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This edited collection brings together internationally recognized
experts in a range of areas of statistical science to honor the
contributions of the distinguished statistician, Barry C. Arnold. A
pioneering scholar and professor of statistics at the University of
California, Riverside, Dr. Arnold has made exceptional advancements
in different areas of probability, statistics, and biostatistics,
especially in the areas of distribution theory, order statistics,
and statistical inference. As a tribute to his work, this book
presents novel developments in the field, as well as practical
applications and potential future directions in research and
industry. It will be of interest to graduate students and
researchers in probability, statistics, and biostatistics, as well
as practitioners and technicians in the social sciences, economics,
engineering, and medical sciences.
This edited collection brings together internationally recognized
experts in a range of areas of statistical science to honor the
contributions of the distinguished statistician, Barry C. Arnold. A
pioneering scholar and professor of statistics at the University of
California, Riverside, Dr. Arnold has made exceptional advancements
in different areas of probability, statistics, and biostatistics,
especially in the areas of distribution theory, order statistics,
and statistical inference. As a tribute to his work, this book
presents novel developments in the field, as well as practical
applications and potential future directions in research and
industry. It will be of interest to graduate students and
researchers in probability, statistics, and biostatistics, as well
as practitioners and technicians in the social sciences, economics,
engineering, and medical sciences.
This book explores different statistical quality technologies
including recent advances and applications. Statistical process
control, acceptance sample plans and reliability assessment are
some of the essential statistical techniques in quality
technologies to ensure high quality products and to reduce consumer
and producer risks. Numerous statistical techniques and
methodologies for quality control and improvement have been
developed in recent years to help resolve current product quality
issues in today's fast changing environment. Featuring
contributions from top experts in the field, this book covers three
major topics: statistical process control, acceptance sampling
plans, and reliability testing and designs. The topics covered in
the book are timely and have a high potential impact and influence
to academics, scholars, students and professionals in statistics,
engineering, manufacturing and health.
This volume presents an eclectic mix of original research articles
in areas covering the analysis of ordered data, stochastic modeling
and biostatistics. These areas were featured in a conference held
at the University of Texas at Dallas from March 7 to 9, 2014 in
honor of Professor H. N. Nagaraja's 60th birthday and his
distinguished contributions to statistics. The articles were
written by leading experts who were invited to contribute to the
volume from among the conference participants. The volume is
intended for all researchers with an interest in order statistics,
distribution theory, analysis of censored data, stochastic
modeling, time series analysis, and statistical methods for the
health sciences, including statistical genetics.
This volume presents an eclectic mix of original research articles
in areas covering the analysis of ordered data, stochastic modeling
and biostatistics. These areas were featured in a conference held
at the University of Texas at Dallas from March 7 to 9, 2014 in
honor of Professor H. N. Nagaraja's 60th birthday and his
distinguished contributions to statistics. The articles were
written by leading experts who were invited to contribute to the
volume from among the conference participants. The volume is
intended for all researchers with an interest in order statistics,
distribution theory, analysis of censored data, stochastic
modeling, time series analysis, and statistical methods for the
health sciences, including statistical genetics.
Bayesian analysis is one of the important tools for statistical
modelling and inference. Bayesian frameworks and methods have been
successfully applied to solve practical problems in reliability and
survival analysis, which have a wide range of real world
applications in medical and biological sciences, social and
economic sciences, and engineering. In the past few decades,
significant developments of Bayesian inference have been made by
many researchers, and advancements in computational technology and
computer performance has laid the groundwork for new opportunities
in Bayesian computation for practitioners. Because these
theoretical and technological developments introduce new questions
and challenges, and increase the complexity of the Bayesian
framework, this book brings together experts engaged in
groundbreaking research on Bayesian inference and computation to
discuss important issues, with emphasis on applications to
reliability and survival analysis. Topics covered are timely and
have the potential to influence the interacting worlds of
biostatistics, engineering, medical sciences, statistics, and more.
The included chapters present current methods, theories, and
applications in the diverse area of biostatistical analysis. The
volume as a whole serves as reference in driving quality global
health research. Â
​This book presents a critical overview of statistical fiber
bundle models, including existing models and potential new ones.
The authors focus on both the physical and statistical aspects of a
specific load-sharing example: the breakdown for circuits of
capacitors and related dielectrics. In addition, they investigate
some areas of open research. This book is designed for graduate
students and researchers in statistics, materials science,
engineering, physics, and related fields, as well as practitioners
and technicians in materials science and mechanical engineering.
This edited collection commemorates the career of Dr. S. Lynne
Stokes by highlighting recent advances in her areas of research
interest, emphasizing practical applications and future directions.
It serves as a collective effort of leading statistical scientists
who work at the cutting edge in statistical sampling. S. Lynne
Stokes is Professor of Statistical Science and Director of the Data
Science Institute at Southern Methodist University, and Senior
Fellow at the National Institute of Statistical Sciences. She has
enjoyed a distinguished research career, making fundamental
contributions to a variety of fields in statistical sampling.
Reflecting on Professor Stokes' main areas of research, this volume
is structured into three main parts: I. ranked-set sampling,
judgment post-stratified sampling, and capture-recapture methods
II. nonsampling errors in statistical sampling III. educational and
behavioral statistics. This collection will be of interest to
researchers, advanced students, and professionals in the public and
private sectors who would like to learn more about latest
advancements in statistical sampling, particularly those who work
in educational and behavioral statistics.
Bayesian analysis is one of the important tools for statistical
modelling and inference. Bayesian frameworks and methods have been
successfully applied to solve practical problems in reliability and
survival analysis, which have a wide range of real world
applications in medical and biological sciences, social and
economic sciences, and engineering. In the past few decades,
significant developments of Bayesian inference have been made by
many researchers, and advancements in computational technology and
computer performance has laid the groundwork for new opportunities
in Bayesian computation for practitioners. Because these
theoretical and technological developments introduce new questions
and challenges, and increase the complexity of the Bayesian
framework, this book brings together experts engaged in
groundbreaking research on Bayesian inference and computation to
discuss important issues, with emphasis on applications to
reliability and survival analysis. Topics covered are timely and
have the potential to influence the interacting worlds of
biostatistics, engineering, medical sciences, statistics, and more.
The included chapters present current methods, theories, and
applications in the diverse area of biostatistical analysis. The
volume as a whole serves as reference in driving quality global
health research.
This book explores different statistical quality technologies
including recent advances and applications. Statistical process
control, acceptance sample plans and reliability assessment are
some of the essential statistical techniques in quality
technologies to ensure high quality products and to reduce consumer
and producer risks. Numerous statistical techniques and
methodologies for quality control and improvement have been
developed in recent years to help resolve current product quality
issues in today's fast changing environment. Featuring
contributions from top experts in the field, this book covers three
major topics: statistical process control, acceptance sampling
plans, and reliability testing and designs. The topics covered in
the book are timely and have a high potential impact and influence
to academics, scholars, students and professionals in statistics,
engineering, manufacturing and health.
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