Sentences with phrase «statistical outlier»

Four couples dropped out of therapy and therefore did not complete the post EFT scan, two couples were dropped for missing data, and one other was dropped whose overall threat - related brain activation in a variety of regions was an extreme a statistical outlier (e.g., greater than three standard deviations below the average of the rest of the sample).

There was a small advantage to cognitive therapy until one of the original 10 studies was excluded as a statistical outlier.

With the exception of 2015 (a statistical outlier in which auto accidents went up, due in large part to texting and driving), NTSB charts a sharp decline in overall auto accidents in the U.S. over the last decade.

If no error in capturing the data, what possible real life situation would cause what appears as a significant statistical outlier.

Gavin's refusal to admit the extreme LU efficacy comes down to accepting one very dubious run, a run which is a clear statistical outlier, goes to the heart of the problem with Marvel et al: the authors got results they «liked» (lower efficacy for many forcings implies higher climate sensitivity... casting doubt on lower empirical estimates), and so failed to critically examine if their results might have errors.

No, it relegates outliers to a statistical position commensurate with that statistical outlier position.

STARTING your «visual inspection» in 1998 is starting at a statistical outlier or near outlier (depending on the particular series used).

A counterintuitive feature of all this: if there's no trend, that makes the record still more of a statistical outlier, yet it must be due to natural variability since there's nothing else left to which to attribute it.

@AndrewLeach you're a statistical outlier.

I remember Bill Barnwell referring to it as one of the greatest statistical outliers ever (or something to that effect).

But you can't credibly point to what are functionally statistical outliers and treat them as evidence of anything but a possibility.

They wouldn't even make statistical outliers.

We expect that extreme values of slopes estimated for different factors or strategies are statistical outliers.

nice post illustrating the effect of statistical outliers immediately after they've happened, thanks.

The statistical analysis to be robust is important to ensure that the result is not being biased by some statistical outliers (e.g., by a strong El Nino in a single year).

I believe the concept of the dragon king is just recognition that statistical outliers should be expected among any natural set of data.

Distorted self - perceptions: Divergent self - reports as statistical outliers in the multimethod assessment of children's social — emotional adjustment

Not exact matches

However, from a statistical analysis point it is an «outlier» we can ignore!

There is also some statistical smoothing which has the effect that outliers or vote shares that diverge most from the general consensus are allocated less weight.

Muller says his team included the raw data in its analysis and then applied standard statistical techniques to remove outliers.

The original analysis appears to have excluded the outliers in the statistical test they used.

Statisticians define an outlier as an observation point that is distant from other observations in a statistical analysis.

But Harvey, Liu, and Zhu (2014) rightly observed that if many researchers are looking for statistical irregularities, then the 1.96 criterion is too low; it allows many inherently random outliers to be misidentified as valid factors.

The average return from the full sample, including the unadjusted outliers, is the best estimate available as long as the statistical bounds around it are borne in mind.

All statistical assumptions regarding linearity, homoscedastic, normality of the residuals, independence of the error terms, and the lack of residual outliers were met.

As Lewandowsky et al write: «The use of a single «cherry - picked» outlying year to establish the presence of a «pause»... does not conform to conventional statistical practice and is testament to the degree to which the climate mainstream has embraced the «pause» meme for extra-scientific reasons.»

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.

Preliminary analyses using statistical analysis system (SAS Institute, Cary, NC) were carried out to detect any missing values or outliers with large influences on the regression lines.