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It's no secret that The BFD is a huge fan of Steve Morlidge. Morlidge has contributed work of fundamental importance to our understanding of the practice of business forecasting. His studies of forecast quality exposed the abysmal nature of the practice, including the startling statistic that perhaps 30-50% of real-life
I recently showed how to use simulation to estimate the power of a statistical hypothesis test. The example (a two-sample t test for the difference of means) is a simple SAS/IML module that is very fast. Fast is good because often you want to perform a sequence of simulations over
“El deporte moderno se ha convertido en una gigante base de datos que hay que saber entender para obtener los mejores resultados”, dice Jhon Jairo Osorio, un reconocido periodista deportivo colombiano especializado en ciclismo. Jhon Jairo suele participar como comentarista en las transmisiones que canales de televisión colombianos hacen de
The International Institute of Forecasters and SAS® announce two $10,000 grants to support research on forecasting. Per the announcement: Forecasting research has seen major changes in the theoretical ideas underpinning forecasting effectiveness over the last 30 years. However, there has been less impact on forecasting practice. We aim to put this right.
Lisa Lucas explains why people, knowledge and tech are vital for contact tracing.
Could you pass a test on coronavirus testing terms? Jim Harris can help.
Vivimos en la era de la hiperconectividad, nos comunicamos con el mundo en un entorno cada vez más digital. Y, precisamente, una de las principales consecuencias del COVID-19, al margen de las sanitarias y las socioeconómicas, ha sido una significativa aceleración de la digitalización tanto a nivel individual como empresarial.
Bone broth has been around for centuries, it’s the traditional way to make soup or stew. It just seems like a new thing since many of us don’t tend to make soups or broths from scratch anymore. It has become popular due to its supposed healing properties as well.
As he watched me unpack yet another Amazon delivery, my husband decided to do an intervention. Scattered around me on the floor were solar panels, water purification tablets, tarps, hunting knives and enough batteries to power New York City for many weeks. It was 2019 and hurricane season was upon
SAS' Leonid Batkhan reveals how to change lengths for all character variables in a data set and all data sets in a data library to facilitate data migration to Unicode encoding environment.
A previous article about standardizing data in groups shows how to simulate data from two groups. One sample (with n1=20 observations) is simulated from an N(15, 5) distribution whereas a second (with n2=30 observations) is simulated from an N(16, 5) distribution. The sample means of the two groups are close
As we saw in the last installment, The Confidence Man works by making every assertion -- no matter how ridiculous, heinous, or false -- with extreme confidence. By following this practice, with never a waver or inkling of self-doubt, roughly 40% of people will follow along in adoration. If you
Hidden Markov Models Introduction Statistical models of hidden Markov modeling (HMM) have become increasingly popular in the last several years. The models are very rich in mathematical structures and can form the theoretical basis of many real applications. In the classical continuous/discrete Markov process, each state corresponds to an observed
The most fundamental concept that students learning introductory SAS programming must master is how SAS handles data. This might seem like an obvious statement, but it is often overlooked by students in their rush to produce code that works. I often tell my class to step back for a moment
Katherine Taylor explains how and why new data improves risk models.