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4 Jun 2018 ... Many years ago, the computing world was faced with a challenge of having a standard document sharing platform what works across all ... Before joining SAS, Don was the chief information officer (CIO) for the North Carolina Department of Commerce, where he was recognized by the National Association of State Information Resource Executives (NASIRE), and earned the NASIRE Award for the Innovative Use of Technology Hatcher also served as CIO for the North Carolina Department of Agriculture, where he was recognized with the Smithsonian/Computerworld award for leveraging technology in education Hatcher holds a bachelor s degree in computer science from the University of Maryland Michael Nielsen is a Senior Consultant for SAS International Based in Copenhagen, Denmark, Michael has played a key role in the development of the Information Evolution Model and the Information Evolution Assessment Service, working closely with industry analyst groups as well as internal and external thought leaders He is responsible for creating, developing, and rolling out the Information Evolution Assessment Service for the EMEA and Asia/Pacific regions. In empirical nance, you will hear people talk about autoregressive moving average (ARMA) models and autoregressive integrated moving average (ARIMA) models. Both of these are time series models, meaning that the current value of the variable in question is determined by past values of that variable. An ARMA model, like the one employed in CreditPortfolioView, is based on the assumption that each value of the series depends only on a weighted sum of the previous values of the same series (autoregressive component) and on a weighted sum of the present and previous values of a different time series (moving average component) with the addition of a noise factor. For example, the following process would be called an ARMA(2, 1) process. Yt = 1Yt 1 + 2Yt 2 + 0Zt + 1Zt 1 + t The variable Y is related to (1) its values in time periods t 1 and t 2, (2) the current and t 1 values of variable Z, and (3) a random error term, t . The ARIMA model extends the ARMA process to include a measure of the stationarity of the process. For example, if the preceding process was an ARIMA(2,0,1), it would be a stationary process. pdf editor software free download for windows xp The 5 best PDF editors for 2019 - Business Matters
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