As illustrated by Figure 1, regardless of whether
the statistical model accounts for the selectivity of college (dashed line) or not (solid line), this research finds that the effects of training programs do decay.
Not exact matches
It incorporates
statistical modeling using over 800 commercial and owner variables — including tradeline and collection information, recent credit inquiries, public filings, new
account activity, key financial ratios and other performance indicators.
Regardless, analyses like these are helpful as a first stage to develop
statistical models and methods that can try to
account for the correlation structure and randomness.
So the Tories are defending an unusually strong 2009 result and face a much greater challenge than can be
accounted for by the opinion polls
statistical model.
The
model predictions are therefore reliable, taking some
statistical uncertainty into
account.
Ms Koechlin, Professor Philippe Autier and colleagues used
statistical models to work out whether current cancer death rates were due more to the effects of age, the year of birth (which takes into
account exposure to cancer - causing agents such as sunshine during early life), or to the recent introduction of new medical technologies or treatments.
The team honed their
statistical models to further take into
account such uncertainties and possibly created a
statistical first.
In her doctoral thesis, Henni Pulkkinen, Researcher at the Natural Resources Institute Finland (Luke), explored how the various sources of uncertainty can be taken into
account in fisheries stock assessment by using Bayesian
statistical models, which enable extensive combining of information.
To determine the length of time it likely took for the study patients» cancers to form, the scientists used multiple
statistical models that took into
account the patient's age when they were diagnosed and the total number of mutations in each patient's cancer.
They estimate that Amazonia has about 16,000 species of trees (although they admit the
statistical model has some problems, such as not
accounting for environmental preferences of various species).
To measure the effect on children's test scores of switching to a private school, we estimate a
statistical model that takes into
account whether a child attended a public or a private school, as well as baseline reading and math test scores.
The
statistical significance of these adjusted differences as shown in Figures 2 and 3 are estimated by
models that take into
account the entire distribution of responses (e.g., very satisfied, somewhat satisfied, somewhat dissatisfied, or very dissatisfied).
«Value - added» measurements use complex
statistical models to project a student's future gains based on his or her past performance, taking into
account how similar students perform.
Statistical models that evaluate teachers based on growth in student achievement differ in how they
account for student backgrounds, school, and classroom resources.
Another question that educators and researchers have debated is whether the
statistical models should
account for student characteristics that are linked to achievement — for example, poverty, English ability and special - education status.
Yet, as I note in the book, school administrators now must (in many states)
account for
statistical models of VAMs in high - stakes decision and, in turn, so must courts.
Credit scoring is a scientific method that uses
statistical models to assess an individual's credit worthiness based on their credit history and current credit
accounts.
It incorporates
statistical modeling using over 800 commercial and owner variables — including tradeline and collection information, recent credit inquiries, public filings, new
account activity, key financial ratios and other performance indicators.
The
model results (which are based on driving various climate
models with estimated solar, volcanic, and anthropogenic radiative forcing changes over this timeframe) are, by in large, remarkably consistent with the reconstructions, taking into
account the
statistical uncertainties.
Better
statistical models thus might take into
account the correlation of interannual variations, or have explicit
account of natural drivers (the sun and volcanoes), but will quickly run into difficulties in defining these additional aspects from the single real world data set we have (which includes human impacts).
I'm not sure whether
statistical trend
models would be sufficient, and in order to examine the «residuals» (the data after the trends have been removed), one really needs to use a fully - flegded climate
model with all important forcings and feedback processes
accounted for.
A
statistical model (based on the work of Judith Lean at the Naval Research Laboratory) that
accounts for solar variability, El Niño, volcanic activity, and greenhouse warming indicates that the underlying trend of global warming has accelerated over the past 15 years.
Statistical inferences (tests for the presence of trend, confidence intervals for the trend, etc.) are invalid unless departures from the standard assumptions are properly
accounted for, for example as follows: Dependence: autocorrelated time series might be
modeled using autoregressive moving average
models.
As such, the
statistical model provides a direct and transparent methodology to test whether changes in anthropogenic and natural forcings can
account for the recent pattern of temperature changes.
A purely
statistical analysis that doesn't take into
account physics can at best predict short term phenomena or situations that are exact analogues to past variations with similar causality to situation they purport to be
modelling.
Risk classification on automobiles also takes into
account the
statistical analysis of reported theft, accidents, and mechanical malfunction on every given year, make, and
model of auto.
Perform data and document intensive financial analysis and
modeling / projections, strategic analysis, economic and
statistical analysis, due diligence, valuation analysis, forensic
accounting procedures, and related investigative assignments.
Tags for this Online Resume:
Account Collections, Audit Techniques, Benefits Management, Budgeting / Variance Analysis, Cost
Accounting Analysis, Customer Service Management, Financial Analysis Techniques, Human Resources Management, Management of Accounts Payable, Insurance, Management of Billing / Accounts Receivable, Networking / Database Management, Operations Management, Pension Management, Purchasing / Procurement, Regulatory Compliance, Research Analysis,
Statistical Analysis, MAS 90 / MAS 200, Data Mining, JD Edwards / Great Plains / Peachtree
Accounting, Word / Excel / Project / PowerPoint / Oracle, Quick Books / Deltek
Accounting / SAP, Leadership, Sarbanes - Oxley, Team Building, Cognos / Crystal Reports / Hyperion / Pillar, Performance Improvement
Models / Processes, Strategic Planning, Process Improvement Leader, Supervision / Management, Research / Problem Resolution
Business & Management Competencies Financial Planning • Profit Analysis • Compliance • Business Development •
Account Management • Strategic Planning • Pricing Analysis • Team Leadership / Motivation • Client Services •
Statistical Modeling / Trend Analysis • Brand Development • Market Trends • Forecasting • Negotiation • Business Intelligence (BI) • Business Analysis • Ad hoc Analysis • Reporting • Budget Management
Genetic, shared, and non-shared environmental effects were estimated for each temperamental construct and psychiatric disorder using the
statistical program MX. Multivariate genetic
models were fitted to determine whether the same or different sets of genes and environments
account for the co-occurrence between early temperament and preschool psychiatric disorders.