Performed logistic and vintage analysis for reason code changes and monotonizing
of model variables to support new reason code model development.
As a geologist, it is not clear to me how a model can have ``... lessons to teach us about the real Siberian continental margin» (Archer, 2015) when ``... many
of the model variables are not well known», ``... meaning that in some aspects the model results are not a strong constraint on reality».
The first available data set at a horizontal resolution of 6 km covers the entire European continent for the years 1995 - 2015 with output
of model variables being available for every hour.
Next, we estimated the effect
of our model variables on the probability of receiving a priority score during the review process (table S14).
Not exact matches
Though many
variables can affect the cost
of insurance — a driver's age, the severity and number
of dings on their record, and the make and
model of the car itself — where a person lives can be the biggest deciding factor
of all.
They clearly did invalidate the old
models over the next few years as credit misallocation accelerated, along with the depth and direction
of now - unprecedented imbalances and highly self - reinforcing price changes in commodities, real estate, stock markets, and other
variables — what George Soros might have cited as extreme cases
of reflexivity.
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.
The
model shown in the following painting attempts to diagram the three
variables of Price, Expected Return and Uncertainty, resulting in a distribution
of actual monthly returns shown at the bottom.
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.
We account for the projected size and earnings
of the expanded workforce, as well as the amount
of new housing that each city is expected to produce, and we adjust our
model's input
variables to develop high - and low - range estimates.
Putting together a financial
model and having the founders understand the interrelationships
of the
variables that can make or break a business is a worthwhile exercise.
, Lingjie Ma and George Patterson apply a quantile regression
model (considering effects across the distribution) to investigate long - run relationships between the price
of gold and various economic and financial
variables.
To offset our counterparty risk in the 2
of 2 multi-signature
model, as well as our risk
of paying enormous mining fees, there may be
variable minimum and maximum limits on any given contract at any given time.
Glass Lewis performs its own valuation to determine the value
of stock options using the Black - Scholes
model, along with standardized methodologies, to derive some
of the input
variables for all companies in our
model.
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.
That is, given the current state
of the economy, and given the objectives for policy (the inflation target and a preference for avoiding undue instability in real GDP), the
model can be asked: what is the path for interest rates over the relevant horizon which will minimise the variance
of the objective
variables around their targets?
The
model linked here details a hypothetical payback for investors, with several
variables, such as revenue and net income margins, which can be altered for a number
of potential scenarios for a Profit Sharing Unit.
We study a prototypical
model of a Parliament with two Parties or two Political Coalitions and we show how the introduction
of a
variable percentage
of randomly selected independent legislators can increase the global efficiency
of a Legislature, in terms
of both number
of laws passed and average social welfare obtained.
This means the best linear
model of Planned Parenthood's contraception activities calls for Planned Parenthood to «distribute» 1.38 million contraception units even while receiving no government funds (a y - axis intercept means a zero value for the x
variable, being government payments).
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.
These time - series, plus the construction
of models of likely combinations
of trends, assist in uncovering the causal relationships obtained among the
variables which are shaping outcomes.
One
of the most notable Muslim scholars was Ibn - Khaldun, who gave us a multi-disciplinary, dynamic
model of the economy, very different from the neo-classical
model which relies primarily on economic
variables.
These
models are also in contrast to
variable speed evolution, which maintains that different species evolve at different rates, and that there is no reason to stress one rate
of change over another»
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.
Mathematical
models, such as the equations for the growth
of a population
of insects, are used to make quantitative predictions
of particular
variables.
In each case the
model aided the formulation
of the equations
of the theory and also suggested rules
of correspondence between certain theoretical terms and observable
variables.
We have in recent years witnessed a number
of new theoretical schemes — or attempts to revive old schemes in which collective, behavioral, observable
variables predominate: ecological theories, economistic
models, market metaphors, notions
of moral order and moral economy, and cybernetic and behaviorist approaches, to name a few.
The combination
of several trends — lower global wine inventory, changing sourcing
models,
variable container availability and the ongoing consolidation
of shipping lines — create a challenging outlook for companies that buy and transport bulk wine.
Operators are facing four big areas
of challenge that Technomic sees as transformative, bound to drive changes in how operators approach business: 1) coping with supply chain challenges, including driver shortages; 2) meeting consumer demand for «food with integrity»; 3) dealing with «regulation nation» where industry - disrupting changes may include a higher minimum wage; and 4) incorporating innovations into operations, including new delivery
models,
variable pricing, self - ordering systems, and robotics.
This may affect the ability to infer which thermoregulatory
variables are being monitored in the presently proposed anticipatory regulation
model, because it is the timing
of the changes in work rate that is essential, and rectal temperature may not provide the necessary resolution
of measurement.
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.
First, a linear regression
model was constructed using the latest postnatal weight measurement in grams as the dependent
variable and using the breastfeeding medication group (fluoxetine: yes / no) as the independent
variable of interest.
A confounding
variable was defined for analysis as one for which there was at least a 5 % difference in the regression coefficient estimates for type
of feeding in regression
models with and without the potential confounding
variable.
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.
Other maternal
variables tested in the
model included maternal age, ethnic group, socioeconomic status, parity, prepregnancy weight and height, CES - D score, and use
of tobacco.
In the final
model, no
variable was retained as an independently significant risk factor, and no
variable modified the estimate
of the effect
of the medication group in a material way (> 10 %).
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).
To facilitate presentation
of the final
model, dichotomous
variables were constructed for these factors (ie, goal ≤ 26 weeks or > 26 weeks and maternal age ≤ 30 years or > 30 years).
Finally, to evaluate any modification
of pacifier effects attributable to potential confounding factors
of specific interest (eg, bottle introduction, study group assignment), both the pacifier
variable and the
variable in question were added to the selected «best»
models.
Hospital, doctor, or clinic visits or hospital admissions as a result
of any respiratory infection or illness were combined as composite
variables reflecting any respiratory morbidity, and the protective effect
of breast feeding persisted in all
models (p < 0.01).
Because it was not possible to examine the independent effects
of BMI and edema in the same logistic regression
model, these
variables were examined in separate
models.
The addition
of the Infant Feeding Intentions score to the
model strengthened the association with maternal age and BMI, with little effect on the other
variables.
Is asymmetric devolution to be translated into infinite
models in England,
of variable, localised scales
of civic participation and engagement?
The dependent
variable for the
models is the change in share
of seats at a given election.
The
models specified are inappropriate for properly addressing this question, both in their use
of road expenditure data (based on a misunderstanding
of how this may relate to traffic growth) and specification
of a
model that does not account for other
variables that generally have a large effect on traffic growth (notably population and income growth).
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.
BOX 23, A-15-4; 30219212 / 734979 SAPA Requests for Translations
of SAPA materials, 1966 - 1968 Prerequisites for SAPA The Psychological Basis
of SAPA, 1965 Requests for SAPA to be Used in Canada, 1966 - 1968 Requests for Assistance with Inservice programs, 1967 - 1968 Schools Using SAPA, 1966 - 1968 Speakers on SAPA for NSTA and Other Meetings, 1968 Suggestions for Revisions
of Part 4, 1967 - 1968 Suggestions for Revisions
of the Commentary, 1967 - 1968 Summer Institutes for SAPA, Locations, 1968 Summer Institutes for SAPA, Announcement Forms, 1968 Inservice Programs, 1968 - 1969 Consultant Recommendations, 1967 - 1968 Inquiries About Films, 1968 Inquiries About Kits, 1967 - 1968 Inquiries About Evaluations, 1968 Tryout Teacher List, 1967 - 1968 Tryout Centers, 1967 - 1968 Tryout Feedback Forms, 1967 - 1968 Tryout Center Coordinators, 1967 - 1968 Cancelled Tryout Centers, 1967 - 1968 Volunteer Teachers for Parts F & G, 1967 - 1968 List
of Teachers for Tryout Centers, 1963 - 1966 Tucson, AZ, Dr. Ed McCullough, 1964 - 1968 Tallahassee, FL, Mr. VanPierce, 1964 - 1968 Chicago, IL, University
of Chicago, Miss Illa Podendorf, 1965 - 1969 Monmouth, IL, Professor David Allison, 1964 - 1968 Overland Park, KS, Mr. R. Scott Irwin and Mrs. John Muller, 1964 - 1968 Baltimore, MD, Mr. Daniel Rochowiak, 1964 - 1968 Kern County, CA, Mr. Dale Easter and Mr. Edward Price, 1964 - 1967 Philadelphia, PA, Mrs. Margaret Efraemson, 1968 Austin, TX, Dr. David Butts, 1968 Seattle, WA, Mrs. Louisa Crook, 1968 Oshkosh, WI, Dr. Robert White, 1968 John R. Mayer, personal correspondence, 1966 - 1969 Teacher Response Sheets, 1966 - 1967 Overland, KS Oshkosh, WI Monmouth, IL Baltimore, MD Teacher Response Checklist SAPA Feedback, 1965 - 1966 Using Time Space Relations Communicating Observing Formulating
Models Defining Operationally Interpreting Data Classifying (2 Folders) Measuring Inferring Predicting Formulating Hypothesis Controlling
Variables Experimenting Using Numbers SAPA Response Sheets for Competency Measures, 1966
Modeling future climate scenarios is a notoriously tricky science, involving wide margins
of uncertainty, myriad
variables and a profusion
of data.
Taking distributional characteristics into account leads to situations where two
variables can not be exchanged in their status as cause and effect without systematically violating assumptions
of the
model.
Accuracy
of the 1 - D, 2 - D, or 3 - D flood
models that track how these waves move is crucial for predicting maximum flood depth, hazardous conditions, and other
variables.