Scan Statistics

Scan Statistics

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  • Author: Joseph Glaz
  • Publisher: Springer Science & Business Media
  • ISBN: 1475734603
  • Category : Mathematics
  • Languages : en
  • Pages : 380

In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.


Scan Statistics and Applications

Scan Statistics and Applications

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  • Author: Joseph Glaz
  • Publisher: Springer Science & Business Media
  • ISBN: 1461215781
  • Category : Mathematics
  • Languages : en
  • Pages : 334

The study of scan statistics and their applications to many different scientific and engineering problems have received considerable attention in the literature recently. In addition to challenging theoretical problems, the area of scan statis tics has also found exciting applications in diverse disciplines such as archaeol ogy, astronomy, epidemiology, geography, material science, molecular biology, reconnaissance, reliability and quality control, sociology, and telecommunica tion. This will be clearly evident when one goes through this volume. In this volume, we have brought together a collection of experts working in this area of research in order to review some of the developments that have taken place over the years and also to present their new works and point out some open problems. With this in mind, we selected authors for this volume with some having theoretical interests and others being primarily concerned with applications of scan statistics. Our sincere hope is that this volume will thus provide a comprehensive survey of all the developments in this area of research and hence will serve as a valuable source as well as reference for theoreticians and applied researchers. Graduate students interested in this area will find this volume to be particularly useful as it points out many open challenging problems that they could pursue. This volume will also be appropriate for teaching a graduate-level special course on this topic.


Methods and Applications of Statistics in the Life and Health Sciences

Methods and Applications of Statistics in the Life and Health Sciences

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  • Author: Narayanaswamy Balakrishnan
  • Publisher: John Wiley & Sons
  • ISBN: 0470405090
  • Category : Mathematics
  • Languages : en
  • Pages : 1027

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including: Sequential methods in biomedical research Statistical measures of human quality of life Change-point methods in genetics Sample size determination for clinical trials Mixed-effects regression models for predicting pre-clinical disease Probabilistic and statistical models for conception Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, clinical trials, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.


Analysis of R-scan Statistics for Marker Arrays in Correlated Sequences

Analysis of R-scan Statistics for Marker Arrays in Correlated Sequences

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  • Author: Chingfer S. Chen
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 240


Theory and Applications of Scan Statistics

Theory and Applications of Scan Statistics

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  • Author: I-Ping Tu
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 260


Chaos: A Statistical Perspective

Chaos: A Statistical Perspective

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  • Author: Kung-Sik Chan
  • Publisher: Springer Science & Business Media
  • ISBN: 9780387952802
  • Category : Computers
  • Languages : en
  • Pages : 326

This book discusses dynamical systems that are typically driven by stochastic dynamic noise. It is written by two statisticians essentially for the statistically inclined readers. It covers many of the contributions made by the statisticians in the past twenty years or so towards our understanding of estimation, the Lyapunov-like index, the nonparametric regression, and many others, many of which are motivated by their dynamical system counterparts but have now acquired a distinct statistical flavor.


Scan Statistics

Scan Statistics

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  • Author: Joseph Glaz
  • Publisher:
  • ISBN: 9781475734614
  • Category :
  • Languages : en
  • Pages : 398


Handbook of Scan Statistics

Handbook of Scan Statistics

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  • Author:
  • Publisher:
  • ISBN: 9781461484141
  • Category :
  • Languages : en
  • Pages :


Statistical Methods for Spatial Planning and Monitoring

Statistical Methods for Spatial Planning and Monitoring

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  • Author: Silvestro Montrone
  • Publisher: Springer Science & Business Media
  • ISBN: 8847027519
  • Category : Mathematics
  • Languages : en
  • Pages : 158

The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.


Introduction to Statistical Methods for Biosurveillance

Introduction to Statistical Methods for Biosurveillance

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  • Author: Ronald D. Fricker
  • Publisher: Cambridge University Press
  • ISBN: 1107328063
  • Category : Medical
  • Languages : en
  • Pages :

Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.