I have not included questions on the Historical Site as this will change with each year; however, I have created two interpretation questions on the Fire and Plague that
fit the model used by AQA.
The idea is that if
you fit a model using random numbers you can see how well they do at «explaining» the data.
Not exact matches
Using an algorithm complete with 3 - D human body
modeling, the company then makes a recommendation as to which of its mattresses is the best
fit.
«They have spent a lot of time and money creating a business
model that
fits within the rules so they can
use the visas to offer cheaper labor,» said Bruce Morrison, a lawyer representing an association of American engineers.
Since I abhor trying to
fit parchment properly into a loaf pan, I relied on my tried - and - true silicone
model (which I only ever
use for candy making).
This highlights the risk in creating specific land
use terms that may quickly become outdated as farmers innovate and develop new, regenerative
models that don't
fit neatly into the terms dictated by the scheme.
Individual growth curve
models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23
Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct
model for our individual growth curves, we compared a series of MIXED
models by evaluating the difference in deviance between nested
models.23 Both fixed quadratic and cubic MIXED
models fit our data well, but we selected the fixed quadratic MIXED
model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.
If you are looking to
use the RumbleSeat on a 2006, 2007, or 2008 VISTA
model, check out our Retro -
Fit Frame Program under our RumbleSeat product page.
They have a low vacuum valve designed to create free flow of liquid but unless your child is just learning to
use a sippy cup the flow may be to slow, so the drinking cup
model for older kids might be a better
fit.
Mattresses should be firm and should maintain their shape even when the
fitted sheet designated for that
model is
used, such that there are no gaps between the mattress and the side of the bassinet, playpen, portable crib, or play yard.
Because the other forces
use «force carrier particles» to impart the force onto other particles, for gravity to
fit the
model, all matter must emit gravitons, which physically embody gravity.
Nor does it include the possibility of larger individuals of the species; one of the leg bones
used in the team's
model had to be shrunk about 15 % to get it to
fit well with its neighboring bones from other creatures, which suggests that considerably larger and heftier S. giganteum existed.
The scans, which were accurate to a twentieth of a millimeter, were
used to generate virtual
models that could be examined from any angle, allowing for highly precise machining — and a very close
fit.
French
used numerical simulations to compute all components of the seismic waves, such as their scattering and diffraction, and tweaked the
model repeatedly to
fit recorded data
using a method similar to statistical regression.
They then tested for differences in
model fits using annual nest count data to see how the
model performed with respect to environmental factors.
The researchers developed algorithms to
use in a «systems biology
modeling cycle,» in which they repeatedly
fit a
model to gene expression data obtained from laboratory experiments until a good
fit was obtained between the predicted and the measured outcomes.
«Now we see that the theories
fit well with the experiment, so we can be confident in
using our theoretical
models to maximize these effects, either the «normal» effect or the inverse effect that we have demonstrated here,» Xiao said.
To understand how they work, we can take a look at nature itself: while natural elements acquire their physical properties from the atoms that form them and the way in which they are ordered, metamaterials
use natural means, like small metal fragments that
fit together like parts of a Meccano
model to artificially synthesise properties that are impossible to find otherwise.
To resolve the picture of the chemosensory array, Schulten and his colleagues
used molecular dynamic flexible
fitting, a computer
modeling approach Schulten's lab developed at Illinois.
The observations
fit well with computer simulations, and can be
used to refine
models of how large - scale patterns, such as the distributions of galaxies and clusters of galaxies, came to be.
Association rates (ka), dissociation rates (kd) and equilibrium dissociation constants (Kd) were calculated by aligning the curves to
fit a 1:1 binding
model using BIAevaluation 4.1 software.
«Our results highlight that we can
use ourselves as Mechanical Turks through «citizen science» to improve and refine
model fitting».
As mentioned in the previous section,
models that
use «cold dark matter» of «WIMPs» provide the best
fit to the observed structures.
Norma is
used to interpret electron microscopy data
using atomic scale resolution structural
models and perform flexible
fitting on new cases without encountering major technical difficulties.
Then, we generated proxies with this
fitted model,
using as predictors the SST time series where the components linearly related to the MEI, PDO and AMO were removed (by linear regression, as above).
She is working, for example, on a
model of liver function that
fits hundreds of samples of 3 - D liver tissue into the pits of a multiwell plate and
uses micropumps to circulate nutrients and oxygen through the system.
Making
use of mountain snow line data indicating larger temperature changes at altitude, Lindzen proposed a new kind of
model of the tropical response, which
fit the CLIMAP data and indicated very low sensitivity to CO2 increases in the future.
The most parsimonious geostatistical
model was
fitted with the seven covariates and then
used to predict podoconiosis prevalence for unsurveyed areas (Figure 2).
Only protein coding genes with a correlation > = 0.4 with the tissue ischemic time were
used in order to reduce the computational burden of
model fitting.
The
model was validated
using the Monte Carlo simulation based on the
fitted model and computing an empirical semi-variogram with the residuals, obtained by
fitting a standard logistic regression with simulated data and predictors (see Supplementary File 1).
As we expect this to vary geographically we
fit the above
models to the observed data for the Japan Total nesting series, separately
using lags from 20 — 40 years.
To do so, they
used existing data on cancers treated by either MTD or LDM and
modeled the competition between cells
using evolutionary game theory, a mathematical framework that
uses Charles Darwin's concept of «survival of the
fittest.»
To test for differences in growth rates between genotypes, we
fit the data
using linear
models regressing larval weight against age and tested for differences in the interaction term between larval age and genotype
using ANCOVA and post hoc comparisons of the slopes of
fitted lines
using lstrends (HH and lsmeans packages).
These include
using the same
model used to detect the planet instead to
fit synthetic, planet - free data (with realistic covariance properties, and time sampling identical to the real data), and checking whether the «planet» is still detected; comparing the strength of the planetary signal with similar Keplerian signals injected into the original observations; performing Bayesian
model comparisons between planet and no - planet
models; and checking how robust the planetary signal is to datapoints being removed from the observations.
We estimated historical and future nesting in each series
using the
fitted model relationships.
We
used Schoenfeld residuals to test the proportional hazards assumption and martingale residuals to assess
model fit.
For studies that reported incidence in each age category, we
fitted log - linear
model that contained incidence (dependent variable) and consumption (independent variable) with age as a covariate (median age in each age category), and we estimated the relative risk by
using an interaction term between age and consumption.
Rather, their analysis shows that if you compare the LGM land cooling with the
model land cooling, then the
model that
fits the land best has much higher GLOBAL climate sensitivity than you get for best
fit if you
use ocean data.
«the best
fit from the UVic
model used in the new paper has 3.5 ºC cooling, well outside this range (weighted average calculated from the online data, a slightly different number is stated in Nathan Urban's interview — not sure why)»
The Schneider et al. ensemble constrained by their selection of LGM data gives a global - mean cooling range during the LGM of 5.8 + / - 1.4 ºC (Schnieder Von Deimling et al, 2006), while the best
fit from the UVic
model used in the new paper has 3.5 ºC cooling, well outside this range (weighted average calculated from the online data, a slightly different number is stated in Nathan Urban's interview — not sure why).
However, as some participants favored other
models, parameter analysis was done
using data from single subject best
fit models.
Supplementary figure M shows examples of individual studies of coronary heart disease or stroke, plotting the observed (reported) relative risks with the ones we estimated
using the log - linear
model; the
fit was generally good.
As of DR6, PSF photometry
uses the same PSF
models (and sky background subtraction) for zeropoint -
fitting as is later
used in cataloging.
Table S4 Best
fit models for
using regional and global dust flux records to predict occurrence of EARS lakes from 350 Ka to 2.6 Ma.
To identify best
fit models relating paleoclimate to both the lake index and hominin evolution, we
used a the stepAIC function in R package MASS to select the best
fit model [38], see Figure 2.
We therefore conclude that results obtained by
fitting stellar
models or by
using population - synthesis
models constructed with solar values of \ alpha are likely to have large systematic errors.
Fitting a multilocus NFDS
model of post-vaccine population dynamics to three genomic datasets
using Approximate Bayesian Computation generated reproducible estimates of the influence of NFDS on pneumococcal evolution, the strength of which varied between loci.
Performing the SGD
model fitting takes about 20 seconds for datasets with several thousands of cells,
using the top 3,000 expressed genes.
Differential expression was determined by
fitting a linear
model to the normalised data
using Limma and B statistics were calculated
using empirical Bayes methods [38] with B statistics > 0 considered significant.
«This collaboration
fits in very well with our approach, which is to
use diverse animal
models to study the basic mechanisms of aging and tissue regeneration,» said assistant professor Aric Rogers, Ph.D. «The role of triggers in the cell's genetic machinery is a fruitful new avenue of research.