Sentence examples for using a truncated normal from inspiring English sources

Exact(8)

The selected stochastic parameters are internal friction angle, cohesion and unit weight, which are modeled using a truncated normal probability distribution function.

The selected stochastic parameters are relative density which is modeled using a truncated normal probability distribution function and the earthquake acceleration ratio and earthquake magnitude which are considered to have exponential probability distribution function.

In order to assess the inherent uncertainty around (point) estimates of total intervention costs and health effects, a subset of intervention strategies were entered into an analytical software package (MCLeague), which performs a probabilistic uncertainty analysis using Monte Carlo simulation (1,000 runs were made, using a truncated normal distribution).

The selected probabilistic parameters are friction angle of sliding surface and apparent cohesion which are modeled using a truncated normal probability distribution function and the depth of water in tension cracks and earthquake acceleration ratio which are considered to have truncated exponential probability distribution function.

A statistical correction factor using a truncated normal distribution was introduced in this equation.

Under this approach, imputation is carried out using a truncated normal distribution with specified minimum and/or maximum bounds for the incomplete variable in a conditional regression model.

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We use a truncated normal distribution TCN 0, ξ 2 / 9 n t, - ξ / 2 n t, + ξ / 2 n t (see [33], Chap. 4 in [34]) to generate each complex entry of the estimation errors.

We use a truncated normal with support ([-p_t,infty ]): (varphi ^{T}left( 0,sigma,-p_t,infty ;x right) = left( frac{varphi left( 0,sigma ^2;x right) }{Phi (0,sigma ^2) - Phi (0,sigma ^2 -p_t)} right) cdot mathbf {1}left( x > -p_tright).) Grid operators determine groups of storage appliances and transmit intervals on group level to desynchronize these large loads (Hastings 1980).

In our implementation, we use a truncated normal distribution as the proposal distribution q θ, where the last accepted sample θ 2 (i ) is the mean and the variance and the boundaries are predefined, i.e. N [ 0.5, 1 ] (θ 2 (i ), 0.01 2 ).

In support of this possibility, the H2d-H2a repeat, when taken out of its normal context, is able to promote formation of dimers, as shown by using a truncated nuclear hormone receptor lacking its own dimerization domain [ 17]).

This function is approximated using a truncated complex Fourier series.

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