Sentences with phrase «error over the mean»

The mean FPKM expression values are shown for all the VR and formyl peptide receptors (FPR) genes in the OM; error bars represent the standard error over the mean from the six biological replicates.

The mean FPKM expression values are shown for all the OR genes and trace amine - associated receptor (TAAR) genes in the VNO; error bars represent the standard error over the mean from the six biological replicates.

Not exact matches

Email and social media means that messages once conveyed in person or over the phone are now relayed in text, «which leaves so much room for error.»

One diplomat said the IAEA allows for a margin of error of 1 percentage point in such measurements, which means that Iran wasn't technically over the limit.

To think in an agony of remorse of all one has done wrong, whether with sinful intention or errors of judgment, and to be inwardly upset over the good works one meant to get done and failed to do, is a poor frame of mind in which to try to go to sleep.

I approach the Bible in all three connections as the communication of doctrine from God; as the instrument of Jesus Christ's personal authority over Christians (which is part of what I mean in calling it canonical; as the criterion of truth and error regarding God and godliness; as wisdom for the ordering of life and food for spiritual growth; and, thus, as the mystery - that is, the transcendent supernatural reahty - whereby encounter and fellowship with the Father and the Son become realities of experience.

Over the years, learning through trial and error has helped me to understand what makes a recipe simple to put together — and that simple doesn't always mean quick!

KRISTINA CHAMBERLAIN: Someone can a apply medication especially if that would be the last resort I mean the other thing is you have a little bit of control over with trial and error you know you try something, you see how it's working, if it's not doing what you wanted to do you stop or you know your body doesn't take too much of a ding from it but if you're doing medications then it takes longer for you to rebuild it.

The changes we've seen over the last couple of months have been within the margin of error, meaning that changes can be explained away by statistical chance rather than true shifts in sentiment.

Quinn's two percentage point margin over Weiner is well within the survey's sampling error, meaning the race can be considered a dead heat.

Or, if the other person is about to make an error, they can quickly step in and fix it («No, I meant that book, over there «-RRB-.

Slight error will be introduced into the estimation because the Knox et al. figure applies to the mean intake over the first 14 days while the Aburto and Britton study lasted for 16 days.

I'm super happy I didn't get an error, but that meant I had to comb through over 1,700 lines of code to find the mistake (s)!

I have not, by any means, mastered the art of layering, but I've definitely improved my layering skills over the years thru trial and error and inspiration from others.

Errors sometimes mean wiping and starting all over again.

It gave me a place to start - and yet it still took me over 6 hours - yes, HOURS - to figure it out because ADE kept giving me an error message, which I EVENTUALLY dug to decode as meaning my computer's TIME ZONE was set incorrectly.

Poor decisions or over / under striking the ball will mean error - prone outcomes.

The game is formulated with a trial and error design, meaning you're going to die a lot and start over again.

Features that once drew their meaning by seemingly not being his, now seem to be almost compulsive traits: we imagine Polke still obsessing over minute printing errors, over the aleatory stretched effects made by moving an image while it is being photocopied, over the bacterial and toxic - looking residues brought about by mixing resins and paints with foreign substances.

He does not, however, address the size and bias of the approximation errors with respect to a small change (1 % or less of mean temp in Kelvin) resulting on Earth from a small change in forcing (doubling of CO2 concentration), over a long but finite time (140 years or so for the concentration of CO2 to double from what it is now.)

Mark, by «VERY GOOD» do you mean the reliability, variances and error bars of measuring average global mean temperatures and CO2 mixing ratios over the past 150 years is about as good as measuring your height over the past 30 years?

[Response: True, but as long as the errors themselves are iid, then you are still testing for a signal if you have many parallel series (the noise cancels in a similar way to taking the mean over many measurements).

Instead, the tendency has been to just look at static mean geographic patterns of things, which has been shown over and over again not to have much predictive value, with a couple of exceptions (e.g. see a nice 2010 paper by Trenberth and Fasullo [summary here] that relates one chronic model mean cloud error to climate sensitivity).

If you would like your modeling result to be taken seriously as a guide to future planning (I don't mean to presume to know your motives), then keep track of the squared prediction error, the sum of the squared prediction errors (CUSUM), and the square root of the mean prediction error (RMSE) over the next 20 years.

The advantage of error reduction that comes from multiple sampling begins to degrade when the «single» quantity being measured produces a set of random errors that has a Gaussian distribution about the mean that is significantly broadened by regional or spatial variations of the mean over the sample space.

Willmott, C. J., and K. Matsuura (2005), Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Clim.

Even extending to pre-Argo periods, with a long period the errors in ocean heat content values have to be very large to have a major effect on the mean rate of heat uptake over the period.

That works fine if the errors behave like measurement errors, because measurement errors are independent - if you average them over the globe they tend to cancel out, and the global mean thus has a lower uncertainty than an individual measurement.

A Bayesian approach would mean that instead of silly «burden of proof» arguments over Type I vs. Type II errors, we could be talking about measuring the size of the effect.

Meaning, it should only be valued for its 11,000 ybp — 1500ybp (ish) reconstruction (with its error bars) THEN something like Mann et al (2008) takes over with some overlap at the beginning through to 1950 THEN the instrumental record, with overlap at 1850... Stitching together the reconstruction from the beginning of the Hollocene through to the present using different methods and error bars with each... and each standing or falling with respect to their primary era of focus.

Recall the definition of RE (courtesy of the NRC): where is the mean squared error of using the sample average temperature over the calibration period (a constant,) to predict temperatures during the period of interest» Note that you can get a high RE2 by overfitting.

Note the implicit swindle in this graph — by forming a mean and standard deviation over model projections and then using the mean as a «most likely» projection and the variance as representative of the range of the error, one is treating the differences between the models as if they are uncorrelated random variates causing > deviation around a true mean!.

Yes, but Wallace didn't publish the error bars of the GEpH data... If you are looking for a trend of -0.1 pH unit over a period of 100 years and your instrument is accurate to 0.1 pH unit and ocean pH can vary 0.5 pH unit (and more) at different parts of the oceans and in different seasons, any such compilation of pH data taken at different places and seasons has no meaning at all.

Note from reference [1] that the thermal expansion coefficient at low pressures can range to over 3 times the assumed value (itself 4 times the lowest given value), which means that differences in partitioning ocean heat alone could introduce as much as half an order of magnitude error.

where is the mean squared error of using the sample average over the period of interest as a predictor of temperatures during the period of interest:

So, over the years through a bit of trial and error I now know what «enough» and «until it looks right» means, and so do my children.

This will happen if the mistake is over something minor, but bigger errors mean it's more likely that the claim could be denied or reduced.

When I say over years — I mean more than two years of trial and error.

- one month of random home value fluctuations is going to be more than $ 500, meaning it is within the margin of error where random chance means far more than what is being negotiated over, meaning it is statistically equal to zero dollars.