Sentence examples for chance distribution from inspiring English sources

The issues about the computation of variance and chance distribution are considered.

But we then have randomness without a chance distribution over the outcomes.

For general fuzzy random returns, we suggest an approximation method of computing variance and chance distribution so that C V models can be turned into their approximating models.

When the returns are characterized by trapezoidal fuzzy random variables, we employ the variance and chance distribution formulas to turn C V models into their equivalent stochastic programming problems.

Rather than observing a chance distribution of a participant's reference frame with respect to an array of objects, there is a strong bias to orient the upward z-axis with the viewer's bodily axis.

Compared to a chance distribution (50%), right-handers imagined a higher proportion of right- than left-handed actions (313 vs 32 [90.7%]; χ2 = 228.872, d.f.

An uncertain random simulation algorithm is developed in order to obtain chance distributions and critical values of uncertain random variables.

This tutorial presented situations of chance concepts such as variability and chance distributions in perspectives of biological evolution using five linked pages.

When the inputs and outputs are mutually independent trapezoidal fuzzy random variables, we can turn the chance constraints and the chance objective into their equivalent stochastic ones by applying the established formulas for the chance distributions.

Four technically and conceptually distinct experiments — a random binary generator driven by a microelectronic noise diode; a deterministic pseudorandom generator; a large-scale random mechanical cascade; and a digitized remote perception protocol — display strikingly similar patterns of count deviations from their corresponding chance distributions.

While the ARI has expected value of zero under the generalized hypergeometric distribution, its computed value was consistently positive in the current context even for random parcellations, indicating a shortcoming in its application to spatially constrained comparisons such as these and indicating the need for understanding empirical chance distributions.