Not exact matches
CALGARY, October 10, 2017 — Solium Capital Inc. («Solium»)(TSX: SUM), the leading provider of software - as - a-service for global equity - based incentive plans, administration, financial reporting and compliance, today announced the acquisition of Capshare, a high -
growth cloud platform for cap table management, electronic - share tracking,
modeling and waterfall
analysis, and compliance for private companies.
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.
Just this morning, supporters of the bill released a counter
analysis of the city's living wage study, which argued its
modeling did not rule out other factors that could affect job
growth (like an economic downturn).
The work applies a data
analysis model for the
growth and maturation of biomedical research to characterize the progress of research on the pharmaceutical chemistry of oligonucleotide therapeutics, as well as the molecular targets, for their actions.
The mathematical
model developed for the latest work determines how termite mounds affect plant
growth by applying various tools from physics and mathematical and numerical
analysis to understand a biological phenomenon, said first author Juan Bonachela, a former postdoctoral researcher in the research group of co-author Simon Levin, Princeton's George M. Moffett Professor of Biology.
«Discovering the factors involved in granuloma control vs those not able to control bacterial
growth is a critical step in potentially developing treatments that could «freeze» granulomas into a protective state in the two billion latent carriers,» explains Grace Peng, Ph.D., Director of the NIBIB program for Mathematical
Modeling, Simulation and
Analysis.
The study
analyses data obtained from the simulation forest
growth model GOTILWA + (Growth Of Trees Is Limited by WAter), based on ecophysiological proc
growth model GOTILWA + (
Growth Of Trees Is Limited by WAter), based on ecophysiological proc
Growth Of Trees Is Limited by WAter), based on ecophysiological processes.
To get a sense for how this probability, or risk of such a storm, will change in the future, he performed the same
analysis, this time embedding the hurricane
model within six global climate
models, and running each
model from the years 2081 to 2100, under a future scenario in which the world's climate changes as a result of unmitigated
growth of greenhouse gas emissions.
An Interview with Conant Professor Judith Singer and Eliot Professor John Willett Applied statisticians and long - time research partners Conant Professor Judith Singer and Eliot Professor John Willett recently published Applied Longitudinal Data
Analysis, which offers an integrated treatment of individual growth modeling and survival a
Analysis, which offers an integrated treatment of individual
growth modeling and survival
analysisanalysis.
Focusing on two complementary longitudinal methods — individual
growth modeling and survival
analysis — Willett and Singer provide new avenues for researchers to address critical questions about how things evolve and how long it takes for change to occur.
When we performed the
analysis again, this time also including the average test - score performance of a country in our
model, we found that countries with higher test scores experienced far higher
growth rates.
A Longitudinal
Analysis Investigating the Role of Immigrant Generation Status on and Intra-linguistic
Growth Model of Reading Comprehension among Bilingual Latinos in Elementary School.
RAPSA (Reaching At - Promise Students Association) is sponsoring a free webinar about a statistical
growth model called value - added
analysis.
Prior to being an employee of CEC, Brian had the privilege of using the organization to foster his own understanding in student
growth legislation, teacher evaluation, teacher mentoring, assessment
analysis, and designing a school transformation
model.
By following individual students»
growth across grade levels, value - added
models can circumvent NCLB's «cross-sectional»
analyses whereby test scores of this year's crop of 4th graders, for example, are compared with the test scores of last year's crop of 4th graders.
Analysis of the stability of teacher - level
growth scores [derived] from the student
growth percentile [SGP]
model.
Matched - paired tests were used for the primary
analysis, and sensitivity
analyses included permutation tests and random - intercept
growth curve
models.
Damian Betebenner is the architect of the student
growth percentile (SGP)
model and his current work focuses on the development, implementation, integration and reporting / communication of state level
growth analyses.
In other words, advanced economics is the quantitative
analysis of economic
models on the basis of parallel
growth of theories and measurement.
They develop and apply quantitative political economy approaches by integrating quantitative
models of political decision - making into existing economic
modeling tools, allowing a more comprehensive
growth - poverty
analysis.
It is worth noting that the outperformance of
growth stocks over value ones in this
analysis period appears to directly contradict the value effect in the classic three - factor
model.
I also taught myself a fair bit of statistics along the way including logistic regressions and discriminant
analysis in order to backtest different
models for identifying outperformers, dividend
growth / cuts etc..
The second half of Henning's hybrid
model involves using fundamental variables that have performed well as indicators of future price
growth, based on Henning's own multiple regression
analysis.
The GSS team assess the
modeling and
analysis of the regional teams based on an independent view of
growth - and risk - drivers.
Twice a year, we run a dividend discount
model (DDM) calculation to complete our
analysis of strong dividend
growth business.
For WAG my
model calculates a 11.9 % dividend
growth rate, but with a 1.21 % yield (at the time of the
analysis) it wasn't enough.
Instead of using the short - form dividend discount
model, you can use the two stage dividend
growth model to build an exact annual
analysis of the dividend
growth rate.
The yield is currently at 4.45 % based on the CAD 0.66 quarterly dividend payout.I have valued the shares using a dividend discount
model analysis with a 10 % discount rate and an 7 % long - term
growth rate.
I valued shares using a dividend discount
model analysis with a 8 % discount rate and a very conservative 4 % long - term dividend
growth rate.
I valued the shares using a Dividend Discount
Model analysis, with a 10 % discount rate and a 7 % long - term
growth rate.
The DDM
analysis is a tailored version of the discounted cash flow
model analysis, as it simply substitutes dividends and dividend
growth for cash flow and
growth.
Topics will include predictability, ensemble prediction, nonlinear prediction, nonlinear time series
analysis, low - dimensional chaos, error
growth in the
models, nonlinear
modeling, fractals and multifractals, bifurcation, and other aspects of nonlinear science.
The
analysis is the first to combine detailed
models of the U.S. electric system and transportation sector with sophisticated atmospheric air quality
models — accounting for the future evolution of both sectors in technological advances, electricity load
growth and capacity expansion.
A 2007
analysis by Duke University's Nicholas Institute for Environmental Policy Solutions (based on a U.S. Energy Information Administration
model) found that the Lieberman - Warner Climate Security Act (S. 3036) would reduce U.S. GDP
growth by less than 0.45 percent by 2015 and only 1.5 percent by 2050.
Our approach is anchored in statistical
analysis of time - series datasets using
models of
growth and diffusion, particularly Lotka - Volterra dynamical systems.
Craig Holt, chief executive of QS, says Palamon's «understanding of the legal services market and
analysis of our business
model convinced us that they could provide the strongest strategic support to help us achieve our ambitious
growth plans».
Excelling as a member of the Large Cap
Growth team at Citigroup with $ 6.3 B funds under management; performing rigorous
analysis to determine portfolio viability and rebalancing needs, creating detailed financial
models with regional and product breakdowns, and tracking stock news within assigned sectors to assess short - and long - term impact on returns.
Performed budgets, forecasts, financial
analysis and systems implementations for 600 multi-site retail stores Implemented JD Edwards accounting package including Accounts Payable, Accounts Receivable, General Ledger and Fixed Assets Performed corporate consolidations and currency conversions expressly for the United Kingdom, Europe and the Asian countries including Japan Performed product line profitability and new product launch
analysis including the sub $ 1,000 personal computer estimated to be 30 % of the 2000 annual operating plan Created a five year strategic
model including P&L, cash flow, and balance sheet that provided significant impact to the organizationâ $ ™ s future
growth and communication to the analyst community Developed financial statements and negotiated with portal and internet service providers to form Gateway.net and Gateway.com start up companies resulting in 1 million subscribers Supervised a staff of ten full time financial analysts
Tags for this Online Resume: Strategy, Strategic,
Analysis, Business,
Model, Efficiency, Research, Data, Financial, Performance, Management, MBA, Planning, Portfolio, Software, GIS, Competitor, Database, Marketing, CRM,
Growth, Geographic
Tags for this Online Resume: Strategic Planning, Communications / Presentations, Project and Program Management, Financial
Analysis and
Modeling, Team Building, Entrepreneurship, Innovation, Marketing, Operations, Competitive Advantages, Process Reengineering, Management Consultant, Incubator, Start - up Company,
Growth - Stage Company, Financial Management
Quantitative Research position that utilizes my skills and experience in data
analysis, renewable energies, electricity markets, mathematical
modeling, and statistical
models, and provides me with the opportunity for
growth and advancement.
Tags for this Online Resume: heat / mass transfer, fluid dynamics and magnetic hydrodynamics, phase transition, semiconductors, the optimisation of yield, mathematical
models, crystal
growth, numerical methods, simulations, data
analysis, radiation heat exchange, FORTRAN, C, Two and three dimentional
modeling, Evaluation and testing of software products, presentations and trainings, scientific paper writing
Secondary evaluations of MTA 36 - month outcomes: propensity score and
growth mixture
model analysis
Outcome
analyses used SPSS (IBM SPSS Statistics, IBM Corporation; Predictive Analytics Software [PASW] 18) and HLM - 6.35 For child and parent outcomes, a piecewise
growth curve
modeling approach36 with an intercept representing baseline levels of functioning and 2 linear slope factors representing change over time was estimated for each family at the
model's first level.
An introduction to latent class
growth analysis and
growth mixture
modeling, Social and Personality Psychology Compass, 2/1, 302 - 317.
KW - elderly, marital relationship, depression, latent
growth curve
model, multi-group
analyses DO - 10.15703 / kjc.16.4.201508.575 UR - http://dx.doi.org/10.15703/kjc.16.4.201508.575 ER -
She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation
modeling, confirmatory factor
analysis and MIMIC approaches to measurement, path
modeling, regression
analysis (e.g., linear, logistic, Poisson), latent class
analysis, hierarchical linear
models (including
growth curve
modeling), latent transition
analysis, mixture
modeling, item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability
analysis through Cronbach's alpha, exploratory factor
analysis, uni - and multivariate regression, correlation, ANOVA, etc).
Integrating person - centered and variable - centered
analyses:
Growth mixture
modeling with latent trajectory classes
Indicators of
growth in externalizing and internalizing symptoms were derived from multiple domain
growth models and used in person - centered
growth mixture
analyses.
Growth mixture
modeling analyses supported declining, ascending, and stable high self - esteem trajectories.