Sentences with phrase «robust correlation of»

So it would surprise the heck out of me to see a statistically robust correlation of CO2 to global temperature.

Not exact matches

«The econometric exercise is robust, though it accounts more for correlations than real causal phenomena,» Nicolas Carayol, a professor of economics at the University of Bordeaux in France, writes in an e-mail to Science Careers.

Although self - reported data are inherently variable, making the diastolic - odor correlation less robust, «I was impressed by the strength of the relationship,» Wing says.

Caldwell regarded a proposed emergent constraint as not credible if it lacks an identifiable physical mechanism; is not robust to change of model ensemble; or if its correlation with ECS is not due to its proposed physical mechanism.

The robust quantification of over 9,000 proteins and 11,000 phosphopeptides on average enabled the de novo construction of a functional protein correlation network, which ultimately exposed the collateral effects of mutations on protein complexes.

Huber — White robust SEs were computed with subject as the cluster variable to account for within - patient correlations of measurements and clustering for patients.

To evaluate associations of sex hormones with % DBV, ADBV, and ANDBV, we used multiple linear mixed - effects models (51) with robust SEs; the clinic was included as a random intercept to account for the potential correlation among participants from the same clinic.

Mike Mish points out that the correlation between the US money supply and the price of gold is not very robust.

That correlation is «less robust» for feline calicivirus (FCV) and feline herpes virus 1 (FHV - 1) than for FPV, and «a negative test result for FCV or FHV - 1 antibody would not necessarily indicate lack of protection in a particular cat.»

This kind of attribution is not based on single - factor correlations and is even robust to errors of magnitude in the calculated responses.

The extent of this instability is described and a resampling procedure is demonstrated for a robust estimation of the statistical significance of correlation under these conditions.

These proxy measurements are independently verified and statistically validated by robust methods of comparison with instrumental data and should have a sound physical reason as to why they change with aforementioned climate parameter (correlation does not imply causation); only then are proxy reconstructions and their inherent quantitative and qualitative implications accepted by the community.

While there are a few quant funds (Renaissance being most prominent) that evidently make a very good living exploiting minor price efficiencies, correlations etc, on balance the weak - form EMH has proved rather robust and is widely accepted as a reasonable approximation of reality.

This curve is statistically speaking a «random walk», with no robust statistical correlation with atmospheric CO2, which has seen no cycles but has increased at a fairly constant CAGR of around 0.4 % per year since measurements started at Mauna Loa in 1958 and at an estimated somewhat slower rate before this, based on ice core data.

Such concerns, however, are tangential to the global mean temperature signature of oceanic natural variability, which is robust and independent of spatial correlations that might obscure the identification of the precise geographical source of such variability.

Caldwell regarded a proposed emergent constraint as not credible if it lacks an identifiable physical mechanism; is not robust to change of model ensemble; or if its correlation with ECS is not due to its proposed physical mechanism.

The Application of Size - Robust Trend Statistics to Global - Warming Temperature Series Thomas B. Fomby and Timothy J. Vogelsang Journal of Climate 2002; 15: 117 - 123 http://journals.ametsoc.org/doi/abs/10.1175/1520-0442%282002%29015%3C0117%3ATAOSRT%3E2.0.CO%3B2... recent studies have pointed out that strong serial correlation (or a unit root) in global temperature data could, in theory, generate spurious evidence of a significant positive trend... A serial - correlation — robust trend test recently was proposed that controls for the possibility of spurious evidence due to strong serial correlatiRobust Trend Statistics to Global - Warming Temperature Series Thomas B. Fomby and Timothy J. Vogelsang Journal of Climate 2002; 15: 117 - 123 http://journals.ametsoc.org/doi/abs/10.1175/1520-0442%282002%29015%3C0117%3ATAOSRT%3E2.0.CO%3B2... recent studies have pointed out that strong serial correlation (or a unit root) in global temperature data could, in theory, generate spurious evidence of a significant positive trend... A serial - correlation — robust trend test recently was proposed that controls for the possibility of spurious evidence due to strong serial correlatirobust trend test recently was proposed that controls for the possibility of spurious evidence due to strong serial correlation....

However, the lack of an apparent robust statistical correlation linking observed temperature to observed atmospheric CO2 makes the case for CO2 causation for the observed warming weak, and the case for AGW as a potential threat even weaker.

VS has shown that the correlation between empirically observed atmospheric CO2 and «globally and annually averaged land and sea surface temperature» is not statistically robust, and that the postulation of causation is thereby invalidated.

What is lacking are a) a statistically robust correlation between atmospheric CO2 and global temperature (original topic of this thread) and b) empirical data based on physical observations to support the AGW premise.

«A robust statistical correlation with atmospheric CO2» is not the holy grail of AGW.

In simple terms, this tells me that the presence of a unit root rules out a deterministic trend and that the correlation between GHG and temperature is, therefore, not statistically robust, thereby raising serious questions regarding the case for causation.

Here, we review recent work that has demonstrated a robust cross-national correlation between the relative frequency of variants in these genes and the relative degree of individualism — collectivism in each population, suggesting that collectivism may have developed and persisted in populations with a high proportion of putative social sensitivity alleles because it was more compatible with such groups.

Moreover, GLMM is robust to unequal group sizes, can deal with unequally spaced data collection points, does not require equal variances at each time point or equal covariances between all pairs of time points, and is able to account for correlations among repeated measurements.