Sentence examples for generalized distribution of from inspiring English sources

Considering the results of previous work that assessed the validity of various statistical models of glass strength, we use a generalized distribution of the Weibull type to derive new partial factors that account for a lower bound for glass strength or not.

However, it is computationally expedient to deal with a single force (F_{B,m} = T_{m} l/bar{L}_{m}) as shown in Fig. 1f rather than the generalized distribution of forces F B,i of the same figure that result in a stepwise variation of shear forces along the frame.

34 Moreover, the amplitudes and conduction velocities of motor and sensory responses were linearly correlated supporting the generalized distribution of demyelination.

In the T-R{Y} framework, the random variable T is a 'transformer' that is used to 'transform' the random variable R into a new family of generalized distributions of R.

By allowing T with different supports makes the T-R{generalized lambda} a desirable method for generating new versatile and broad families of generalized distributions for any given random variable R. Some general properties of these families of distributions are studied.

While the ACTA1wildtype-GFP protein demonstrated a clear striated pattern, with well-defined Z-disk structures, ACTA1D286G-eGFP showed more generalized distribution throughout the length of the thin filament (Fig.  13a).

The effect of cold plasma injection and temporal evolution of whistler mode instability have been studied in the presence of perpendicular AC electric field for the generalized distribution function in the magnetosphere of Uranus [21, 24, 25].

This paper proposes the use of a generalized distribution, namely the Generalized T (GT) distribution in the joint estimation of process states and model parameters.

The aim of the present paper is to allow more general distributions of the sample vector, and to study exact distributions of generalized Chi-square and Fisher statistics being based upon the maximum likelihood estimators of the model's scaling parameters.

On the other hand, a new accurate approach was developed based on Riazi's generalized distribution model with input data of molecular weight (M7+), specific gravity (SG7+) and true boiling point distribution (Tb).

We also discuss different estimation methods for the parameters in the three-parameter B-S distribution and study their performances in Section 4. Two numerical examples are given in Section 5 to illustrate the usefulness of the generalized distribution and the estimation methods.