Sentence examples for traditional maximum from inspiring English sources
Mortgages for such homes can be longer (50 years as opposed to the traditional maximum of 35 years) and building approvals will be simpler.Property experts think these measures are too timid, however.
In his testimony, Mr. Montgomery, the F.H.A. commissioner, said that the agency would relax its underwriting rules to allow borrowers who have had up to two late mortgage payments in the last year to qualify for a new federally insured loan, at the traditional maximum of 97percentt of the home's current value.
The research results indicate that LSMA offers a better classified map than the traditional Maximum Likelihood Classification with an improved overall accuracy from 78.99% to 86.20%.
To focus on GMPPT techniques used in PSC, traditional maximum power point tracking techniques and circuit architectures that cannot distinguish GMPP and LMPP were not discussed.
Minimum weight formulations with stress constraints have been recently proposed as an alternative to the traditional maximum stiffness statements for the topology optimization of structures.
We propose in this paper an empirical Bayes estimation method and compare its performance with that of the traditional maximum likelihood method.
They allow circumventing the difficulty of calculating a likelihood function inherent to the more traditional maximum-likelihood or Bayesian approaches, which make them particularly appealing in our case.
For present purposes, we have chosen to report results using traditional maximum-likelihood estimation.
Traditional maximum-likelihood estimates (i.e., unadjusted estimates as presented here) can be viewed as a special case of semi-Bayesian analysis in which the prior variance is infinite.
An identical pattern of results emerged as when using traditional maximum-likelihood estimation, although the goodness-of-fit chi-square values were generally smaller.
When the gene or locus number is much higher than the sample size in a dataset, a traditional maximum-likelihood estimate for covariance variance is often not appropriate (Schafer and Strimmer 2005; Uhler 2012).
