Sentence examples for ignoring variables from inspiring English sources

The usage of vars(B w ) instead of all state variables in X is a way to efficiently compute the partitions, ignoring variables that will not affect the transition to block B w.

But you may be ignoring variables that you can't anticipate, and you should, in effect, realize that you can't predict every long-term factor.

Typically, the standard approach in a capture-recapture method is to ignore variables not common to every source, which often leads to biased estimates of the population size [ 24].

The variables of 'invasive instrument in-situ', 'underlying immunosuppression' and 'prior exposure to antibiotic' were considered for inclusion in the multivariable model as binary variables, ignoring constituent variables within the categories.

Correcting for the linear time trend allows us to focus on income as a stationary variable and ignore variability caused by long-term trends in income.

The extensions can also examine whether problems with residual behavior found when ignoring background variables are removed by including background variables in the model.

The quality score associated with those zip codes, of around 4.5%, can be interpreted as 4.5 out of every 1,000 businesses created between 2007 and 2011 can be expected to list or be bought within their first six years.By ignoring geographical variables in the model it is possible to estimate the benefit that startups get from being based in any one location.

Disease association analyses in CN variable loci are therefore currently restricted to the determination of CNs thereby often ignoring the variable sequence contents of the respective copies.

Ignoring the variable initial delay in I f (de)activation, the I f current traces closely resemble a monoexponential process, both during activation and deactivation (cf. Figure 1(a)), which at a given membrane potential can be well fitted using a single time constant τ.

Most studies of the determinants of use of care in Colombia concentrate on personal variables and initial contact with services, and ignore contextual variables - health policy and characteristics of healthcare services.

The stepwise strategy ignores the variables which are not selected as well as the uncertainty or imprecision resulting from the variable selection process itself since the final single model is assumed to be "optimal" [ 19].