Sentence examples for changes in the conditional from inspiring English sources

While the classical linear regression model specifies the change in the conditional mean of the dependent variable associated with a change in the covariates, the quantile regression model specifies changes in the conditional quantiles.

The main purpose of our study was to address the following two questions: (i) Is fishing expected to induce evolutionary changes in the conditional migration strategy of salmonids?

Indeed, once the network structure is established, the impact of in silico perturbation of upstream nodes (i.e. by changing the values in the conditional probability bins for one or more nodes) can be tracked through the network structure to assess the changes in the conditional probabilities of the downstream nodes, thereby leading to specific, experimentally verifiable predictions.

LS coefficients measure a change in the conditional mean while QR coefficients measure a change on a given conditional quantile.

In particular, the change in the conditional expectation of students' test scores resulting from the increase of 1-year of parent schooling is 1.96 for reading (Table 2) and 1.98 for mathematics (Table 3).

This paper introduces a new long memory volatility process, denoted by adaptive FIGARCH, or A-FIGARCH, which is designed to account for both long memory and structural change in the conditional variance process.

The generalizations of Equation (1) above to the special case of weighted linear mixed model (WLMM) can be described by the change in the conditional distribution (Yi|bi ~N(Zibi +Xiβ ;RiWi-1) and Σ i  =  Z i ′ W i − 1 G Z i  +  R i W i − 1 where the weights matrix, W, is constant.

Quantile regression offers a more complete statistical model by specifying the changes in the high conditional quantiles and it will be used to estimate values of extreme events (Yu et al. 2003; Hao and Naiman 2007).

In effect, the presence of structural changes in the series of conditional variances as detected via the ICSS algorithm heave motivated us to study Conditional Correlation Dynamics [26] in a second stage as a procedure to determine the contagion effect across markets.

Some of these steps introduce approximations, which can be identified from changes in the set of conditional independence (CI) assertions of a network.

The kth element of vector βθ1 and βθ2 represents the marginal effect of the kth β θ 1   k = ∂ Q θ 1 (M a x. T D D D i | X 1 i ) ∂ X 1 i k and β θ 2   k = ∂ Q θ 2 (C R. T D D D i | X 2 i ) ∂ X 2 i k where βθ1k is the marginal change in the θth conditional quantile as a result of a change in X1ik.