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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.
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.
This book covers the latest results in the field
of risk analysis. Presented topics include probabilistic models in
cancer research, models and methods in longevity, epidemiology of
cancer risk, engineering reliability and economical risk
problems. The contributions of this volume originate
from the 5th International Conference on Risk Analysis (ICRA
5). The conference brought together researchers and
practitioners working in the field of risk analysis in
order to present new theoretical and computational methods with
applications in biology, environmental sciences, public health,
economics and finance.
This book covers the latest results in the field of risk analysis.
Presented topics include probabilistic models in cancer research,
models and methods in longevity, epidemiology of cancer risk,
engineering reliability and economical risk problems. The
contributions of this volume originate from the 5th International
Conference on Risk Analysis (ICRA 5). The conference brought
together researchers and practitioners working in the field of risk
analysis in order to present new theoretical and computational
methods with applications in biology, environmental sciences,
public health, economics and finance.
Devoted to the growing impact of statistical methodology and
statistical computing in industry the aim of this book is to link
the three components: Statistics - industry - computers. Different
areas of industrial statistics are presented by a number of
excellent contributions. The following topics are covered: Quality
control, engineering and monitoring; reliability and failure time
analysis, experimental design; repeated measurements - multiple
inference; pharma - statistics; computing, imaging and perception.
This book concentrates on the interface between statistical needs
in industry and statistical methods developed by statisticians and
engineers.
This volume is the proceedings of the 4th International Workshop on
Model-Oriented Data Analysis. This series of events originated in
1987 at a meeting in Eisenach, that successfully brought together
scientists from numerous countries of the 'East ' and 'West'. Now
that this distinction is obsolete dialogue has been greatly
facilitated, providing opportunities for this dialogue, however, is
as vital as ever. The present meeting at Spetses, Greece from 5th
to 9th of June 1995 again assembles statisticians from all over the
world as this book documents. The hospitality offered by the
University of Economics of Athens and the Korgialenios School made
it possible to organize this workshop. The editors are also
grateful to Intracom (Greece), the Ionian Bank and the Procter
& Gamble Company (USA) for their generous support. We would
particularly like to mention Dr. Michael Meredith, who being our
contact person at Procter & Gamble, enabled us to publish these
proceedings. Further thanks go to Dr. Peter Schuster from Physica
Verlag Heidelberg for his continuing support of the project. The
contributions to this volume were carefully selected from the
submissions by the editors after a one stage refereeing process. We
would like to thank the members of the MODA committee, A.C.
Atkinson, R.D. Cook, V.V. Fedorov, P.Hackl, H. Lauter, B.Torsney,
LN. Vuchkov, H.P.Wynn, and A.A. Zhigljavsky, who not only defined
the main topics of the workshop, but also served as the referees.
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.
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.
This book tackles the Optimal Non-Linear Experimental Design
problem from an applications perspective. At the same time it
offers extensive mathematical background material that avoids
technicalities, making it accessible to non-mathematicians:
Biologists, Medical Statisticians, Sociologists, Engineers,
Chemists and Physicists will find new approaches to conducting
their experiments. The book is recommended for Graduate Students
and Researchers.
The pH measurement in chemical analysis is an important index in
numerous applications, e.g. chemical engineering, environmental
science, materials science, biochemistry, pharmaceutical industry.
Routine pH measurements are carried out with pH meter-glass
electrode assemblies. The use of these electrodes is subject to
various effects, producing uncertainties of unknown magnitude.
Therefore, the measurement of pH requires a suitable calibration by
certified standard buffer solutions traceable to primary pH
standards. This monograph addresses the optimal experimental
procedure for the calibration problem to common pH meters, under D-
and c-optimality criteria. By considering the simple regression
model, the main target is to estimate as a nonlinear function the
calibrating value. Two optimal design procedures are adopted to
tackle the problem: D- and c-optimality. Therefore various data
sets are examined, under the D- and c-optimal approach, to obtain
the appropriate model for calibrating pH meters.
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