Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 119 for “"Event Data"”.
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Recurrent Event Data Analysis with Mismeasured Covariates
… every unit is monitored for the occurrence of an event that can recur with random end of monitoring. At each recurrence, p concomitant variables associated to the event recurrence are recorded with q (q ≤ p) collected with errors. Of interest in this dissertation is the estimation of the …
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Cox-type model validation with recurrent event data
<p>"Recurrent event data occurs in many disciplines such as actuarial science, biomedical studies, sociology, and environment to name a few. It is therefore important to develop models that describe the dynamic evolution of the event occurrences. One major problem of interest to researchers with …
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Applying machine learning to event data in soccer
… to discover new knowledge from a soccer ball-event dataset by applying different machine learning techniques. In this thesis we present three experiments that address three interesting questions in soccer that involve game prediction and team style. We approach each question by constructing …
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Structural Model Discovery in Temporal Event Data Streams
… (IRSM). More intelligent ways of conducting data analysis have been explored in recent years. Ma- chine learning and data mining systems that utilize pattern classification and discovery in non-textual data promise to bring new generations of powerful "crawlers" for knowledge discovery, e.g., …
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Modelling multivariate longitudinal outcomes and time-to-event data
… repeatedly over time while observing a time-to-event outcome among subjects. Joint models for longitudinal and survival data simultaneously analyse repetitively measured outcomes and associated event times. They offer valuable applications in two contexts: accounting for time-varying covariates …
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Continuously Collecting Software Development Event Data As Students Program
… discouraging bad development habits, more data about student development is needed. The purpose of this research is to design and implement software to collect data continuously as students work on programming projects and provide it in useful forms to instructors and researchers so that …
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A proposal for inter-enterprise communication of RFID event data
Inter-enterprise communication of RFID event data requires rules and consistency. To create those rules and consistency one has to understand the requirements for the event architecture. I identified fifty-one stakeholders and thirty touch points in a textile supply chain from manufacturer in China …
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Integrating Novel Connected Vehicle Event Data for Proactive Road Safety Improvement
… of novel Connected Vehicle (CV) hard braking event (HBE) data for proactive road safety improvement. It comprised four distinct but related studies. The first part of the dissertation presents a systematic review of existing studies on the use of CV events and related data in road safety …
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Evaluation of the flail space model utilizing event data recorder technology
… validity of the model. Recent implementation of Event Data Recorder (EDR) technology in a number of late model vehicles presents a different perspective on the assessment of the validity of occupant risk based on the flail space model. EDRs are capable of electronically recording data such as …
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Methods for two-sample comparisons from censored time-to-event data
In the analysis of censored survival data, it is frequently of interest to determine the efficacy of a treatment or new method over a control or existing method. For this purpose, one may report estimates of the two survival functions or, more specifically, their difference, accompanied by …
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Applications of Event Data Recorder Derived Crash Severity Metrics to Injury Prevention
… crucial, as the purpose of the hardware is to prevent the vehicle from colliding with a more detrimental roadside object, all the while minimizing, and not posing additional, risk to the occupants. Unlike the new vehicle regulatory crash tests conducted by the National Highway Traffic Safety …
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The accuracy of energy-based crash reconstruction techniques using event data recorder measurements
… to result in large errors. The recent advent of Event Data Recorder (EDR) technology has provided engineers with measured delta-Vs from real-world collisions. These accurate measurements were the basis for several studies conducted in this thesis.</p> <p>As EDRs are a new technology, little has …
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Federated Survival Analysis: Ensemble and Neural Methods for Distributed Time-to-Event Data
L'abstract è presente nell'allegato / the abstract is in the attachment
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Bayesian models for unmeasured confounder in the analysis of time-to-event data.
… we consider the specific case of time-to-event data. We also provide both the Bayesian parametric and the semi-parametric "twin regression" approaches with distributional assumptions of an unmeasured confounding variable, and then we compare them with the naive model. This assumes we …
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Evaluation of event data recorders in real world crashes and full-scale crash tests
… of these safety systems in what are known as Event Data Recorders (EDRs). Since the only other record of these parameters, specifically crash pulse, comes from staged crash tests in a controlled environment, the advent of the EDR has become increasingly important to crash researchers. The …
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Statistical inference for residual time quantiles in regression models for censored time-to-event data
… develop new methods for the analysis of time-to-event data. In particular, we are concerned with residual time, or the time remaining to an event after a certain amount of time has passed since time zero. We develop methods to estimate quantiles of residual time under a few different settings: …
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Improving Earthquake Disaster Models with Post-Event Data: Insights from the 2015 Gorkha, Nepal Earthquake
<p>Immense amounts of data are collected following earthquake disasters. Yet, it remains unclear how researchers’ might take full advantage of diverse post-disaster datasets. Using data from the 2015 Gorkha Nepal earthquake, this dissertation explores three ways in which post- disaster survey and …
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The Potential of Event Data Recorders to Improve Impact Injury Assessment in Real World Crashes
Event data recorders (EDRs) are an invaluable data source that have begun to, and will increasingly, provide novel insight into motor vehicle crash characteristics. The "black boxes" in automobiles, EDRs directly measure precrash and crash kinematics. This data has the potential to eclipse the many …
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