Sentence examples for models for measurement from inspiring English sources

Risk management literature in the past appears to have concentrated on developing stochastic models for measurement of risk.

Under cluster availability of the Markov modes, we incorporate several models for measurement transmission network channels, such as the generalized Gilbert Elliot, Fritchman or McCullough ones, into the MJLS framework.

This paper introduces a new class of spatio-temporal models for measurements belonging to the exponential family of distributions.

The existence of IRT as a direct model for measurement error obviates the need for such remedies as nonparametric bounds and instrumental variable methods.

As shown in Figure 3, the truncated triangular probability-possibility transformation is described by the following: Figure 2 Block diagram of fuzzy modeling for measurement selection.

In this paper we explore the use of IRT as a direct model for measurement error in cognitive ability in applications common in labor economics.

Rasch analyses were conducted on the extroversion questionnaire and all items displayed adequate fit to the Rasch model for measurement (Linacre, 2007).

For vector quantities so-called fuzzy vectors are the best up to date model for measurement results of continuous vector quantities.

Then we propose a way of correcting this model for measurement frequency, giving a new GEV-scaling model for extremes of aggregated hourly rainfall.

This was confirmed using an evaluation model for measurement results of the resistivity and Seebeck coefficient [15, 22]; however, direct measurement of the carrier mobility, such as Hall effect measurements, has not yet been performed.

The proposed fuzzy modeling for measurement condition estimation contains three steps as shown in Figure 2: (1) fuzzy model parameter preparation, (2) probability-possibility transformation, and (3) measurement condition estimation.