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high performance analytics server  (SAS institute)


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    SAS institute high performance analytics server
    High Performance Analytics Server, supplied by SAS institute, used in various techniques. Bioz Stars score: 95/100, based on 102 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/forecasting/SAS+Forecast+Server/us12578851-351-27-26
    Average 95 stars, based on 102 article reviews
    high performance analytics server - by Bioz Stars, 2026-11
    95/100 stars

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    Related Articles

    other:

    Article Title: Influence of spatially dependent, modeled soil carbon emission factors on life‐cycle greenhouse gas emissions of corn and cellulosic ethanol
    Article Snippet: In the model, simulation processes related to CENTURY’s mass balance and decomposition kinetics for the three primary soil organic matter pools (i.e., active, slow, and passive) and plant litter pools employ various statistical functions embedded within a nonlinear regression procedure of SAS (SAS Institute, 2011) that provides parameter estimation, simulation, and forecasting of dynamic nonlinear simultaneous equation models.

    Article Title: Predictive Methodology for Diabetic Data Analysis in Big Data
    Article Snippet: Andre W. Kushniruk, “Predictive Analytics and Forecasting in Health Care: Integrating Analytics with Electronic Health Records”, SAS Institute Inc, 2008.

    Article Title: A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia.
    Article Snippet: 2.3 Descriptive Analysis We used SAS Econometric Time Series (SAS/ETS) Software for modelling and forecasting (version 9.3, SAS Institute, Cary, NC, USA).

    Article Title: Solving the problems of new product forecasting
    Article Snippet: KEYWORDS Business analytics; Forecasting; New product forecasting; New product launch

    Software:

    Article Title: Effect Evaluation of Forward Collision Warning System Using IoT Log and Virtual Driving Simulation Data
    Article Snippet: .. Model Evaluation The mean absolute percent error (MAPE), as defined below, was used as a measure of the accuracy of the models: MAPE = 100× ( ∑ni=1(|YF −Y|/Y) n ) YF: forecasted variable Y: actual variable n: number of variables SAS 9.4 software (SAS Institute, Inc.) was used for time series analysis and developing ARIMA models and forecasting. ..

    Article Title: Temporal Trends and Future Predictions of Regional EMS System Utilization Using Statistical Modeling
    Article Snippet: Introduction: Trends in utilization of Emergency Medical Services (EMS) systems can be used to extrapolate future use of an EMS system, which will be valuable for the budgeting and planning of finances and resources.. The best model for incorporation of seasonal and regional fluctuations in utilization to predict future utilization is unknown.. Problem:Authors aimed to trend patterns of utilization in a regional EMS system to identify the needs of a growing population and to allow for a better understanding of how the EMS system is used on a basis of call volume and frequency of EMS transportation.

    Article Title: Sepsis Among Medicare Beneficiaries: 3. The Methods, Models, and Forecasts of Sepsis, 2012–2018*
    Article Snippet: STATA (Stata Statistical Software: Release 15; StataCorp LLC, College Station, TX) was used for logistic regression analyses. .. SAS (SAS software, Version 9.4 of the SAS System for Windows; SAS Institute, Cary, NC) was used for financial forecasting. .. We began by using the STATA logistic function to specify a regression model for the indicated binary outcome (e.g., death at 6 mo) on these input predictors: sepsis severity tiers, HCCs, demographic characteristics, and preceding claims in 1 week prior to hospital admission.

    Article Title: Sepsis Among Medicare Beneficiaries
    Article Snippet: STATA (Stata Statistical Software: Release 15; StataCorp LLC, College Station, TX) was used for logistic regression analyses. .. SAS (SAS software, Version 9.4 of the SAS System for Windows; SAS Institute, Cary, NC) was used for financial forecasting. .. We began by using the STATA logistic function to specify a regression model for the indicated binary outcome (e.g., death at 6 mo) on these input predictors: sepsis severity tiers, HCCs, demographic characteristics, and preceding claims in 1 week prior to hospital admission.



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