Sentences with phrase «what statisticians»

In the quoted paragraph above, Rogers is describing what statisticians call «omitted variable bias.»

And adaptation to changing climate, particularly wider extremes (what the statisticians call variances), is going to require serious amounts of work being done.

What the statisticians have done is to attempt to match individual pupils in schools with their families» income through looking at tax payments and tax credits details.

The outcome of the lottery, a random event, was used to create what statisticians refer to as an instrumental variable, which obtains unbiased estimates of the effects of attending private school on students» test scores.

This resource will provide a useful structure for encouraging students to think about what statistics is and improve their general knowledge about what statisticians have achieved.

In doing so, he avoided scrutinizing the borrower as an individual and instead lumped him in a group of people — what statisticians today call a bucket.

That makes it difficult to distinguish relevant variables from irrelevant ones — what statistician Nate Silver calls the «signal» and the «noise.»

So all I can do is use what a statistician once described contemptuously to me as «mere counting.»

Not exact matches

The project involved 13 statisticians working with about 18,000 variables for 750,000 residential postal codes to try to fill in what was missing from the 2011 National Household Survey.

To get a sense of what's happening in the bawdy houses of the nation, the OECD suggests statisticians begin with an estimate of the total number of prostitutes.

It will not help a agriculture major improve yield or a statistician to know what to order for his retail company based on previous trends.

And seriously, who cares what computer scientists, statisticians, philosophers and atmospheric scientists think...

Given that nobody knows what running a regression analysis actually involves, it shouldn't be too difficult for the world's statisticians to convince the media that it is an exhausting, physically taxing process that involves literally running.

Club historian Rick Glanvill and club statistician Paul Dutton look at what the capital can dish up...

To find out what milestone the LFC No. 20 could reach, plus more need - to - know pre-match facts and figures, courtesy of club statistician Ged Rea, read on...

«There's so much more receptiveness now to a statistician walking up to somebody like a lawyer and saying, «Hey, can we apply quantitative tools to study what you're doing?»»

At a recent meeting, doctors, clinical trial experts, and statisticians made the case for a new type of experiment: pragmatic clinical trials, which focus less on basic biology and more on what doctors need to make decisions.

They also need statisticians to design more efficient clinical trials, structural biologists to discover what features of molecules elicit what immunity, and chemists to develop adjuvants, the chemical agents that boost the immune reaction to a vaccine.

The least one ought to be able to expect in a book by a statistician is (a) clear specification of what is being depicted by the numbers that are presented and (b) appropriate indication of the magnitudes of uncertainties (as reflected, for example, in the range of respectable estimates of a quantity of interest).

Unfortunately no good data on what percentage of folks working as statisticians (with degrees) are competent in a clinical research setting — my guess / prior is 10 %

ps: if you go to your local statistics department, 50 % of the statisticians will agree with what I've written above.

But the researchers got the dating company to allow them to publish their survey analysis no matter what it showed, and the group hired an outside statistician to validate the work.

The DfE has some good statisticians who know what these figures mean, but some low life on the PR side seems to think they can completely misinterpret data.»

First, I will start by saying that the title of this article is misleading in that what this «little - known» statistician contributed to the field of education was hardly «little» in terms of its size and impact.

Hence, to assert that what this «little known» statistician contributed to education was trivial or inconsequential is entirely false.

What I did find very interesting, however, was an article about a set of «five Los Alamos physicists, statisticians and math experts» who responded to some of New Mexico's VAM critics who charged «it would take a rocket scientist to figure out the complex formula» being used to measure teacher's value - added.

This is very much in line with current trends to combine different tests to measure value - added given statisticians and (particularly in the universe of VAMs) econometricians» «natural predilections» to find (and force) solutions to what they see as very rational and practical problems.

I asked my statistician to scour the internet for what he thought was the most intelligent, insightful, educated theory of how Amazon's sales ranking works.

Fortunately, at EssaySupply.com, we have a great staff of statisticians — Ph.D.'s who know exactly what statistical formulae to use in the analysis of your data, and how to best report your findings.

More better quality data is what makes the real difference... although at the cutting - edge, the mathematicians / statisticians / computer scientists that design the algorithms will make a huge difference.

I don't know what the Fed's statisticians are doing here, but I am going to look into it, because it is troubling to wonder if your data series is sound or not.

The centering method Mann used (based on what I've read) was, to statisticians, both irregular and incorrect.

If one of you statisticians regularly teaches the subject, please offer a two - bit explanation for the cheap seats about what the issues are.

Deciding how to analyze data is what the scientist and statistician spend a lot of time working on.

What would Statistician say?

As to me needing to formally publish in a journal, I would prefer some qualified scientist, engineer, statistician, or economist (who is twenty or thirty years younger) to take what I have done, improve on it and get it published.

I get nervous when a statistician tells me he can get different results depending on what model he uses.

Where statistics is involved (in much science it seems), the institution frequently audits, via independent analysis by house statisticians who do not know what the data represents.

In a few months we will find out a small, filtered version of what they said and possibly something of what the BoM approved statisticians think about the nameless, unlinked, public - submissions.

I have had two different statisticians give me totally opposite answers to the question of the validity of tests for certain data sets and on more than one occasion been told that either my data collection or analysis methods will depend on what I want to find out.

What's a statistician to do?

What proper statistician ahs backed Mann's methods?

What do you think of the way «climate scientists» have abandoned the r2 statistic used by all statisticians (because it did nt give the results they wanted), and invented their own «RE» statistic?

Anyone have a ballpark estimate of how many scientists and / or, statisticians are capable of comprehending what's going on here and putting it to use?

What about confidence intervals, a non-Bayesian statistician would rightly ask?

Horatio: I thought it might, but I emphasize this because I think there is evidence (various places in SSWR) that the Wegman Report and later talks by Wegman and Said were doing what they could to foster a statisticians - vs - climate scientists fight.

Since they «knew» the Antarctic had to be warming, Steig et al. with guess statistician Micheal E. Mann «found» what they were looking for.

I have been longer than what I intended even if I only wanted to say that basically all climate issues are self - referentially contained in stochastic properties of u and that's why the statisticians will play a bigger and bigger role.

But from what I read about his demolition of Mann et al's Hockey Stick method, he is certainly a better statistician than Mike Mann.

The report is intriguing because the AP provided their data to four independent statisticians without telling them what it was, and all four found that the slower warming of the past decade was statistically insignificant with respect to the actual data.