Silvia G Priori's Books

Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

By: Silvia G Priori

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Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

By: Silvia G Priori

Long QT syndrome is a heart rhythm disorder that can cause fast, chaotic heartbeats. In some cases, long QT syndrome can cause sudden death. Long QT syndrome may result from a genetic mutation or be caused by certain medications and medical conditions. The condition is treatable with medication, surgery, or an implantable device. Because it may have serious consequences, it's important for electrophysiologists to know about long QT syndrome.

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119

Publisher

Elsevier Health Sciences

Published Date

ISBN 10

1455738352

ISBN 13

9781455738359

Statistics and the Evaluation of Evidence for Forensic Scientists

By: Colin Aitken,Franco Taroni,Silvia Bozza

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Statistics and the Evaluation of Evidence for Forensic Scientists

By: Colin Aitken,Franco Taroni,Silvia Bozza

Statistics and the Evaluation of Evidence for Forensic Scientists The leading resource in the statistical evaluation and interpretation of forensic evidence The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest research and developments in the use of statistical techniques to evaluate and interpret evidence. Courts are increasingly aware of the importance of proper evidence assessment when there is an element of uncertainty. Because of the increasing availability of data, the role of statistical and probabilistic reasoning is gaining a higher profile in criminal cases. That’s why lawyers, forensic scientists, graduate students, and researchers will find this book an essential resource, one which explores how forensic evidence can be evaluated and interpreted statistically. It’s written as an accessible source of information for all those with an interest in the evaluation and interpretation of forensic scientific evidence. Discusses the entire chain of reasoning–from evidence pre-assessment to court presentation; Includes material for the understanding of evidence interpretation for single and multiple trace evidence; Provides real examples and data for improved understanding. Since the first edition of this book was published in 1995, this respected series has remained a leading resource in the statistical evaluation of forensic evidence. It shares knowledge from authors in the fields of statistics and forensic science who are international experts in the area of evidence evaluation and interpretation. This book helps people to deal with uncertainty related to scientific evidence and propositions. It introduces a method of reasoning that shows how to update beliefs coherently and to act rationally. In this edition, readers can find new information on the topics of elicitation, subjective probabilities, decision analysis, and cognitive bias, all discussed in a Bayesian framework.

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1251

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119245222

ISBN 13

9781119245223

Modern Analysis of Customer Surveys

with Applications using R

By: Ron S. Kenett,Silvia Salini

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Modern Analysis of Customer Surveys

with Applications using R

By: Ron S. Kenett,Silvia Salini

Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a survey. Key features: Provides an integrated, case-studies based approach to analysing customer survey data. Presents a general introduction to customer surveys, within an organization’s business cycle. Contains classical techniques with modern and non standard tools. Focuses on probabilistic techniques from the area of statistics/data analysis and covers all major recent developments. Accompanied by a supporting website containing datasets and R scripts. Customer survey specialists, quality managers and market researchers will benefit from this book as well as specialists in marketing, data mining and business intelligence fields.

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Page Count

533

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470971282

ISBN 13

9780470971284

Bayes Factors for Forensic Decision Analyses with R

By: Silvia Bozza,Franco Taroni,Alex Biedermann

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Bayes Factors for Forensic Decision Analyses with R

By: Silvia Bozza,Franco Taroni,Alex Biedermann

Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability—keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence. Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law. Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context. Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information—scientific evidence—ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty. This book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes. This book is Open Access.

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Page Count

196

Publisher

Springer Nature

Published Date

ISBN 10

3031098390

ISBN 13

9783031098390

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

By: Franco Taroni,Alex Biedermann,Silvia Bozza,Paolo Garbolino,Colin Aitken

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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

By: Franco Taroni,Alex Biedermann,Silvia Bozza,Paolo Garbolino,Colin Aitken

Bayesian Networks “This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.” Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science Second Edition Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader’s own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

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472

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470979739

ISBN 13

9780470979730

Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

By: Silvia G Priori

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Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

By: Silvia G Priori

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Solve jigsaw puzzle

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Page Count

119

Publisher

Elsevier Health Sciences

Published Date

ISBN 10

1455742686

ISBN 13

9781455742684

Book's by Silvia G Priori

Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

Statistics and the Evaluation of Evidence for Forensic Scientists

Statistics and the Evaluation of Evidence for Forensic Scientists

Modern Analysis of Customer Surveys

Modern Analysis of Customer Surveys

Bayes Factors for Forensic Decision Analyses with R

Bayes Factors for Forensic Decision Analyses with R

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

Long QT Syndrome, An Issue of Cardiac Electrophysiology Clinics

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