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Most numerical optimization routines require that the user provides an initial guess for the solution. I have previously described a method for choosing an initial guess for an optimization, which works well for low-dimensional optimization problems. Recently a SAS programmer asked how to find an initial guess when there are
It has been almost a year since then-U.S. CIO Tony Scott introduced the federal open source policy that called for agencies to share federally-developed software source code. The policy, more than anything, aimed to make agencies more agile. Instead of redeveloping the same programs the open source policy would allow
A frequently requested statistical graph is the scatter plot by with discrete categories along with mean value for each category. Searching for a "Scatter with Mean" will return a lot of requests for such a graph in SAS, Stata, R and other statistical software. Such a graph is very easy
Have you ever written a macro and wondered if there was an easy way to pass values to the macro? You can by using macro parameters. Macro parameters enable you to pass values into the macro at macro invocation, and set default values for macro variables within the macro definition.
El aumento de la penetración de la inteligencia artificial en el mundo de los negocios, de forma transversal a las diferentes industrias, ha permitido a las empresas entender y ejecutar prácticas más acertadas en su acercamiento y relación con el cliente al tiempo que optimiza los flujos de trabajo entre
If countries have a similar median age, does that mean they are also similar in other ways? My best guess at an answer is - probably. Perhaps if we plot the data on a map, we'll be able to see the answer more clearly. I first started thinking about this
Regulations, corporate drivers, leadership and market influences have combined to produce a patchwork of uneven progress on initiatives such as distributed generation, customer choice, asset optimization and the industrial Internet of Things. These initiatives all rely on analytics to gain the most return on investment. To better understand organizational readiness
In part 2, Jim Harris explains more about why you should address data quality and governance issues on the way to data lakes and Hadoop.
Ya no se trata de imaginar cosas. Cada día las empresas enfrentan miles de desafíos. Desde decisiones de negocio hasta procesos operativos, pasando por la manera de relacionarse con sus clientes o de preparar los informes de cumplimientos regulatorios o cuidarse de los ataques o fraudes. No son escenarios que
El fraude y los delitos financieros cuestan a los gobiernos millones de dólares al año. Las agencias gubernamentales tienen que buscar más allá de los enfoques tradicionales para combatir estos crímenes cada vez más complejos y comunes. En este sentido y en beneficio de las entidades gubernamentales, la tecnología analítica
When I was in college, I lived in the Alexander dorm, where each room had an American student and an International student. I learned a lot about the rest of the world, and I also heard a lot of different languages being spoken. I'm really impressed when I hear people
There's been a lot of talk in the media lately about the death of retail. Every week, it seems like another retailer announces the closing of stores, acquisitions or even going out of business. Many relate it to the growing competitive landscape with the convenience of online shopping and lure
With busy week nights, some foods don’t make it to the table until the weekend simply due to lack of prep time. But, it’s a shame to narrow some of our favorite foods to only a few nights of the week. So, a quick solution when you’re in time crunch
In a previous article, I showed two ways to define a log-likelihood function in SAS. This article shows two ways to compute maximum likelihood estimates (MLEs) in SAS: the nonlinear optimization subroutines in SAS/IML and the NLMIXED procedure in SAS/STAT. To illustrate these methods, I will use the same data
In SAS Viya 3.2, the Self-Service Import provides a mechanism for a user to import (copy) data into the SAS Cloud Analytic Services (CAS) environment. The data is copied as a .sashdat file into the selected CAS Library location when it is imported. Self-Service Import data can only be imported into