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In a previous article, I showed how to simulate data for a linear regression model with an arbitrary number of continuous explanatory variables. To keep the discussion simple, I simulated a single sample with N observations and p variables. However, to use Monte Carlo methods to approximate the sampling distribution
To properly evaluate (and improve) forecasting performance, we recommend our customers use a methodology called Forecast Value Added (FVA) analysis. FVA lets you identify forecasting process waste (activities that are failing to improve the forecast, or are even making it worse). The objective is to help the organization generate forecasts
SAS® Federation Server provides a central, virtual environment for administering and securing access to your data. It also allows you to combine data from multiple sources without moving or copying the data. SAS Federation Server Manager, a web-based application, is used to administer SAS Federation Server(s). Data privacy is a
A diario, las empresas compiten aguerridamente entre sí para atraer nuevos clientes, conservar los que ya tienen y asegurar su lealtad por mucho tiempo. Sin embargo, no es una tarea fácil, especialmente cuando los consumidores están más conectados e informados que nunca y su entorno es cada vez más competitivo.
I usually create very technical maps, to display data spatially - and they usually have a certain look. They're clear, crisp, and to the point. I typically only use color to represent the data, and I choose a font that is simple and easy to read (such as arial). But
Did you know that January is Human Trafficking Awareness Month in the United States? If not, you may not know that researchers estimate that human trafficking is a global industry with revenues from $51 to $99 billion annually, up from $32 billion just a few years ago. In this case,
You have all seen, or perhaps even created, some really bad graphics: Cluttered, confusing, too small, incomprehensible. Or worse, the author may have committed one of the three unforgivable sins of data visualization by deceptively distorting a map, truncating the axis so as to misrepresent the data, or used double
PROC SGPLOT writes a graph template and uses it to create a graph. You can edit the template and then create a modified graph.
Recently, SAS shipped the fourth maintenance of SAS 9.4. Building on this foundation, SAS Studio reached a new milestone, its 3.6 release. All editions have been upgraded, including Personal, Basic and Enterprise. In this blog post, I want to highlight the new features that have been introduced. In subsequent posts
Unendliche Weiten … nein, heute meine ich damit mal nicht das gute alte Raumschiff Enterprise (übrigens 50-jähriges Jubiläum), sondern die Möglichkeiten, die sich einem auftun, wenn man bereit ist, sich auf etwas Neues einzulassen. Eigentlich ist das ziemlich einfach: Man schaut sich bei Leuten um, die aus einer vollkommen anderen
If you are a SAS programmer and use the GROUP= option in PROC SGPLOT, you might have encountered a thorny issue: if you use a WHERE clause to omit certain observations, then the marker colors for groups might change from one plot to another. This happens because the marker colors
I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional
Am 28. Januar war Europäischer Datenschutztag und ab sofort gilt dann verschärftes EU-Recht – so kommt es einem zumindest vor bei Gesprächen mit Datenschutz-Experten, bei ihrem Streben, die neue EU-Datenschutz-Grundverordnung (DSGVO) zu bewältigen. Was ist schutzwürdig? Alles bekannt Personenbezogene, sowieso. Mehr aber noch das Unbekannte.
Preview of the Winter 2017 issue of Foresight Foresight begins the new year with our 44th issue since the journal began publishing in 2005, and in this Winter 2017 collection we’re showcasing a broad range of incisive and entertaining pieces. We’re looking at new research on the effectiveness of collaboration
In my last post I described "4 adaptability attributes for analytical success," and in the past I've discussed the strategic role analytics play in helping organizations succeed now and into the future. Now I'd like to discuss three attributes that define a powerful analytics environment: Speed Accuracy Scalability [NOTE: Any