Yearly Archives: 2016

Rick Wicklin 0
Create an ogive in SAS

My son is taking an AP Statistics course in high school this year. AP Statistics is one of the fastest-growing AP courses, so I welcome the chance to see topics and techniques in the course. Last week I was pleased to see that they teach data exploration techniques, such as

Data Visualization
Sanjay Matange 0
Spark and Summary Plots

In the area of graphical visualization of data, Edward Tufte is a thought leader and has put forth many innovative ideas that enhance the understanding of the information in the graph with minimal distractions and potential for misinterpretation. One of his ideas has been the use of "Spark" plots.  As per my

Rick Wicklin 0
Simulate data from a generalized Gaussian distribution

Although statisticians often assume normally distributed errors, there are important processes for which the error distribution has a heavy tail. A well-known heavy-tailed distribution is the t distribution, but the t distribution is unsuitable for some applications because it does not have finite moments (means, variance,...) for small parameter values.

Analytics
Thomas Keil 0
Christoph Keese: Silicon Valley

Die Springer-WG im Silicon Valley wurde zunächst belächelt und beargwöhnt. Hat es das schon einmal gegeben? Ein deutscher Konzern schickt eine Handvoll seiner Top-Manager für einen längeren Aufenthalt in eine andere Weltgegend mit dem Auftrag, die Geschäftsmodelle der Zukunft zu sondieren. Herausgekommen sind ikonisch gewordene Bilder eines Vollbart tragenden Kai

SAS Events
Anjelica Cummings 0
What’s your big data problem?

Analytics Experience 2016 featured more than 100 breakout sessions and talks covering numerous topics in big data. You can watch many of those talks from our Analytics Experience 2016 video portal, where select keynote and session talks are archived. To give you a taste of the content you'll find there, here’s a

Rick Wicklin 0
The distribution of nearest neighbor distances

Last week I showed how to compute nearest-neighbor distances for a set of numerical observations. Nearest-neighbor distances are used in many statistical computations, including the analysis of spatial point patterns. This article describes how the distribution of nearest-neighbor distances can help you determine whether spatial data are uniformly distributed or

Gloria Cabero 0
"The Power To Know" celebra 40 años

En SAS estamos celebrando, con total satisfacción y orgullo, 40 años de apoyar el crecimiento de las empresas a nivel mundial. Durante estas cuatro décadas, de constante servicio al sector empresarial, nos hemos enfocado en proveer soluciones de análisis de datos que permitan aprovechar las oportunidades de mayor rentabilidad y

Advanced Analytics | Fraud & Security Intelligence | SAS Events
SAS Poland 0
SAS® Visual Investigator – nowy wymiar użycia zaawansowanej analityki SAS

W obecnych czasach temat wykrywania nadużyć w obszarach finansów, usług dla obywateli oraz bezpieczeństwa narodowego staje się coraz większym wyzwaniem dla firm prywatnych i instytucji państwowych. Powszechność dostępu do Internetu, gwałtowny rozwój handlu elektronicznego i rosnące ilości danych przetwarzanych w usługach „w chmurze” powodują konieczność zastosowania zaawansowanych narzędzi informatycznych. SAS®

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