Sentences with phrase «statistical problems»

First is the complexity in the climate system, second is the complexity of the research itself, and third is the relatively straight forward statistical problem of assigning meaning to specific numbers.
Identifying human effects on climate is a difficult statistical problem.
Bradley had accused Wegman of plagiarizing his work (more meaningless «boilerplate,» according to Climate Audit, irrelevant to Wegman's findings) in his 2006 report that exposed statistical problems with Mann's work.
Dr Hand admires the meticulous work of Steve McIntyre, a mining consultant and blogger, who unearthed statistical problems in another climate analysis.
Numerous conditions render a pregnancy «high - risk», and the attempt to control for them all led to a model containing 27 covariates, which introduced the possibility of statistical problems such as collinearity.
,» according to Climate Audit, irrelevant to Wegman's findings) in his 2006 report that exposed statistical problems with Mann's work.
Even if effective, these options will also have the same statistical problems as glucola for the screening test and may miss women who have GD or falsely identify women as positive who actually do not have GD.
Unfortunately, plenty of statistical problems besides selection biases continue to wreak havoc on education research.
I think that I've made climate scientists far more aware of these and other statistical problems than previously, whether they are willing to acknowledge this in public or not, and that this is highly «constructive» for the field.
Allowing for such inhomogeneities is an interesting and not very easy statistical problem.
Complete proficiency in Systemic statistical problem solving in & through systems, design, engineering manufacturing and supply chain with cross industry experience, including Automotive, DOD, Government, Oil, Medical, Responsible for leading...
After discovering «a host of statistical problems,» Ayala teamed up with his eponymous father, an evolutionary biologist at the University of California, Irvine, and statistical analyst Andrey Rzhetsky of Columbia University to rework Wray's data.
Researchers from the ESRC Centre for Population Change at the University of Southampton and Statistics New Zealand have published an article in the Routledge journal Population Studies arguing that Bayesian methodology, a statistical tool introduced by Rev. Thomas Bayes in the 18th Century, is vital in providing solutions to many difficult statistical problems, particularly those presented by 21st Century population studies.
The two - hour discussion dealt with the statistical problems inherent in the two respective approaches.
The sad part it, these numbers you trot out, which you are oblivious to the statistical problems inherent in them, were obviously put together by someone with a knowledge of statistics and manipulated so gullible people like yourself would use them to argue a cause which the true evidence does not support.
Leaders with two hats Beyond the statistical problem is the influence that bosses of the state - owned energy enterprises have in the decisionmaking process.
Across all these studies — positive and negative — half of them had statistical problems.
Independence of data points in the measurement of hand preferences in primates: statistical problem or urban myth?
This study, however, potentially suffers from a statistical problem known as aggregation bias.
There are also some questionable assumptions in Howey's methodology, writes Weinberg, and some statistical problems.
Few would disagree that illegal immigration is a problem for the USA and for other Western countries, but it's all too easy to think of it as a statistical problem, not the human problem that it is.
I have had three normal nail injuries (no dewclaws) in 25 + years in dogs, none of which caused any long term problems, and my research both online as well as in person with many vets over the years show the same sort of low numbers of actual front dewclaw injury... certainly not enough of a statistical problem to ever warrant even considering the needless removal of all dewclaws in all puppies.
My understanding of most of the (lets call it) skeptical positions from people like Roy Spencer is that they essentially claim exactly that: the absence of a large signal compared to noise (or natural variability) and the entire debate is essentially about the question, whether noise is a measurement / statistical problem or the very nature of climate itself?
I was talking with a Member of the UK's Royal Statistical Society the other day, and our conversation foundered because he'd read and heard about the mythological «statistical problems» with the Hockey Stick analysis.
A simple sign test could determine if this is true and, since autocorrelations (both spatial and temporal) should act similarly on records at both extremes, I suspect it could be argued that statistical problems would cancel each other out once the test was adjusted for the correct degrees of freedom.
In our understanding, McIntyre has raised two objections to the hockey - stick reconstruction; one was the statistical problem just mentioned, the other the selective selection of proxy data (the bristlecone question).
Does anyone know if these authors have avoided the statistical problems of Mann's reconstructions?
As for the tree - ring analysis, I'm learning more about this now — we're just at the beginning of a three - year NSF - funded project — but, so far, it seems like one of those statistical problems that's easy to state but hard to solve, involving a sort of multilevel modeling of splines that's never been done before.
The Problem Re-stated IPCC's Government Draft attempt to frame the discrepancy between models and observations as due to «natural variability» is ultimately a statistical problem — never a strong point of IPCC authors.
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