Usted probablemente ha oído hablar del Internet de las Cosas. Por si no lo ha escuchado, es ese concepto que habla de que los dispositivos conectados a Internet pueden transmitir datos de un lado a otro y se comunican entre sí para tomar decisiones o enviar notificaciones sin intervención humana.
Last month, SAS launched our new no-cost software for higher education teaching, learning and research – SAS® University Edition. Available to students, professors, academic researchers and lifelong learners, SAS University Edition provides local access to BASE SAS®, SAS/STAT® software, SAS® Studio, SAS/IML® software and SAS/ACCESS® Interface to PC Files. SAS University Edition
My esteemed colleague and recently-published author Jared Dean shared some thoughts on how ensemble models help make better predictions. For predictive modeling, Jared explains the value of two main forms of ensembles --bagging and boosting. It should not be surprising that the idea of combining predictions from more than one
Data-driven journalism has driven some of my recent posts. I blogged about turning anecdote into data and how being data-driven means being question-driven. The latter noted the similarity between interviewing people and interviewing data. In this post I want to examine interviewing people about data, especially the data used by people to drive
A colleague asked me an interesting question: I have a journal article that includes sample quantiles for a variable. Given a new data value, I want to approximate its quantile. I also want to simulate data from the distribution of the published data. Is that possible? This situation is common.
Today it is common knowledge that a classroom teacher is the single largest in-school influence on student academic growth[1]. So when South Carolina received ESEA flexibility in July, 2012, the State Department of Education immediately began an initiative empowering teachers to increase their own effectiveness. Known as the Educator Evaluation System
How much of your business performance (profit) is driven by external factors versus internal? A figure of 85% compared to 15% was mentioned at last month’s Manufacturing Analytics Summit, and although I could not find the study mentioned to confirm, it feels about right to me. Certainly more than half,
Principle 11: Risk management reports should be distributed to the relevant parties while ensuring confidentiality is maintained. Early in 2013, the Basel Committee on Banking Supervision (BCBS) issued guidelines for banks regarding risk data aggregation and reporting. Known collectively as BCBC 239, these principles were designed to ensure that banks
I've pointed out in the past that in the SAS/IML language matrices are passed to modules "by reference." This means that large matrices are not copied in and out of modules but are updated "in place." As a result, the SAS/IML language can be very efficient when it computes with
In 1965's Subterranean Homesick Blues, Bob Dylan taught us: You don't need a weatherman / To know which way the wind blows In 1972's You Don't Mess Around with Jim, Jim Croce taught us: You don't spit into the wind By combining these two teachings, one can logically conclude that:
Today is my 500th blog post for The DO Loop. I decided to celebrate by doing what I always do: discuss a statistical problem and show how to solve it by writing a program in SAS. Two ways to parameterize the lognormal distribution I recently blogged about the relationship between
This probably won't surprise any of my regular readers: "SAS custom tasks" is one of my favorite topics to talk about. Since 2007, I've written blogs about how you can use custom tasks to extend SAS Enterprise Guide and the SAS Add-In for Microsoft Office. I've shared lots of examples,
Our tradition from Foresight’s birth in 2005 has been to feature a particular topic of interest and value to practicing forecasters. These feature sections have covered a wide range of areas: the politics of forecasting, how and when to judgmentally adjust statistical forecasts, forecasting support systems, why we should
In 1990, the North Carolina General Assembly created the Sentencing and Policy Advisory Commission to evaluate sentencing laws and policies and recommend any modifications necessary to achieve policy goals. As part of the mandate, the General Assembly required the Sentencing Commission to develop a correctional population simulation model. The model
From managing excess DVD inventory to optimizing digital distribution channels, Hollywood’s supply chain transformation in the last decade has been massive. Knowing this background, and having spent a good part of my life surrounded by the entertainment industry, I was intrigued and inspired by the recent Entertainment Supply Chain Academy
La tecnología se ha convertido en el nuevo asistente técnico de los equipos de fútbol y está claro que el uso de la analítica puede contribuir al éxito en el campo, la tribuna o la taquilla. La utilización de software para analizar datos genera resultados impactantes en los equipos de
SAS software can be used for many things - here's how you could use it to help save endangered sea turtles! You've seen SAS used to track endangered wildlife by the shape of their footprints, and help run Texas Parks & Wildlife. Now, how about tracking the movements of (and thereby helping
At the Journalism Interactive 2014 conference, Derek Willis spoke about interviewing data, his advice for becoming a data-driven journalist. “The bulk of the skills involved in interviewing people and interviewing data are actually pretty similar,” Willis explained. “We want to get to know it a little bit. We want to figure
For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine
Nonlinear optimization routines enable you to find the values of variables that optimize an objective function of those variables. When you use a numerical optimization routine, you need to provide an initial guess, often called a "starting point" for the algorithm. Optimization routines iteratively improve the initial guess in an
Now, the Star-Belly Sneetches Had bellies with stars. The Plain-Belly Sneetches Had none upon thars. - from "The Sneetches", by Dr. Seuss Recently a user on the SAS-L mailing list had this challenge: "I would like to display stars in a table (created by PROC REPORT) based on variable values.
This is part 3 of a blog series on how Lubbock Independent School District (Lubbock ISD) uses SAS® EVAAS to improve teaching and learning by promoting self-reflection and aiding instructional and administrative decision-making. This is done in a district that, in the past decade, has experienced dramatic increases in the percentage
When teaching statistics, it is often useful to produce a normal density plot with shading under the curve. For example, consider a one-sided hypothesis test. An alpha value of .05 would correspond to a Z-score cutoff of 1.645. This means that 95% of a standard normal curve falls below a
This is part 2 of a blog series on how Lubbock Independent School District (Lubbock ISD) uses SAS® EVAAS to improve teaching and learning by promoting self-reflection and aiding instructional and administrative decision-making. This is done in a district that, in the past decade, has experienced dramatic increases in the
Principle 10: Frequency – The board and senior management (or other recipients as appropriate) should set the frequency of risk management report production and distribution. BCBS 239 “Effective Risk Data Aggregation & Risk Reporting”, released in January of 2013, specifically requires that the bank’s board and senior management should be
In many areas of statistics, it is convenient to be able to easily construct a uniform grid of points. You can use a grid of parameter values to visualize functions and to get a rough feel for how an objective function in an optimization problem depends on the parameters. And
“Technological innovation is no longer a choice: it is an imperative.” So said Scott O’Malia, Commissioner of the Commodity Futures Trading Commission, about trade surveillance during his keynote address at the recent SAS-sponsored New Risk in Energy 2014 conference in Houston. He was attempting, as he has before, to spur
How Internal Communications got into the video business. Everybody loves video. Well, maybe not everybody, but judging by the popularity of YouTube and the ubiquity of Web videos in general, I’d have to conclude that a mighty large chunk of the population loves – or at least likes – it.
Oil companies are being forced to explore in geologically complex and remote areas to exploit more unconventional hydrocarbon deposits. New engineering technology has pushed the envelope of previous upstream experience. No guidebook existed on how computing methodologies can contribute to E&P performance at reduced risk. Until now. A new book
Puede llamarlo transformación, cambio de paradigma, evolución o revolución. No importa qué nombre reciban: en la actualidad, los servicios en la nube están cambiando la realidad de los negocios. La posibilidad y necesidad de acceder a la información desde cualquier sitio, en cualquier momento y con prácticamente cualquier dispositivo, ha
