Sentences with phrase «by modeling the variables»

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 elevaModel — 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 elevamodel 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.
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