Sentences with phrase «in quadrature»

Combining in quadrature suggests a 2 - sigma uncertainty of + -4.4 C for the LGM uncertainty, which doesn't seem ridiculous for a reconstruction based only on SST proxies — bigger than the AR5 estimate of + -2.5 C, but that estimate is based on much more data.
However, the matching of their characteristics as set out in the main text, points a) to c), and the fact that some fluctuations will be reflected in OHU, suggests a reduction from the 0.11 °C error standard deviation implied by adding two 0.08 °C standard deviations in quadrature, say increasing halfway, to 0.095 °C.
While the error in aggregate would not be as large as the error for any given individual station, I do not know why uncertainties in TOBs adjustments are not rolled into overall series uncertainties (though, being independent from other sources of uncertainty, they would be added in quadrature).
So, again checking the trends, taking the difference and adding uncertainties in quadrature we get:
curryja, you need to bear in mind that the uncertainties tend to add in quadrature so a new source of uncertainty would need to be quite hefty — relatively speaking — to show a noticeable increase on what's already there.
It also appears that they assumed the subset of real error that they did use to be additive: ``... uncertainty is determined by adding in quadrature each of the uncertainties listed above...».
The final uncertainty is estimated by «determined by adding in quadrature» some other numbers.
The basic point is that when adding two uncertain numbers, the errors add in quadrature i.e.
When comparing two means, each with an associated uncertainty, the distribution of the means has a width given by adding the individual widths in quadrature.

Not exact matches

«Our primary interest is in extending the approach to work with more complex signals such as quadrature PSK», which can encode more data in the phase, says Richardson.
bBy quadrature using ± 0.75 (i.e., half the 90 % confidence interval range) for the uncertainty in item 2.
The period is determined by a Jupiter - Saturn - Uranus quadrature series, which returns in four steps of 69 yrs, and a single ~ 41.6 yr step to resolve at the regular synodic 3 body return of 317.67 yrs that Desmond King - Hele noted and studied.
The effect of each quadrature can be confirmed by NAO status and CET temperatures in the few years around each event, including the remarkably warm 1686 in the middle of the Maunder Minimum.
So the only thing that is repeating after 60.9 years is whether J and S are in conjunction / opposition, or quadrature (left or right), or any other particular angle modulo 180 degrees.
General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series
In particular, on the issue of only using a few stations and arriving at the same conclusion, «the Gaussian quadrature often requires noticeably less work for superior accuracy.»
True in the sense that even though the average temperature reconstruction «makes sense» there is zero formal error estimation of either the interpolation error of the global surface temperature reconstruction, or the quadrature thereof and hence the uncertainty in the temperature record is completely unknown (save maybe sound extreme bounds that one could probably work out on a napkin).
In further proof of the value of the author's proposed contribution to education, and offered as a gift to the State of Indiana, is the fact of his solutions of the trisection of the angle, duplication of the cube and quadrature having been already accepted as contributions to science by the American Mathematical Monthly, the leading exponent of mathematical thought in this countrIn further proof of the value of the author's proposed contribution to education, and offered as a gift to the State of Indiana, is the fact of his solutions of the trisection of the angle, duplication of the cube and quadrature having been already accepted as contributions to science by the American Mathematical Monthly, the leading exponent of mathematical thought in this countrin this country.
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