Sentence examples for by applying the probability from inspiring English sources
The first example shows the identification of the significant patterns of fracture intensity categories by applying the probability matrix.
By applying the probability collectives (PCs) technique the original problem is turned into a new problem which is convex over probability distributions.
Additionally, we also tested if the use of airborne laser scanning (ALS) data as auxiliary information would improve the accuracy of the stand level inventory by applying the probability proportional to size sampling to assist the selection of field plot locations.
On the opposite, the unknown probability P { C i } can be derived by applying the total probability theorem, thus obtaining: p rtx ( n ) ( i ) = P { B i } P { C i } = p i ∑ m = 1 n P { D i ( m ) } p V i ( n ) ( m - 1 ) = p i ∑ m = 1 n q ( m ) ( i ) p V i ( n ) ( m - 1 ).
It is obtained by applying the void probability of a Poisson RV: (mathbb {P}[K=0]=exp (-lambda _{mathrm {B}}mathbb {E}[V(mathbf {X}mathbf {Y} oplus B ])).
Suppose X is a random variable with cumulative distribution function (CDF) F x), the CDF for the beta-generated family is obtained by applying the inverse probability transformation to the beta density function.
According to Eugene et al. (2002), suppose X is a random variable with cumulative distribution function (CDF) F x), the CDF for the beta-generated family is obtained by applying the inverse probability transformation to the beta density function.
By applying the two probability density functions of (40) and (41), we can obtain begin{array}{l}pleft x,theta Big|{H}_1right pleft(Yleft omega right)Big|x,theta right) kern1.25em =frac{x}{pi^2{lambda}_x{lambda}_d} exp left -left(gamma +frac{x^2}{left -leftfrac{2Yx cos left(theta -{theta}^{hboxrigamma{lambda_d}right)right)end{array} (42).
The retrieval of similar cases is carried out by a clustering process; following the arrival of a new case, the cluster is retrieved by applying the belonging probability according to the estimated parameters for expectation maximization.
For each hospital, the procedure volume per year was estimated by applying the sampling probabilities to data [ 30].
By applying the individual probabilities of a delay, and an imperfect SEER to Medicare linkage, each patient was assigned a weighted value from 0 to 1 (with a patient receiving 0 if there was a 100% probability that they were not registered in SEER due to a delay or imperfect linkage, and a patient receiving 1 having a zero probability).
