques In Financial Risk Management

Author : Ngai Hang Chan
ISBN : 9781118735930
Genre : Mathematics
File Size : 72. 22 MB
Format : PDF, ePub, Docs
Download : 964
Read : 886

Get This Book


Praise for the First Edition “…a nice, self-contained introduction to simulation and computational techniques in finance…” – Mathematical Reviews Simulation Techniques in Financial Risk Management, Second Edition takes a unique approach to the field of simulations by focusing on techniques necessary in the fields of finance and risk management. Thoroughly updated, the new edition expands on several key topics in these areas and presents many of the recent innovations in simulations and risk management, such as advanced option pricing models beyond the Black–Scholes paradigm, interest rate models, MCMC methods including stochastic volatility models simulations, model assets and model-free properties, jump diffusion, and state space modeling. The Second Edition also features: Updates to primary software used throughout the book, Microsoft Office® Excel® VBA New topical coverage on multiple assets, model-free properties, and related models More than 300 exercises at the end of each chapter, with select answers in the appendix, to help readers apply new concepts and test their understanding Extensive use of examples to illustrate how to use simulation techniques in risk management Practical case studies, such as the pricing of exotic options; simulations of Greeks in hedging; and the use of Bayesian ideas to assess the impact of jumps, so readers can reproduce the results of the studies A related website with additional solutions to problems within the book as well as Excel VBA and S-Plus computer code for many of the examples within the book Simulation Techniques in Financial Risk Management, Second Edition is an invaluable resource for risk managers in the financial and actuarial industries as well as a useful reference for readers interested in learning how to better gauge risk and make more informed decisions. The book is also ideal for upper-undergraduate and graduate-level courses in simulation and risk management.

Network Meta Analysis For Decision Making

Author : Sofia Dias
ISBN : 9781118647509
Genre : Mathematics
File Size : 56. 34 MB
Format : PDF
Download : 942
Read : 813

Get This Book


A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question “for this pre-identified population of patients, which treatment is ‘best’?” A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.

Applied Mixed Models In Medicine

Author : Helen Brown
ISBN : 9781118778241
Genre : Medical
File Size : 48. 81 MB
Format : PDF
Download : 645
Read : 311

Get This Book


A fully updated edition of this key text on mixed models,focusing on applications in medical research The application of mixed models is an increasingly popular wayof analysing medical data, particularly in the pharmaceuticalindustry. A mixed model allows the incorporation of both fixed andrandom variables within a statistical analysis, enabling efficientinferences and more information to be gained from the data. Therehave been many recent advances in mixed modelling, particularlyregarding the software and applications. This third edition ofBrown and Prescott’s groundbreaking text provides an updateon the latest developments, and includes guidance on the use ofcurrent SAS techniques across a wide range of applications. Presents an overview of the theory and applications of mixedmodels in medical research, including the latest developments andnew sections on incomplete block designs and the analysis ofbilateral data. Easily accessible to practitioners in any area where mixedmodels are used, including medical statisticians andeconomists. Includes numerous examples using real data from medical andhealth research, and epidemiology, illustrated with SAS code andoutput. Features the new version of SAS, including new graphics formodel diagnostics and the procedure PROC MCMC. Supported by a website featuring computer code, data sets, andfurther material. This third edition will appeal to applied statisticians workingin medical research and the pharmaceutical industry, as well asteachers and students of statistics courses in mixed models. Thebook will also be of great value to a broad range of scientists,particularly those working in the medical and pharmaceuticalareas.

Recent Advances In Quantitative Methods In Cancer And Human Health Risk Assessment

Author : Lutz Edler
ISBN : 9780470857663
Genre : Mathematics
File Size : 22. 93 MB
Format : PDF, Docs
Download : 462
Read : 278

Get This Book


Human health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendium of state-of-the-art methods proposed and used, featuring contributions from eminent authors with varied experience from academia, government, and industry. Provides a comprehensive summary of currently available quantitative methods for risk assessment of both cancer and non-cancer problems. Describes the applications and the limitations of current mathematical modelling and statistical analysis methods (classical and Bayesian). Includes an extensive introduction and discussion to each chapter. Features detailed studies of risk assessments using biologically-based modelling approaches. Discusses the varying computational aspects of the methods proposed. Provides a global perspective on human health risk assessment by featuring case studies from a wide range of countries. Features an extensive bibliography with links to relevant background information within each chapter. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment will appeal to researchers and practitioners in public health & epidemiology, and postgraduate students alike. It will also be of interest to professionals working in risk assessment agencies.

Amstat News

Author :
ISBN : UOM:39015055745395
Genre : Statistics
File Size : 72. 44 MB
Format : PDF, Mobi
Download : 428
Read : 1285

Get This Book



Encyclopedia Of Environmetrics

Author : Abdel H. El-Shaarawi
ISBN : 0471899976
Genre : Mathematics
File Size : 48. 19 MB
Format : PDF, Docs
Download : 396
Read : 404

Get This Book


A comprehensive overview of environmetric research and its applications... Environmetrics covers the development and application of quantitative methods in the environmental sciences. It provides essential tools for understanding, predicting, and controlling the impacts of agents, both man-made and natural, which affect the environment. Basic and applied research in this area covers a broad range of topics. Primary among these are the quantitative sciences, such as statistics, probability and applied mathematics, chemometrics, and econometrics. Applications are also important, for example in, ecology and environmental biology, public health, atmospheric science, geology, engineering, risk management, and regulatory/governmental policy amongst others. * Divided into 12 sections, the Encyclopedia brings together over 600 detailed articles which have been carefully selected and reviewed through the collaborative efforts of the Editors-in-Chief and the appropriate Section Editor * Presented in alphabetical order all the articles will include an explanatory introduction, extensive cross-referencing and an up-to-date bibliography providing literature references for further reading. Presenting state of the art information in a readable, highly accessible style, the scope and coverage provided by the Encyclopedia of Environmetrics will ensure its place as the landmark reference for the many scientists, educators, and decision-makers working across this multidisciplinary field. An essential reference tool for university libraries, research laboratories, government institutions and consultancies concerned with the environmental sciences, the Encyclopedia of Environmetrics brings together for the first time, comprehensive coverage of the full range of topics, techniques and applications covered by this multidisciplinary field. There is currently no central reference source which addresses the needs of this multidisciplinary community. This new Encyclopedia will fill this gap by providing a comprehensive source of relevant fundamental concepts in environmetric research, development and applications for statisticians, mathematicians, economists, environmentalists, ecologist, government officials and policy makers.

Department Of Homeland Security Bioterrorism Risk Assessment

Author : National Research Council
ISBN : 9780309120289
Genre : Political Science
File Size : 27. 89 MB
Format : PDF, ePub, Mobi
Download : 323
Read : 748

Get This Book


The mission of Department of Homeland Security Bioterrorism Risk Assessment: A Call for Change, the book published in December 2008, is to independently and scientifically review the methodology that led to the 2006 Department of Homeland Security report, Bioterrorism Risk Assessment (BTRA) and provide a foundation for future updates. This book identifies a number of fundamental concerns with the BTRA of 2006, ranging from mathematical and statistical mistakes that have corrupted results, to unnecessarily complicated probability models and models with fidelity far exceeding existing data, to more basic questions about how terrorist behavior should be modeled. Rather than merely criticizing what was done in the BTRA of 2006, this new NRC book consults outside experts and collects a number of proposed alternatives that could improve DHS's ability to assess potential terrorist behavior as a key element of risk-informed decision making, and it explains these alternatives in the specific context of the BTRA and the bioterrorism threat.

Springer Handbook Of Engineering Statistics

Author : Hoang Pham
ISBN : 9781852338060
Genre : Business & Economics
File Size : 38. 85 MB
Format : PDF, ePub, Docs
Download : 170
Read : 1271

Get This Book


In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.

Coenoses

Author :
ISBN : STANFORD:36105020612318
Genre : Ecology
File Size : 58. 19 MB
Format : PDF, ePub, Docs
Download : 947
Read : 932

Get This Book



Top Download:

Best Books