Sentences with phrase «error distributions in»

Have these ever been used as error distributions in the scientific literature?

That's just one example of how you get non-Gaussian error distribution in the data.

Not exact matches

The possibility for errors is noted briefly in the document but it adds: «Sampling in this phase [phase 1 training set] will be repeated until assumptions and distributions are met.»

While he has continued to work tirelessly, he has been prone to errors and seems to lack in ball distribution.

We therefore performed each simulation 2,000 times, drawing key parameters at random from triangular distributions covering the range of estimates available in the literature associating breastfeeding with maternal health outcomes, centered on the point estimate provided in the literature and a distribution width of four standard errors.

ACEP's contention that Ghana does not need the second KARPOWER barge, is is not only wrong in logic, we see it as a well calculated error committed by the energy think - tank to inject a message of hopelessness and apprehension among the Ghanaian populace, as far as electricity distribution is concerned.

I have said it some years back that as good as the APC is, the only fraught or error that can do it in, is its distribution of political offices.

There are several reasons for the variation, including whether courts take into account the measurement error inherent in IQ scores — the fact that an individual, tested repeatedly, would not achieve the same score every time, but rather a distribution of scores clustered around their «true» IQ.

Group 1: Materials, Resonators, & Resonator Circuits A. Fundamental Properties of Materials B. Micro - and Macro-Fabrication Technology for Resonators and Filters C. Theory, Design, and Performance of Resonators and Filters, including BAW, FBAR, MEMS, NEMS, SAW, and others D. Reconfigurable Frequency Control Circuits, e.g., Arrays, Channelizers Group 2: Oscillators, Synthesizers, Noise, & Circuit Techniques A. Oscillators — BAW, MEMS, and SAW B. Oscillators - Microwave to Optical C. Heterogeneously Integrated Miniature Oscillators, e.g., Single - Chip D. Synthesizers, Multi-Resonator Oscillators, and Other Circuitry E. Noise Phenomena and Aging F. Measurements and Specifications G. Timing Error in Digital Systems and Applications Group 3: Microwave Frequency Standards A. Microwave Atomic Frequency Standards B. Atomic Clocks for Space Applications C. Miniature and Chip Scale Atomic Clocks and other instrumentation D. Fundamental Physics, Fundamental Constants, & Other Applications Group 4: Sensors & Transducers A. Resonant Chemical Sensors B. Resonant Physical Sensors C. Vibratory and Atomic Gyroscopes & Magnetometers D. BAW, SAW, FBAR, and MEMS Sensors E. Transducers F. Sensor Instrumentation Group 5: Timekeeping, Time and Frequency Transfer, GNSS Applications A. TAI and Time Scales, Time and Frequency Transfer, and Algorithms B. Satellite Navigation (Galileo, GPS,...) C.Telecommunications Network Synchronization, RF Fiber Frequency Distribution D. All - optical fiber frequency transfer E. Optical free - space frequency transfer F. Frequency and Time Distribution and Calibration Services Group 6: Optical Frequency Standards and Applications A. Optical Ion and Neutral Atom Clocks B. Optical Frequency Combs and Frequency Measurements C. Ultrastable Laser Sources and Optical Frequency Distribution D. Ultrastable Optical to Microwave Conversion E. Fundamental Physics, Fundamental Constants, and Other Applications

Based on model experiments, it has been suggested that errors resulting from the highly inhomogeneous distribution of ocean observations in space and time (see Appendix 5.

Therefore, the high proportion of rare polymorphisms in our dataset likely reflects the true distribution of allele frequencies and can not be simply attributed to a higher Illumina sequencing or genotype calling error.

For the LTQ - Orbitrap Velos data, the distribution of mass deviation (from the theoretical masses) was first determined as having a standard deviation (σ) of 2.05 part per million (ppm), and a mass error of smaller than 3σ was used in combination with Xcorr and ΔCn to determine the filtering criteria that resulted in < 1 % false positive peptide identifications.

After studying this chapter, you will be able to: Define partnership and list its essential features Explain the meaning and list the contents of partnership deed Identify the provisions of the Indian Partnership Act 1932 that are relevant for accounting Prepare partners» capital accounts under fixed and fluctuating capital methods Explain the distribution profit or loss among the partners and prepare the Profit and Loss Appropriation Account Calculate interest on capital and drawing under various situations; Explain how guarantee for a minimum amount of profit affects the distribution of profits among the partners Make necessary adjustments to rectify the past errors in partners capital accounts Prepare final accounts of a partnership firm; Topic List Nature of Partnership Partnership Deed Special Aspects of Partnership Accounts Maintenance of Capital Accounts of Partners Distribution of Profit among Partners Guarantee of Profit to a Partner Past Adjustments Fidistribution profit or loss among the partners and prepare the Profit and Loss Appropriation Account Calculate interest on capital and drawing under various situations; Explain how guarantee for a minimum amount of profit affects the distribution of profits among the partners Make necessary adjustments to rectify the past errors in partners capital accounts Prepare final accounts of a partnership firm; Topic List Nature of Partnership Partnership Deed Special Aspects of Partnership Accounts Maintenance of Capital Accounts of Partners Distribution of Profit among Partners Guarantee of Profit to a Partner Past Adjustments Fidistribution of profits among the partners Make necessary adjustments to rectify the past errors in partners capital accounts Prepare final accounts of a partnership firm; Topic List Nature of Partnership Partnership Deed Special Aspects of Partnership Accounts Maintenance of Capital Accounts of Partners Distribution of Profit among Partners Guarantee of Profit to a Partner Past Adjustments FiDistribution of Profit among Partners Guarantee of Profit to a Partner Past Adjustments Final Accounts

The report also features new jargon like «tolerance» and «exceptionality» to characterize «how willing policymakers are to risk an error of over-inclusion» or «the cutoff in a teacher rank distribution that is used for decision - making.»

With each percentage point improvement in measured teacher quality, a faculty member is 0.037 percentile points higher in the h - index ranking (standard error of 0.108), implying a difference in the h - index distribution of only two percentile points between the 25th and 75th percentile teachers.

There can be different levels on which ROI is calculated including reduction in errors, time to effectiveness, reduced training cost, centralized distribution and monitoring of L&D activities, increased productivity, meeting corporate objectives, ability to perform new tasks, increase in role promotions and reduction in skill gap etc..

It would be a logical error to infer that leadership as it is distributed and practiced for one leadership scenario, such as leading a new reading initiative, would necessarily be similar to leadership distribution across other scenarios, such as changes made in the science curriculum.

I recommend using Sigil because it's a free program and because it allows you to create a clean, optimized file — I've had a lot of trouble with Calibre in the past, getting error messages and then not being able to upload to different distribution channels, and straight up Word doc conversions tend to be messy and end up not looking the way I want.

It is the Author's (or the Author's Representative) responsibility to report content errors, distribution errors, monitor retailer listings and availabilities and report any errors to Expert Subjects, LLC, in order to address these errors and correct them.

Even at a purchase price of $ 1 billion, or close to double the current market value of BKS, such a price would be a «rounding error» compared to the market value of a host of internet or media companies looking for a retail presence, with the added benefit being that Barnes & Noble is already in the same fundamental business, namely the distribution of information.

This structure typically reduces the cost and tracking error * associated with replicating an index and increases tax efficiency • Tax efficient: HTH is not expected to make taxable distributions • Hedged exposure: Get Canadian currency - hedged ** exposure to the US 7 - 10 year treasury market • Higher compound growth: The reinvestment of index distributions are reflected in HTH's Net Asset Value («NAV»)

An error fare is basically a mistake or glitch in the computer system of the airline or global distribution system causing a pricing error that can save you tons of money on flights!

Neither the Stedelijk Museum nor those who supplied the information involved are responsible for harm which may arise as a consequence of errors, problems caused by or inherent in the distribution of the information by Internet, or for technical failures.

The ``... uneven spatial distribution, many missing data points, and a large number of non-climatic biases varying in time and space» all contribute inaccuracies to to the global temperature record — as do errors in orbital decay corrections, limb - corrections, diurnal corrections, and hot - target corrections, all of which rely on measurements (+ - inherent errors), in the satellite temperature records.

For example, the optical thickness of the CO2 in the atmosphere (if you see an error in this list of things independent of climate, see below), the incident solar radiation and it's distribution over time and space (latitude), variations in surface albedo between ocean, rock, vegetation, etc.).

I think any mathematically - competent scientist who believes in objective inference from experimental results would accept that the IPCC replot of Forster / Gregory06 was wrong, in that it did not reflect the (standard) error distribution assumptions made by the paper's authors.

These errors were immediately obvious because the global distribution of sea surface temperature is well known from satellite monitoring, and the symptoms of erroneous coupled model behavior were readily expressed in that variable.

The errors are in the bayesupdatenew2.pro module (written by Forest or under his direction, not by Allen, I think) that computes the relevant likelihood function and combines it with a specified initial distribution (prior) using Bayes theorem.

(Though you can remove random errors that way... IFF they are truly random in distribution...)

Non-normal distribution for errors: in the simplest cases a generalised linear model might be applicable.»

Only in rare cases, when the underlying distribution of errors is known or can be reliably assumed, is there some basis for interpreting and comparing RMSE values.

«For the uncertainty analysis we assume, like Gregory et al. (2002), that errors in the observable parameters (N, Q, and ΔTs) all have Gaussian distributions.

When theoretical distributions are not available for this purpose, Monte Carlo experiments with randomly - created data containing no climatic information have been used to generate approximations of the true threshold values (Fritts, 1976; cf. MM05a; Huybers, 2005; Ammann and Wahl, in review — note that the latter two references correct errors in implementation and results in MM05a)(A&W, p. 45)

The PDF has been computed in the same way (apart from the reciprocal relationship) as the climate sensitivity PDF in Figure 2 in the original paper, using the same data and error distribution assumptions but with a larger number of random samples to improve accuracy.

As one would expect, due to errors in Q and F being dominant and being assumed to have a gaussian distribution, the PDF for the climate feedback parameter has an almost gaussian distribution.

The estimated prevalence of undernourishment (or % people at risk from hunger) is statistically non significant at values below 5 % — due to variation in inter-personal dietary - energy needs and measurement error in food availability and distribution.

In October 2007 a London High Court judge, aware of errors in the film, indicated that the Government's earlier distribution of the film to English schools had been an unlawful contravention of the 1996 Education Act prohibiting the political indoctrination of childreIn October 2007 a London High Court judge, aware of errors in the film, indicated that the Government's earlier distribution of the film to English schools had been an unlawful contravention of the 1996 Education Act prohibiting the political indoctrination of childrein the film, indicated that the Government's earlier distribution of the film to English schools had been an unlawful contravention of the 1996 Education Act prohibiting the political indoctrination of children.

The error is in mixing statistical properties of global (or wide area) temperature distributions with the statistical properties of those related to individual locations.

The quoted error is obtained from the standard deviation of the ensemble distribution in September.

Jeffreys» prior, which in effect converts length elements in 14C space to length elements in calendar age space, may convert single length elements in 14C space to multiple length elements in calendar age space when the same 14C age corresponds to multiple calendar ages, thus over-representing in the posterior distribution the affected parts of the 14C error distribution probability.

timothy If I understand your question correctly, they will be identical, since the [posterior] pdf for the 14C determined age is identical to its likelihood function (if one uses a uniform in 14C prior, which would be usual with a Gaussian error distribution).

Nullius in Verba: Suppose I make a measurement with a Gaussian error distribution, measurement mean = 500 and SD = 100.

lots of probabilities and error intervals were introduced in the past and now, WITHOUT any use of prior distributions.

In Figure 9, the measurement error distribution is symmetrically bimodal, reflecting the aliasing.

For example, contrasting the development improvements or setbacks from different model versions in relation to the distribution of structural errors in the CMIP multimodel ensemble can provide an objective assessment as to whether model performance changes are significant.

His 1924 article «On a distribution yielding the error functions of several well known statistics» presented Karl Pearson's chi - squared and Student's t in the same framework as the Gaussian distribution, and his own «analysis of variance» distribution z (more commonly used today in the form of the F distribution).

It informed them as to the distribution of the errors in Y but not the nature of the prior distribution of Y.

This error is highly consequential, since it involves the only instrumental evidence that is climate - model independent cited by the IPCC as to the probability distribution of climate sensitivity, and it substantially increases the apparent risk of high warming from increases in CO2 concentration.

It is possible to recast an OLS - regression, normal - error - distribution based study in Bayesian terms, but there is generally little point in doing so since the regression model and error distributions uniquely define the form of the prior distribution appropriate for a Bayesian interpretation.

since the uncertainties in radiative flux and forcing are proportionally much greater than those in temperature changes, their assumption that errors in these three variables are all D - distributed is approximately equivalent to assuming a uniform prior distribution in S..