Either the model is perfectly constrained and thus the outcome certain before the operator hits the run button or under - constrained in which case the outcome is determined completely
by the parameter values guessed at by the programmer.
Not exact matches
The range of
parameter values consistent with Canadian data are in red; they are all much smaller than the 73 per cent rate obtained
by Diamond and Saez using U.S. data.
Kaleidoscope Career: Created dynamically on your own terms, not defined
by a company but
by your own
values, life choices, and
parameters.
(the
value of the hash
parameter is returned
by the hash function of the provided md5hash.py file).
Bitcoin (USA) is a
parameter that is formulated to represent the
value of the US market
by denominating it in bitcoin.
This means that the degree of consciousness attained
by living creatures (from the moment, naturally, when it becomes discernible) may be used as a
parameter to estimate the direction and speed of Evolution (that is to say, of the Cosmic Coiling) in terms of absolute
values.
This relates to the sensitive dependence of non-linear systems to the initial
values of its dynamical
parameters (often referred as the «butterfly effect,» a phrase coined
by the meteorologist E.N. Lorenz).7 In such a system, even the smallest change (or uncertainty) of initial
values of a non-linear or dynamically coupled system, show long - term divergence of its phase - map trajectories, leading to the formation of a basin of so - called «strange attractors.»
Assuming that the
values and
parameters for speed, radiation dose and risk stated above for Stuker are also true for you, dividing your total miles
by 3,700,000,000 will give your approximate odds of getting cancer from your flying time.
The one - dimensional Gaussian is completely described
by two
parameters: the mean, or average,
value of the data, and the variance, which is a measure of how quickly the data spreads out around the mean.
It then sweeps through a wide range of
values for the design's
parameters — the numbers that a CAD user would typically change
by hand — calculating the resulting geometries and storing them in a database.
The researchers included nine variables or
parameters in the simulations, and they varied each
parameter's
value by plus or minus 25 percent to see which were important to the risk of extinction.
The NPV model enables users to translate a machine learning - based predictive model's performance over time from traditional empirical measures into dollar
values by combining machine learning, data acquisition, operational costs, and investment
parameters.
By further improving the mirror
parameters this
value could be significantly improved,» Andreas Reiserer says.
Where climate sensitivity is estimated in studies involving comparing observations with
values simulated
by a forced climate model at varying
parameter settings (see Appendix 9.
But then Archibald multiplies the radiative forcing
by an absurdly low
value of the climate sensitivity
parameter.
You can even refine this further
by adding keywords and selecting
parameters from the lifestyle and background /
values section.
By contrast, in Le Week - End, director Roger Michell and writer Hanif Kureishi explore how far a life can stray from the
values and
parameters initially set out.
You will be helped in picking valid
values for those
parameters by dropdown selectors and / or auto - complete.
When one or other of those
parameters is less than a critical
value, Active Lane Assist intervenes
by apply a gentle steering correction
by means of the electric power steering fitted to the car.
When one or other of those
parameters is less than a critical
value, Lane Assist intervenes
by applying a gentle steering correction
by means of the electric power steering fitted to the car.
I am using the automatic reinvestment option offered
by my crowdfunding site, based on risk
parameters I set up when opening the account (loan - to -
value ratio, creditworthiness of borrower, location of property, kind of project, etc.).
Convergence of the Gibbs sampler was evaluated from multiple chains with different seeds
by plotting a
parameter value versus cycle number.
- Nintendo is including testing versions of Shifty Station in the updates - devs are currently testing new Salmon Run stages with internal names of Shakehouse and Threepoints - Grizzco brand weapons are in the works, including a Blaster, Charger, and Brella - what was known as the player's gender from the original Splatoon has now been replaced
by a
parameter called PlayerType - another
parameter called PlayerType shares the same
values as another
parameter, ModelType - the possible
values for these
parameters are SquidGirl, SquidBoy, and Oct. - there's an additonal
value named OctBoy - new weapon type called the Squeezer is in development
Parameters set
by this pre-established
value generate patterns of harmony and dissonance with all subsequent hues.
The spatial interpolation can be further elaborated
by taking into account geographical
parameters such as distance from the coast, altitude, latitude and longitude if the
values are sensitive to these
parameters.
For model hyper -
parameters, especially for those limited to positive
values, one can sometimes successfully use «uninformative» priors derived
by maximum entropy, for the hyper -
parameters are abstract and far from the likelihood.
b) Are
parameters adjusted
by comparing predicted and observed
values?
The «no feedback»
value is the one estimated
by Myhre et al. 1998b, based on GH theory, laboratory spectroscopic data and model simulations (feedback
parameter = 0).
Uncertainty in model response is investigated using a perturbed physics ensemble in which model
parameters are set to alternative
values considered plausible
by experts in the relevant parameterization schemes.»
The likelihoods are computed from the excess, delta.r2, of r2 over its minimum
value, minr2 (occurring where the model run
parameters provide the best fit to observations), divided
by m, the number of free model
parameters, here 3.
That's justified when their influence on the
values obtained for most interesting
parameters is affected significantly
by somewhat arbitrarily chosen other details of the approach, which can not misbehave badly for the interior period but may introduce much stronger spurious effects at the end where they are not bound
by data from future years.
by -1 = e ^ i pi Expected social welfare maximization is where you try to obtain the set of
parameters (such as climate change policies) that will maximize the expected
value of a social welfare function.
If to justify your
values you need to use a fourth order polynomial, as is shown on the trend you present, you have to show that there is a significant improvement in the correlation coefficient between the trend and the data
by using three additional fitting
parameters.
By simple inversion I mean that given by the standard rules of probability for converting PDFs between two parameters, being multiplication by the absolute value of the derivative of the old parameter with respect to the new one, or by 3.7 / S2 in this case, and renormalizatio
By simple inversion I mean that given
by the standard rules of probability for converting PDFs between two parameters, being multiplication by the absolute value of the derivative of the old parameter with respect to the new one, or by 3.7 / S2 in this case, and renormalizatio
by the standard rules of probability for converting PDFs between two
parameters, being multiplication
by the absolute value of the derivative of the old parameter with respect to the new one, or by 3.7 / S2 in this case, and renormalizatio
by the absolute
value of the derivative of the old
parameter with respect to the new one, or
by 3.7 / S2 in this case, and renormalizatio
by 3.7 / S2 in this case, and renormalization.
The paper incorporates data - driven estimates of the
value of fuel economy into an automotive market simulation model that has three components: a consumer demand function that predicts consumers» vehicle choices as functions of vehicle price, fuel price, and vehicle attributes (the new estimates of the
value of fuel economy are used to set the
parameters of the demand function); an engineering and economic evaluation of feasible fuel economy improvements
by 2010; and a game theoretic analysis of manufacturers» competitive interactions.
For any assumed distribution of
parameter values, a method of producing 5 — 95 % uncertainty ranges can be tested
by drawing a large number of samples of possible
parameter values from that distribution, and for each drawing a measurement at random according to the measurement uncertainty distribution and estimating a range for the
parameter.
By a one - sided x % range I mean the range from the lowest possible
value of the
parameter (here, zero) to the
value, y, at which the range is stated to contain x % of the posterior probability.
By contrast, a (frequentist) x % one - sided confidence interval with a limit of y can, if accurate, be thought of as one calculated to result in
values of y such that, upon indefinitely repeated random sampling from the uncertainty distributions involved, the true
parameter value will lie below y in x % of cases.
If the Earth's true emission temperature (which occurs somewhere at altitude in the troposphere) is less than the 255 K predicted
by theory (assuming an albedo 0.306), then the Planck
parameter may well be considerably less than the IPCC's
value, in which event on this ground alone climate sensitivity may be well below its central estimate of 3.26 K per CO2 doubling.
Experimental tests are good at fixing
parameter values within a theory, but
by themselves they are not powerful enough to lead to a rejection of a theory or complex model.
As described in Suzuki et al 2013, the
value of the
parameter that provides the best fit is not the one preferred
by comparing directly to cloud observations; the settings that result in larger aerosol forcing seem more justifiable at face
value.
There is also doubt about the
value of the Planck climate - sensitivity
parameter, which also can not be measured but is crucial because not only the original warming caused
by CO2 before feedbacks but also, separately, the feedbacks themselves are dependent upon it.
In most cases, these range from about 2 to 4.5 C per doubled CO2 within the context of our current climate — with a most likely
value between 2 and 3 C. On the other hand, chapter 9 describes attempts ranging far back into paleoclimatology to relate forcings to temperature change, sometimes directly (with all the attendant uncertainties), and more often
by adjusting model
parameters to determine the climate sensitivity ranges that allow the models to best simulate data from the past — e.g., the Last Glacial Maximum (LGM).
By comparing
values of these
parameters from the mid-19 century to now, they can estimate how much the earth warmed in association with human greenhouse gas emissions.
Some people may prefer to say that no - feedback climate sensitivity is estimated, I used calculated, as that fits well with the fact that it's a
value defined true some formulas rather than
by specifying a real physical
parameter to be estimated.
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
The model assumes that solar irradiance variations are caused
by surface magnetism and its single free
parameter is kept at the same
value for both cycles.
Records were multiplied
by − 1 if their
values decrease with increasing temperature (i.e., if their interpDirection
parameter is negative);
by +1 otherwise.
Where climate sensitivity is estimated in studies involving comparing observations with
values simulated
by a forced climate model at varying
parameter settings (see Appendix 9.
Since a stable distribution is given
by the
values of four
parameters it seems plausible that some stable distribution ought to give a decent fit to the rainfall histogram for a given location.