Sentence examples for history sampling from inspiring English sources

Fire return interval (FRI) data from 870 fire history sampling sites were stratified by subregion and analyzed with the non-parametric Kaplan-Meier survival model and Cox Proportional Hazards (PH) regression model for survival data.

Population predictions on the other hand are based on the population parameter values, the dosing history, sampling times and individual covariate information alone.

aProportions are weighted for age, race, study site, and first-degree family history sampling probabilities.

Individual predictions are the result of a model fit to the data, which is based on dosing history, sampling time, individual covariate information and observed concentrations.

For unknown parameter estimation only short time history samples are needed.

In the case of short time history samples loading spectra have to be extrapolated.

Then, by discretizing the random acceleration process, we obtained 628 non-stationary earthquake acceleration time history samples with assigned probabilities.

This study presents a comprehensive assessment of various methods for extreme value analysis of non-Gaussian wind effects using short-term time history samples.

The site-specific stochastic seismic response of the ground was then analyzed using the PDEM with the previously mentioned 628 acceleration time history samples.

The problems discussed in Incremental SVM algorithm are how to discarding history samples optimally and how to selecting new training instances in successive learning procedure.

For example, the US Social Security Administration (SSA) has been compiling a Continuous Work History Sample (CWHS) since the late 1930s', which is a one-percent stratified cluster probability sample of all possible Social Security numbers.