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Event History Analysis in Continuous Time

, 2001
Event history data are obtained by observing individuals over time, focusing on times of occurrence of certain events and the types of event occurring. A review is given of event history analysis (in continuous time) based on multistate models. Examples of such models include the two-state model for survival data and the competing risks and disability ...
Andersen, Per Kragh, Keiding, Niels
openaire   +3 more sources

Statistical Visions in Time: A History of Time Series Analysis 1662-1938

Journal of the American Statistical Association, 1999
Bespreking van: Judy L. Klein,Statistical Visions in Time: A History of Time Series Analysis 1662-1938 Cambridge:Cambridge University Press ...
null DSS, Judy L. Klein
core   +4 more sources

Real-Time City-Scale Time-History Analysis and Its Application in Resilience-Oriented Earthquake Emergency Responses

Applied Sciences (Switzerland), 2019
The resilience of cities has received worldwide attention. An accurate and rapid assessment of seismic damage, economic loss, and post-event repair time can provide an important reference for emergency rescue and post-earthquake recovery.
Xinzheng Lu, Qingle Cheng, Zhen Xu
exaly   +2 more sources

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A Discrete-Time Method for the Analysis of Event Histories

1992
Abstract In demographic longitudinal studies, time measurements in the data are mostly reported in a rounded form: a time unit is fixed, typically a month or a year, and then the interval (of unit length) during which the event in question occurred is reported. Such rounding does cause some problems, however.
Arjas, Elja, Kangas, Pekka
openaire   +1 more source

Time History Seismic Analysis

2013
In the case of design or assessment purposes the seismic capacity of the structural system should be computed for different seismic hazard levels by means of linear or nonlinear time history seismic analyses using a number of properly selected ground motions.
Nikos D. Lagaros, Chara Ch. Mitropoulou, Manolis Papadrakakis   +2 more
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Bayesian analysis of the extreme value of a time history

Reliability Engineering & System Safety, 1988
Abstract This paper addresses the problem of estimating the peak factor of a stationary Gaussian process from the analysis of a single sample record of short duration. Successive extrema of the sample are ordered by decreasing magnitude and used to update the distribution of the maximum likelihood of the peak factor.
openaire   +2 more sources