Sentence examples for statisticians concerning from inspiring English sources

Considerations of parsimony and of explanatory sufficiency function as mutual counter-balances, penalizing theories which stray into explanatory inadequacy or ontological excess.[25] What we see here is an historical echo of the contemporary debate among statisticians concerning the proper trade-off between simplicity and goodness of fit.

Thus, during the 1990s discussion amongst medical statisticians concerning teaching statistics to undergraduate medics no longer focussed on whether it needed to be taught, but on what and how medical statistics should be taught [ 10- 12].

The potential "subjectivity" of these priors have made some statisticians and clinicians concerned about the use of this method.

As such, they are used by statisticians to validate the assumptions concerning ε.

Graphical plots and statistical tests concerning the residuals are examined carefully by statisticians, and judgments are made based on these examinations.

Peer review by a statistician also had an impact on quality in items concerning the addition of "oversight or fake", "figures and tables", "diagnostic tests", "power", "organization" and "style".

Statisticians prefer interval estimates because interval estimates are accompanied by a statement concerning the degree of confidence that the interval contains the population parameter being estimated.

Statisticians need only be concerned with the takings of prostitutes who have been resident in the country for more than a year and research is recommended on the supply-side (prostitutes) rather than the demand side (their clients) as it is more reliable.

There is a view, or family of views, called likelihoodism that maintains that the inductive logician or statistician should only be concerned with whether the evidence provides increased or decreased support for one hypothesis over another, and only in cases where this evaluation is based on the ratios of completely objective likelihoods.

But the proliferation of P values (which is happening in many fields) concerns statisticians, because the value by itself doesn't say anything about the size of the effect or its biological significance.

Similarly, some aspects of the framework will not always be relevant for discussion with statisticians, but nevertheless concern issues that still require careful consideration within the research team.