Sentences with phrase «estimation errors»

Despite the dual - camera setup, the Gionee's results in bokeh mode are poor, with very noticeable artifacts and depth estimation errors.

Since the trend diverges a bit from the data in earlier years and the «system» was possibly a little different then (e.g. higher estimation errors), I'm going to model just a recent noise sample — since 1970.

Human emissions currently at 8 GtC / year + / - 20 % or + / - 1.6 GtC (the estimation errors are less than that, but here we give you some advantage).

The volumes produced are less than the estimation errors in natural flows, and it is know that individual CO2 molecules do not survive longer than 8 - 10 years in the atmosphere.

Graham's margin of safety, the difference between a stock's price and its intrinsic value, provides you cushion against estimation errors.

A similar portfolio, designed to tolerate human factors and estimation errors, has a 4.13 % 30 - Year Safe Withdrawal Rate at today's valuations.

The proposed scheme uses the channel estimation matrix for detection and treats the interference caused by channel estimation errors and additive white Gaussian noise as equivalent noise where the channel estimation matrix and the statistical characteristic of channel estimation errors are necessitated.

They chose principal component analysis (PCA) to overcome the estimation errors inherent in sample covariance matrices.

Five - Year Forecasts We summarize the valuation ratios, historical returns, historical returns net of valuation changes, and expected returns along with estimation errors for the most popular factors and strategies in Table 2.

In addition to applying advanced statistical techniques, 7 asset managers and index providers often mitigate estimation errors — and address other minimum - variance implementation issues — by imposing constraints on the optimization process.

These differences are also almost impossible to estimate with any reliability, as estimation errors will often be larger than the differences researchers are trying to estimate.

The estimates hewed very close to the null distribution, suggesting that little but estimation error was present.

It's hard for almost everyone, even trained researchers, to appreciate how much the apparent differences between programs are due to random estimation error.

To highlight the role of random error, we calculated the «null distribution,» or what the distribution of program rankings would look like if all the programs were actually identical and nothing but random estimation error were present.

We have only imperfect measures of teachers» effectiveness and, with one year of data, the variance in the estimation error can be as large as the variance in underlying teacher effects.

I wouldn't necessarily read too much into the AE - derived October number being 2.4 % lower than the Amazon - derived one for September: it could just as easily be estimation error — for example, as mentioned earlier, our estimated US share of the overall global Kindle pot, at 77.5 %, could have actually been high by 2.5 %... or, for that matter, low by 2.5 %.

Was each estimate of the power of the value effect subject to its own estimation error, overlooked by much of the quant community at their peril?

Model parameters were estimated using a finite amount of data and are therefore subject to estimation error.

The other term is the variance of the estimation error in the regression parameters, and this varies in magnitude depending on the values of the proxies and also the degree of autocorrelation in the errors.

Not exact matches

Of course, better technology may increase the accuracy of predictions but serious errors in estimation of availability of reserves have been known to happen.

Errors of estimation, usually innocent but sometimes not, can be huge.

Calculation to determine the necessary number of resident participants used estimations of knowledge from previous studies of pediatric residents, which suggested a baseline knowledge about breastfeeding of 60 percentage points.8, 9,15 To detect an improvement in knowledge score of 20 percentage points with an estimated standard deviation of 20 points, a 2 - tailed α error of 0.05 and a power of 0.80, sample size was calculated at a minimum of 16 resident participants.

Ignoring the stratified sampling does not affect point estimates and may have resulted in slightly overestimated standard errors.14 Robust variance estimation was used to allow for the clustered nature of the data within units and trusts.

This process made even more difficult, in Adonis's estimation, by the number of people who had basically given up: David Blunkett, John Reid, even Blair, who argued that it was a «serious error» to keep fighting.

The scientists responsible for this work consider that the location estimations obtained with this system will contain minimum errors provided that the receiver has sufficiently accurate and up - to - date environmental information.

B. Techniques, Error Estimation and Measurement Systems (including references)

Typically the JP is only uniform where the estimation is of a simple location parameter, with the measured variable being the parameter (or a linear function thereof) plus an error whose distribution is independent of the parameter.

DF - analyses of heritability with double - entry twin data: asymptotic standard errors and efficient estimation

On top of that, rarely do these people accurately know their body fat percentages (other than very optimistic guesses) and even when measurements are taken almost all body fat estimation techniques (including skin-folds, BIA, etc) are subject to up to 4 % error.

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.

The 13 questions in this paper comprise the following topics: Line and Angles Special Number Estimation Algebra Shape and Construction Data presentation Fraction Decimal and Percentages Ratio and Proportion Revised version, there was typing error in the previous version.

The errors that we make in estimation will often be larger than the differences we are trying to estimate.

Attention to test scores in the value - added estimation raises issues of the narrowness of the tests, of the limited numbers of teachers in tested subjects and grades, of the accuracy of linking teachers and students, and of the measurement errors in the achievement tests.

For the exam board marks we have used the Ofqual error estimations.

The critical error in my estimation (so far)?

All volatility, beta, and tracking error expectations are based upon an exponential decay - weighted estimation of recent volatility, beta, and tracking error and are not a guarantee of future volatility, beta, or tracking error.

This just means that you buy at a big enough discount to allow some room for error in your estimation of value.

If you've ever taken a statistics or econometrics course, you might recognize the calculation and application of the left - inverse as the ordinary least squares (OLS) estimation of the weights; that means that in this case, «closest» implies that the weights we found minimize the sum of the squares of the differences («errors» or «residuals») between our replicated portfolio and VTSMX.

How do we know that it was the anthropogenics (commonly referred to as CO2 & the subject of the political Kyoto decision) that resulted in the closer estimation and not some competing / compensating errors in the natural model that do not show up until the 1970 - 2000 etc temp rises?

If one parameter is off, then the error here will propagate to affect the estimation of a neighboring parameter, and so on.

Even worse: to numbers with error estimates, it adds a number without proper error estimate (the observational uncertainty for 1993 - 2003 is included, but who would claim this is an error estimation for future ice flow changes?).

For background behind the flattening - MRES process, glance at estimation theory and take a slightly longer look at least squares (minimizing the sum of the squared errors — related article at Minimum mean squared error — minimizing sum - of - squares and mean squared error are the same thing, and essentially the same thing as minimizing variance and standard deviation).

And if you judge MRES by other criteria than variance or standard deviation, e.g. getting an interesting shape, then you are still within the realm of estimation theory (you're estimating the parameters that give you your interesting shape) but no longer in that of minimum mean squared error.

Though error estimation was not not done (more accurately, not reported or discussed) in the BEST study, kriging by its nature does a lot of error estimation.

For the estimation of the total ocean heat content (OHC) a lesser precision would probably be almost as good, because errors of individual measurements always cancel to a large extent as long as the floats do not have common systematic errors.

The statistical assessment of errors in model prediction and model estimation is of fundamental importance.

Second, thesis figure C7 graphed each proxy series individually using the mean and 2 sigma error band from its Monte Carlo statistical error estimation technique.

Roache deals with CFD and with the science of error estimation / propagation that is 100 years old.

Techniques of Error Estimation.

There is neither convergence nor error estimation.