Robust Scan Statistics For Detecting A Local Change In Population Mean
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Robust Scan Statistics For Detecting A Local Change In Population Mean
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Author : Qianzhu Wu
language : en
Publisher:
Release Date : 2016
Robust Scan Statistics For Detecting A Local Change In Population Mean written by Qianzhu Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Electronic dissertations categories.
The major part of this dissertation is focusing on robust scan statistics for detecting a local change in population mean, for one and two dimensional normal data, in presence of outliers. I investigate the performance of scan statistics based on moving medians of the observed data. When no outliers are present, approximations and inequalities are derived for tail probabilities of fixed window scan statistics based on moving medians. The performance of these scan statistics are evaluated and compared to the performance of scan statistics, based on moving sums, that have been previously investigated in the statistical literature. Numerical results based on a simulation study, for independent and identically distributed (iid) normal observations with known variance, indicate that in presence of outliers, the scan statistics based on moving medians outperform the scan statistics based on moving sums. These results are extended for iid normal observations when the population variance is unknown. Moreover, the performance of multiple window scan statistic based on moving medians for detecting a local change in population mean, for one and two dimensional normal data, in presence of outliers, when the size of the window where a change has occurred is unknown, has also been evaluated. Scan statistic for detecting a local change in the population mean of iid observations from a continuous unknown distribution, in presence of outliers is investigated as well. Both fixed window robust scan statistics and multiple window robust scan statistics performed well in each case for moderate or large shift in population mean.
Scan Statistics For Detecting A Local Change In The Scale Parameter For Gamma Random Variables
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Author : Qian Meng
language : en
Publisher:
Release Date : 2019
Scan Statistics For Detecting A Local Change In The Scale Parameter For Gamma Random Variables written by Qian Meng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic dissertations categories.
In this dissertation scan statistics for detecting a local change in the scale parameter for gamma and exponential random variables are investigated for both one dimensional and two dimensional cases. The shape parameter is assumed to be known for the gamma random variables. When the size of the window where the local change occurs is known but the scale parameter in null hypothesis is unknown, conditional fixed window scan statistics are proposed. When the true window size is unknown, conditional multiple window minimum $p$-value scan statistics and variable window scan statistics based on generalized likelihood ratio test principle are developed. The performance of the proposed scan statistics is evaluated by Monte Carlo simulation studies. For moderate to large shift in scale parameter, conditional fixed window scan statistics with the correct scanning window size, multiple window and variable window scan statistics all performed well.
Scan Statistics
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Author : Joseph Glaz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Scan Statistics written by Joseph Glaz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
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.
Data Mining And Methods For Early Detection Horizon Scanning Modelling And Risk Assessment Of Invasive Species
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Author : Aristides Moustakas
language : en
Publisher: Frontiers Media SA
Release Date : 2018-05-03
Data Mining And Methods For Early Detection Horizon Scanning Modelling And Risk Assessment Of Invasive Species written by Aristides Moustakas and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-03 with categories.
Invasive alien species are non-indigenous taxa introduced to areas beyond their natural distribution and bio-geographical barriers by human activity, with important impacts on biodiversity, human health and ecosystem services. With the human population being higher than ever before and increasing, together with unprecedented rates of mobility of humans and goods, the introduction of new invasive species is more common than ever and is at the forefront of research in many disciplines such as ecology, epidemiology and food security. The mechanisms of successful introduction, establishment and spread of invasive alien species are highly complex as biological, social, geographic, economic and climatic factors influence the way an invasive species is introduced and determine the options available for its eventual detection and control. With the rapid development of smart sensors, social networks, digital maps and remotely-sensed imagery, spatio-temporal data are more ubiquitous and richer than ever before. The availability of such large datasets (Big data) poses great challenges in data analysis. In addition, increased availability of computing power facilitates the use of computationally-intensive methods for the analysis of such data. Thus new methods are needed to efficiently study and understand biological invasions. A Research Topic held in Frontiers Environmental Informatics aimed to address this topic. Methods are defined in the widest terms and may be analytical, practical or conceptual. Among others, a key aim of the thematic was to maximize the use of the proposed methods/techniques by the scientific community and environmental stakeholders.
Bulletin Of The Atomic Scientists
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Author :
language : en
Publisher:
Release Date : 1961-05
Bulletin Of The Atomic Scientists written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961-05 with categories.
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Statistical Parametric Mapping The Analysis Of Functional Brain Images
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Author : William D. Penny
language : en
Publisher: Elsevier
Release Date : 2011-04-28
Statistical Parametric Mapping The Analysis Of Functional Brain Images written by William D. Penny and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-28 with Psychology categories.
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. An essential reference and companion for users of the SPM software Provides a complete description of the concepts and procedures entailed by the analysis of brain images Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data Stands as a compendium of all the advances in neuroimaging data analysis over the past decade Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes Structured treatment of data analysis issues that links different modalities and models Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
Genome Research
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Author :
language : en
Publisher:
Release Date : 2009
Genome Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Gene amplification categories.
Journal Of Rehabilitation Research And Development
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Author :
language : en
Publisher:
Release Date : 2009
Journal Of Rehabilitation Research And Development written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Disabled veterans categories.
Uncertainty And Context In Giscience And Geography
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Author : Yongwan Chun
language : en
Publisher: Routledge
Release Date : 2021-05-13
Uncertainty And Context In Giscience And Geography written by Yongwan Chun and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-13 with Science categories.
Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data – including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) – inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.
Journal Of Rehabilitation Research Development
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Author :
language : en
Publisher:
Release Date : 2009
Journal Of Rehabilitation Research Development written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Disabled veterans categories.