Sentence examples for models which estimated from inspiring English sources

The analyses reported the changes in means in item responses, and fitted models which estimated differential item functioning (DIF), and local dependency (LD) between items.

We applied data contained in the validation set to the BETS-3 and BETS-12 models, which estimated the likelihood of postoperative survival at both 3 and 12 months, for each record.

To document trends in the cesarean rate over a period of 10 years, the first survey conducted in 2002 was set as a reference in 4 binary logistic regression models, which estimated odds ratios (ORs) and adjusted odds ratios (aORs) as well as 95% confidence intervals (CIs) for significance testing.

Our hypothesis is that using haploblocks that contain the main SNP effects (i.e. the SNPs with the highest absolute effect estimated using the models which estimated effects of all individual SNPs simultaneously, and the haploblocks containing these SNPs are referred to as QTL-haploblocks hereafter) can improve genomic prediction.

They also developed macroscopic models, which estimate emissions more roughly from few parameters that are considered most influential.

Two common approaches to assess these impacts are process-based simulation models, which attempt to represent key dynamic processes affecting crop yields, and statistical models, which estimate functional relationships between historical observations of weather and yields.

It includes, for evaluating the daily global solar radiation values at a given latitudes, four models which estimate the atmospheric transmissivity by measurements of daily temperature range and precipitations.

Similar to zero-inflated models, hurdle models are two part models which estimate both a binomial probability and a count model (McDowell, 2003).

Most commonly used are traditional word-based n-gram language models, which estimate the conditional probability of each word given the previous n−1 words.

But most importantly, our HIV specific models fit dramatically better than any commonly used amino acid models, and nearly always better than parameter rich reversible models which estimate rates directly from the data set being tested.

Each network is based on localized linear models, which estimate expression values of all the genes.