They analyze systems
by modeling the variables that dictate how they will behave.
Not exact matches
We seek to invest in companies with stable earnings with a long - term business
model and management team that we have a high level of comfort in.We seek to invest in solid companies run
by strong managementteams that can navigate
variable market conditions.
By modifying the numbers related to each of the
variables described above, the
model highlights the dynamics required to accelerate gender diversity in the boardroom.
By focusing on collecting all the data to build a more realistic
model, the investor risks overlooking those key
variables.
In addition to «flat - fee - only» and «fee - offset»
models, the SunAmerica Advisory Opinion provides that asset allocation services offered to participants (involving advice and even discretionary management) that are the product of a computer
model developed and overseen
by an independent financial expert, and subject to certain additional conditions, would allow a service provider (the broker - dealer, in this case) to avoid PTs when receiving
variable / indirect compensation from its platform of investment offerings.
How businesses price and execute business
models, whether they be fixed pricing or
variable pricing based, are being drastically affected
by changes in social buying behaviors, social technologies, and social ecosystems.
Every discipline develops its own symbolic language in terms of which it replaces the total complex situation
by a
model that represents those
variables in which it is interested.
The
model presented
by Comstock and his associates highlights the multitude of
variables that tend to quality this effectiveness: salience of the acts presented, the viewer's repertoire, the viewer's state of arousal at the time, the past and perceived future consequences of the behavior, the perceived reality of the behavior, and the opportunities present for its performance.
Associations between selected CVD risk factors and Coconut Fat (CF) intake were investigated
by Dr. Goonerante using Chi - square test, and further examined in a multivariate
model adjusting for potential confounding
variables.
Tests for trend were performed
by including the breastfeeding categories as continuous
variables in the regression
models.
We then
modeled infant weight as a function of proportions of milk feedings given as breastmilk or
by bottle with both terms entered simultaneously into the
model as continuous
variables.
Variables were retained in the reduced logistic regression
model when their presence was determined to confound the association between human milk feeding and infection or sepsis / meningitis, as defined
by a change of > 5 % in the regression coefficient for type of feeding when the
variable was removed from the full regression
model.
women allocated to midwife - led continuity
models of care were more likely to be attended at birth
by a known midwife (RR 7.04, 95 % CI 4.48 to 11.08; participants = 6917; studies = seven); however, the effect estimates for individual studies are highly
variable, as reflected in substantial statistical heterogeneity (Tau ² = 0.31; I ² = 94 %; Analysis 1.15).
Mr Clarke, for his part, claims that rehabilitation depends on marshalling a piecemeal system with
variable outcomes into a payment -
by - results
model that has attracted the interest of President Obama.
In Bohm's
model, the quantum weirdness that had so captivated Bohr, Heisenberg, and the rest — and that had so upset young Bell, when parroted
by his teachers — arose because certain
variables, such as the electron's initial position, could never be specified precisely: efforts to measure the initial position would inevitably disturb the system.
«We showed that the
model accurately represents what we measured in cities, so now we can use it to conduct sensitivity studies, where only a single
variable — the percentage of the city covered
by impervious versus pervious materials — changes,» he said.
«
By comparing the results of the
models, it was possible to determine which environmental
variables are the most effective in predicting zebra movement, and then use this knowledge to try and infer as to how the zebra make their decisions,» said Gil Bohrer, assistant professor in the Department of Civil, Environmental, and Geodetic Engineering at The Ohio State University, who collaborated on the project.
The study establishes a method for estimating UHI intensities using PRISM — Parameter - elevation Relationships on Independent Slopes
Model — climate data, an analytical model that creates gridded estimates by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital eleva
Model — climate data, an analytical
model that creates gridded estimates by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital eleva
model that creates gridded estimates
by incorporating climatic
variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital elevation.
In summary, Hispanic award probability differentials were explained
by variables added in
Models 4 and 5, but none of the observable characteristics in
Models 1 to 5 fully explained the differential for Asians or blacks.
Salinity of the surface waters can be influenced
by the amount of river water flowing into the oceans, yet no computer
models of ancient ocean circulation had included this
variable.
While building the logistic regression
model, they determined separate
models needed to be created for each quarter of a game because the behavior of the selected
variables change
by quarter.
Because they offer theorists many more
variables to play with, such «dark sector»
models can be reconciled to fit into the ever tighter straitjacket of facts placed on dark matter
by new data — but the downside is that this sprawling flexibility makes them very difficult to conclusively test.
Applying this to weather prediction
models, Roebber began
by subdividing the existing
variables into conditional scenarios: The value of a
variable would be set one way under one condition, but be set differently under another condition.
As Qian honed China's weapons systems, scientists in North America and Europe began applying systems approaches to intractable policy problems,
modeling them as a collection of inputs and
variables linked
by direct or inverse relationships and feedback loops.
A mathematical
model permits the calculation of an important
variable called R0 — the number of additional people infected, on average,
by each case.
«This study confirmed that ocean circulation physics and K. brevis biology are equally important and that both immediate and short term prediction may be achieved using a combination of circulation
models supported
by in situ observations of physical, biological and chemical
variables and satellite imagery,» concluded the researchers.
Researchers improved
modeling of cloud vertical structure
by including certain cloud and precipitation
variables to increase simulation accuracy
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.
Tests for trend with the use of simple linear regression analysis were performed
by modeling the median values of each fiber category as a continuous
variable.
Tests of linear trend across categories of coffee consumption were performed
by assigning participants the midpoint of their coffee - consumption category and entering this new
variable into a separate Cox proportional - hazards regression
model.
Similarly, changes within groups also were analyzed
by fitting to each group the same
model with time as the sole independent
variable.
In rodents, ketogenic diets reduce reactive oxygen species in the brain34 and reduce central inflammation and reactive oxygen species in a
model of multiple sclerosis.35 Two clinical papers have found that ketogenic diet feeding of 12 weeks to 6 months reduced signs of liver inflammation in obese patients with nonalcoholic fatty liver disease (in addition to improving various other physiological and biochemical
variables).36, 37 Unfortunately, basic research into non-alcoholic fatty liver disease has been hampered
by species differences between mice and humans in their hepatic reaction to ketogenic diets.38
Third, although we adjusted for a comprehensive set of covariates in our multivariable
models, the associations reported in our study may partially result from other unobserved confounding
variables, from residual confounding, or
by other dietary
variables.55 However, use of the HEI provided a comprehensive assessment of overall dietary pattern and should have significantly reduced the confounding effect of other dietary
variables.
Finally, we estimated the effect of substituting 3 % of energy from plant protein for an equivalent amount of animal protein from various sources, including processed and unprocessed red meat, poultry, fish, egg, and dairy,
by simultaneously including these protein items as continuous
variables in the multivariable
model.
The longitudinal relation between dietary
variables and incident depression 3 y later was examined
by using multivariable logistic regression to calculate ORs adjusted using the energy partition (22)(
model 1).
A test for linear trend of effects across coffee consumption categories was performed
by regressing each log RR on the ordered categorical
variable for coffee in 5 levels using a random - effect meta - regression
model.
I discovered that proprietary tests or
models used
by those sites could have great precision in measuring different psychological
variables, but the matching algorithm (they apply) has low precision when comparing one profile to others.
By 2008, there is no relationship between college graduates» SAT scores and their likelihood of applying to teach, when controlling for the other
variables in the
model (college major, undergraduate GPA, college selectivity, parents» occupation, parental income, and race / ethnicity).
Algorithms were tested
by varying the dynamic
variables inputted into the
models, in which case the refined mathematic technique resulted in an incorrect summation.
Observational
models are estimated
by OLS and include separate
variables for years in lottery sample pilot schools, lottery sample charter schools, nonlottery sample pilot schools, and nonlottery sample charter schools.
Asked
by Education Week to comment on our findings, the lead author of the NCES report freely acknowledged the problems with some of the
variables used in the NCES analysis, but asserted that our alternative
models may be «underadjusting for the disadvantage in the public sector» because we do not control separately for mothers» and fathers» education.
Finally,
Model III, while keeping the other improvements, eliminates the absenteeism, computer, and books - in - the - home
variables, thereby avoiding the inclusion of student characteristics that can be influenced
by the school.
This creates a complex role for tracks that might not be easily captured
by simply adding track
variables to the value - added
model.
This is in part because there are many other influences on student gains other than individual teachers, and in part because teachers» value - added ratings are affected
by differences in the students who are assigned to them, even when statistical
models try to control for student demographic
variables.
To minimize bias from student sorting
by instructors, I will use a course - set fixed effect
model that compares between students who take exactly the same set of courses during their first semester of college enrollment; I will further augment the
model by combining it with an instrumental
variable approach which exploits term -
by - term fluctuations in faculty composition in each department, therefore controlling for both between - and within - course sorting.
TXCC will support TEA in gathering the most effective and useful approaches to instructional leadership
by convening stakeholders and investigating the efficacy of approaches being used across all five contractors, identifying key components and
variables, and providing consulting services to help the agency plan and develop a new state
model of instructional leadership for ESC implementation.
These tables give us indicators of how well the growth
models are at predicting growth in current year student English / language arts (ELA) and mathematics (MATH) student scores
by grade level and subject (i.e., the dependent
variables).
Clearly, value - added
models do not account for every factor that might contribute to student learning; the question is whether they account for enough
variables so that any factors not controlled
by the
model are not persistently associated with teachers.
By creating an environment that makes learning the constant and time the
variable, uses real - world experiences as learning events, and puts a premium on student maturation and development, the EdVisions
model encourages young people to develop into active thinkers who take charge of their own learning.
Unfortunately, this
model is based on faulty assumptions: that time is the constant and learning is the
variable; that knowledge is easily divided into discrete disciplines that should be taught as separate entities; that students must be led
by the experts in those disciplines; and that young people will not learn unless adults control the environment.