Sentence examples for whose estimates are from inspiring English sources

The mayor had asked for an additional $400 million, but the package is worth between $300 million and $370 million, depending on whose estimates are used.

But 34 million taxpayers will get nothing and an additional 17 million will receive reduced checks, according to Citizens for Tax Justice, an organization financed by labor unions whose estimates are widely accepted in Washington.

The signs, whose estimates are based on traffic flow information collected from sensors in the road and E-ZPass devices on vehicles, were unveiled Oct. 9. Eileen W. Peters, a spokeswoman for the State Department of Transportation, said they are designed to "give motorists a chance to decide if they want to take another route or to call ahead to say they will be late".

Both thresholds are those from the ordered Probit regressions explaining intended retirement age, whose estimates are used when applying the method of simulated residuals.

We also argue that evaluation of the allowable pressure on a substrate should be based on the ultimate pressure corrected by the safety/load factor, k, whose estimates are discussed.

Steven Milunovich of Merrill Lynch, whose estimates are above consensus, pegs that group's profit at 25 cents, followed by services at 10 cents and PCs and enterprise systems at 2 cents apiece.

Smith International and Weatherford International, whose estimates were also reduced, were down by 5.5% and 6.4%, respectively.

The results indicate that the model is robust and accurate in reproducing the behaviour of the two RDCs, especially in what refers to Tf, whose estimates were very close to the observations.

Balancing/adjusting for selection bias was done using a logit model, whose estimates were used to obtain the propensity scores (Dehejia and Wahba 2002) (Table 1).

Newcomers were less likely to use any psychiatric care than their matched LTRs, except for immigrants from Middle East and North Africa whose estimates were not significantly different from their LTR comparators (Fig.  2).

We asked patients for their estimates of local therapy recurrence and mortality risks and counted the number of patients whose estimates were within ± 5% of Adjuvant! before and after the oncology visit, testing whether pre/post changes were significant using McNemar's two-sided test at a significance level of 5%.