Sentence examples for most statistical models from inspiring English sources
In most statistical models for the dam behavior analysis, the thermal effect which is often the main contributor to the total displacement is introduced only by means of the dam temperatures.
(The simplifying assumptions of most statistical models are in fact so great that they can almost never be used successfully to reconstruct the very historical data used to construct the models). They reveal broad tendencies and recurring patterns, but in a dynamic society shot through with willful and imaginative people making conscious choices, they cannot make reliable predictions.
Most statistical models arising in real life applications as well as in interdisciplinary research are complex in their designs, sampling plans, and associated probability laws, which in turn are often constrained by inequality, order, functional, shape or other restraints.
As with most statistical models, a variety of methods are used to estimate IRT models (see Sijtsma and Junker [2006]).
As already explained, most statistical models of DCT coefficients assume that within a subband the coefficients are i.
When the distribution changes, most statistical models need to be rebuilt completely using new labeled training data from the new distribution.
Furthermore, random mating is a commonly accepted assumption for most statistical genetic models usually performed to assess genetic association.
We have provided a detailed review to some of the most used statistical models for the analyses of longitudinal data and relevant design issues based on these models.
Furthermore, while most existing statistical models perform well with simulated data, they often are too sensitive to what is generally considered an acceptable level of biological variation.
We were careful to perform our statistical analyses in a targeted fashion in an attempt to study the most parsimonious statistical models and avoid overfitting of the data.
15 16 To progress recurrent sports injury epidemiology, there is a need for guidance in the most appropriate statistical models for these data.
