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population mean cumulative function (MCF), which yields most of the information sought. Recurrent Events Data Analysis for Product Repairs, Disease;
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. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where;
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. For Chapters 3, 4 and 6 the prerequisites include number theory, linear algebra and complex analysis. The first part of the book presents;
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and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes;
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This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;
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This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;
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Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource;
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Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;
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Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;
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area. It provides a thorough analysis of both internal and external joints and repairs, as well as discussions on damage tolerance, non;
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and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an;
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and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an;
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The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs;
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obstetrical care. This is the first and only manual to provide necessary content on how this should be handled for accurate and effective data;
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obstetrical care. This is the first and only manual to provide necessary content on how this should be handled for accurate and effective data;
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information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;
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panoramic overview of the different therapeutic options and enable the reader to balance their benefits and drawbacks. Indications for surgery and;
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methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered;
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methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered;
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A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases. Alzheimer's;
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identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for;
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applications to rs-fMRI analysis; Frequency domain analysis of rs-fMRI; Applications of rs-fMRI to epilepsy; Data-driven analysis methods for rs-fMRI;
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other potentially epidemiologically relevant information in real time. With a wide range of data available for analysis, decision-making and;
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Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;
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Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;
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geological hazards. Technical issues discussed include: accuracy analysis, derived product creation, software comparisons and copyright;
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, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into;
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