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In these schemes, the CIR estimate is obtained through the correlation of the received symbols with copies of transmitted pseudorandom sequences that are stored in the receiver (known a priori).
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Material parameter estimates are obtained through an identification study, where the error between experimental and computed stress response is minimized.
The significance of the estimates was obtained through permutation tests, using 1000 permutations.
The IV-estimates are obtained through a rescaling of the reduced form estimates with the proportion of conscripts per birth cohort.
Probabilistic lahar hazard estimates are obtained through the use of volume and location outputs from the lahar susceptibility method as the input for lahar flow models.
The host-related variables included in the prediction models are routinely used for patient management and relatively easy to obtain, while viral variability estimates are obtained through laborious methods.
However, it should be noted that these parameter estimates were obtained through analysis of data for all subjects.
a All estimates were obtained through gender-stratified multilevel multivariate logistic regression models; b CI = confidence interval.
The combined estimates were obtained through weighted regression in which the weights were the inverse of the local variances, that is, the fixed-effect model.
A lognormal-normal moderated variance (LNNMV) model was fitted to the data; parameter estimates were obtained through 20 iterations of an expectation-maximization (EM) algorithm where convergence was achieved after 10 iterations.
Multivariable estimates were obtained through independent adaptation of the corresponding univariable associations, and are adjusted for the following variables: female sex, age in decades, history of myocardial infarction (MI), congestive heart failure (CHF), ischemia on electrocardiogram, renal co-morbidity and lung co-morbidity.
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