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simulation Vehicle event data recorder usage Occupant ejection during rollover crash The goal of this title is to break down the various phases;
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Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;
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of event-history analysis, from the initial problems of recording event-oriented data, to data organization, to applications using the software, to;
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students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. It;
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and shows how to use them in spreadsheet-based reverse trajectory analysis. Such methods are also applied to reconstructing rollover crashes;
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are emphasized. Coverage includes: Clear instructions on how to model multistate time--to--event data using flowgraph models An emphasis on;
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Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical;
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data can be used to study the causes of deaths, crimes, wars, and many other human-related events.;
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multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results;
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event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the;
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data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R;
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analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learn Speed up your data;
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significant extension to the robust OLAP functionality of SQL 7.0 and provide a complete, end-to-end platform for analysis. Features include: data;
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The first comprehensive handbook to detail ERP methodology, covering experimental design, data analysis, and special applications. The;
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and information professionals interested in employing these event-based data analysis techniques in diverse applications. The reader;
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and information professionals interested in employing these event-based data analysis techniques in diverse applications. The reader;
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history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many;
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history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many;
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Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools;
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DESCRIPTION Business data is only as valuable as the intelligence that can be extracted from it. Mondrian, AKA Pentaho Analysis, is a;
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Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides;
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This book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in order;
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readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the;
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readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the;
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A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating;
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