Sentences with phrase «mean by correlation»

What do we mean by correlation here?

That's what I mean by correlation and causation.

Not exact matches

At its beginning, the outcome of the Cold War was by no means self - evident, given the «correlation of forces,» as Marxists used to say.

By «metaphysics in the strict sense,» one properly means metaphysica generalis, or ontology, although from the standpoint of a neoclassical theism there can be no adequate distinction between ontology, on the one hand, and theology and cosmology, as disciplines of metaphysica specialis, on the other.1 From this standpoint, ontology is also theology in the sense that its constitutive concept «reality as such» necessarily involves the distinction / correlation between the one necessarily existing individual and the many contingently existing individuals and events.

My continual commerce between the two seems to me to be an instance of what Tillich meant by the «method of correlation.»

The historian's detection of the kerygma at the centre of the Gospels found a formal analogy in the contemporary view of historiography as concerned with underlying meaning, and this correlation led to the view that the kind of quest of the historical Jesus envisaged by the nineteenth century not only can not succeed, but is hardly appropriate to the intention of the Gospels and the goal of modern historiography.

Funnel plots, the Egger (weighted regression) test, and the Begg and Mazumdar (rank correlation) tests for funnel plot asymmetry were conducted to examine the relation between sample size and observed mean differences in blood pressure by infant feeding group (21).

Of course, the fact that the countries in your examples share a lot of common history (e.g. they became democracies a relatively short time ago) and other social aspects means that the correlation that you observe could be caused by one or several hidden variables.

«This means that this correlation of melanin color to shape is an ancient invention, which we can use to easily tell color from fossils by simply looking at the melanosomes shape.»

Point estimates of population parameters (e.g., mean, correlation coefficient, slope) or comparative measures (e.g., mean difference, odds ratio, hazard ratio) should be accompanied by a measure of uncertainty such as a standard error or a confidence interval.

(A correlation of 1 means that by knowing the variable on the x-axis — in this case, the lifetime number of stem cell divisions — one can predict the y - axis value 100 % of the time.)

Even though p - tau showed the strongest correlation with cognitive decline, and amyloid - beta only a slight correlation, that doesn't mean that p - tau is committing the crime inside cells all by itself while amyloid loiters in spaces outside of cells in large gangs, creating a distraction.

In quantum theory, interactions among particles create fascinating correlations known as entanglement that can not be explained by any means known to the classical world.

There was little overall correlation, meaning that most of these language differences are unlikely to be affected by genetics.

By means of material - dependent measurements over a wide temperature range and with a varied thickness of the employed magnetic material, a direct correlation between the amplitude of the voltage signal and the intrinsic properties of magnons was identified.

The observed correlation peaks are evaluated by using Distorted Wave Born approximation, whereby mean island sizes ranging from 300nm to 1.5 µm and mean island separation of about 2µm could be determined for the various samples.

Probesets were centered by mean expression values, and hierarchical clustering was performed by complete linkage and uncentered correlation as the similarity metric using Cluster 3.0 program.

Correlation of differentially expressed transcripts was detected by hierarchical clustering of expression values with the Cluster version 2.11 software [52] applying mean centering and normalization of genes and arrays before the computational clustering analysis.

In a second step, the resulting clusters, represented by mean profiles, were clustered using average linkage hierarchical clustering with Pearson correlation distance measure, and visualized in a heatmap representation [52].

An influential 21 - week study by Ahtiainen J.P. et al. showed a correlation between T levels and the changes in isometric strength and muscle size, which means that both serum basal testosterone concentrations and training - induced acute testosterone responses are strongly associated with muscle and strength gains.

With p values < 0.05, this means five percent or one in twenty of them are false correlations that arose by chance.

by Bill Chambers There's a montage about a third of the way into Michael Cristofer's Gia that marries the peak of Gia Carangi's modelling career to Billy Idol's «Dancing with Myself,» and while I think Cristofer means to underscore Gia's loneliness, he's more successful in drawing a correlation between her bogus moxie (call it «cipherpunk») and, to crib from Robert Christgau, the «cartoonishness of [Idol's] sneering persona.»

The By All Means initiative is addressing the iron law correlation between socioeconomic status and education outcomes by partnering with visionary mayors and superintendents from Louisville, Kentucky; Oakland, California; Providence, Rhode Island; and Salem, Somerville, and Newton, MassachusettBy All Means initiative is addressing the iron law correlation between socioeconomic status and education outcomes by partnering with visionary mayors and superintendents from Louisville, Kentucky; Oakland, California; Providence, Rhode Island; and Salem, Somerville, and Newton, Massachusettby partnering with visionary mayors and superintendents from Louisville, Kentucky; Oakland, California; Providence, Rhode Island; and Salem, Somerville, and Newton, Massachusetts.

Both of these packages work great in assessing your data and helping you by saving a lot of time on determining such parameters as mean, standard deviation, regression, correlation, t - test, Student's test, etc..

Put another way, the hypothesis was that increased correlations were a systemic change caused by the rise of passive investing, rather than a cyclical change that was likely to mean revert.

Many mutual funds are sector specific, so owning a telecom or healthcare mutual fund means you are diversified within that industry, but because of the high correlation between movements in stocks prices within an industry, you are not diversified to the extent you could be by investing across various industries and sectors.

If there is no correlation between two assets, meaning that the performance of one can't be predicted by the performance of the other, assets are said to be non-correlated.

As many RTS, units» strength and weaknesses are dictated by a sort of rock - paper - scissor correlation, meaning that no unit is invincible but always has one or more units that if used correctly, will counter it with ease and move on to attack.

By dissecting traditional correlations of meaning and by opening up new contexts and orders, he found he could break the paradigms of the quotidian and explore the interaction between reality and perceptioBy dissecting traditional correlations of meaning and by opening up new contexts and orders, he found he could break the paradigms of the quotidian and explore the interaction between reality and perceptioby opening up new contexts and orders, he found he could break the paradigms of the quotidian and explore the interaction between reality and perception.

Taking a longer perspective, the 30 year mean trends aren't greatly affected by a single year (GISTEMP: 1978 - 2007 0.17 + / -0.04 ºC / dec; 1979 - 2008 0.16 + / -0.04 — OLS trends, annual data, 95 % CI, no correction for auto - correlation; identical for HadCRU); they are still solidly upwards.

Well stated by Mike Roddy but it needs to be pointed out that valid evidence always correlates well, but unfortunately high correlation does not necessarily mean valid evidence.

Basically there is no correlation of that cold patch with the flow over the sills; what we thus mean by AMOC change is the AMOC further south.

This is the extremely close correlation between the changes in the mean surface temperature and the small changes in the rotational velocity of the Earth in the past 150 years (see Fig. 2.2 of / / www.fao.org/DOCREP/005/Y2787E/y2787e03.htm), which has been ignored by the mainstream climatologists.

But correlation is not causation, I don't mean to say that NGOs fill the vacuum left by unions, but that they certainly do something for government.

Let us therefore compare satellite data (UAH6.0) with surface data (GISTEMP Land / Ocean) measured for the Southern Hemisphere (SH), from 1979 till 2015: You hopefully see like me a good correlation between the two, shown by both linear estimates and 60 month running means.

4) Are the optimal kernel widths determined by maximal correlation (with CR) or by dominant temporal modes of the mean & variance (of LOD»)?

By all means expect a correlation between CET and global temperature, but don't interpret warming observed in CET as global warming.

For example, Brown and Caldeira (2017) use fluctuations in Earth's top - of - the - atmosphere (TOA) energy budget and their correlation with the response of climate models to increases in GHG concentrations to infer that ECS lies between 3 and 4.2 K with 50 % probability, and most likely is 3.7 K. Assuming t statistics, this roughly corresponds to an ECS range that in IPCC parlance is considered likely (66 % probability) between 2.8 and 4.5 K. By contrast, Cox et al. (2018) use fluctuations of the global - mean temperature and their correlation with the response of climate models to increases in GHG concentrations to infer that ECS likely lies between 2.2 and 3.4 K, and most likely is 2.8 K.

This is based on the high correlation (r = 0.88) of the observed Global Mean Temperature Anomaly (GMTA) to be represented by cyclic global mean temperature pattern with an overall linear warming rate of 0.6 deg C per century as shown below:

Of the factors examined, CH4 emissions were best predicted by chlorophyll a concentrations (positive correlation, p < 0.001, R2 = 0.50, n = 31); CO2 emissions were best predicted by reported mean annual precipitation (positive correlation, p = 0.04, R2 = 0.11, n = 33); and N2O emissions were most strongly related to reservoir NO3 — concentrations (positive correlation, p < 0.001, R2 = 0.49, n = 18, table 3, supplemental figure S6).

I assume that what is meant by the «R2» statistic is the squared Pearson dot - moment correlation, or r2 (i.e., the square of the simple linear correlation coefficient between two time series) over the 1856 - 1901 «verification» interval for our reconstruction.

I know correlation does not mean causation, but it seems to me that by weighting the solar irradiance more strongly in the models, then much of the 19th to mid 20th century warming can be explained from the sun alone.

What this means is that OHC before 2003 is essentially unreliable; Knox and Douglass confirmed this by showing a correlation between OHC, Fohc, and OLR, Ftoa; before 2003, the correlation between Fohc and Ftoa was poor, after 2003 it is good.

«This means that over the long term there is indeed a correlation between CO2 and paleotemperature, as manifested by the atmospheric greenhouse effect.»

The absence of correlation for temperature decrease and CO2 decrease means that the process is not reversible as it would be, if associated to less radiation absorption by CO2.

Within the paleoclimate context, where the expectation is that each proxy is weakly correlated to the northern hemisphere mean (for two reasons: proxies generally have a weak correlation with local climate, which in turn is weakly correlated with a hemispheric average) the LASSO as used by MW2010 is simply not an appropriate tool.

«Synchronization as measured by the root - mean - square correlation coefficient between all pairs of modes over a 7 - year running window.

Temporal trends will exist in those temporal series, meaning their spatial correlation calculations are impacted by temporal trends.

Knutti et al. (2010a) investigated the behaviour of the state - of - the - art climate model ensemble created by the World Climate Research Programme's Coupled Model Intercomparison Project Phase 3 (CMIP3, Meehl et al. 2007), and found that the truth centred paradigm is incompatible with the CMIP3 ensemble: the ensemble mean does not converge to observations as the number of ensemble members increases, and the pairwise correlation of model errors (the differences between model and observation) between two ensemble members does not average to zero (Knutti et al. 2010a; Annan and Hargreaves 2010; hereafter AH10).

Summary of how they got to this finding: They use CMIP models which, if not outright flawed, have not proved their validity in estimated temperature levels in the 2030 to 2070 timeframe, are used as the basis for extrapolations that assert the creation of more and more 3 - sigma «extreme events» of hot weather; this is despite the statistical contradiction and weak support for predicting significant increases in outlier events based on mean increases; then, based on statistical correlations between mortality and extreme heat events (ie heat waves), temperature warming trends are conjured into an enlargement of the risks from heat events; risks increase significantly only by ignoring obvious adjustments and mitigations any reasonable community or person would make to adapt to warmer weather.