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SAS SVP Kimberly May announces the launch of the new SAS Customer Service Portal.
I've written many articles about bootstrapping in SAS, including several about bootstrapping in regression models. Many of the articles use a very general bootstrap method that can bootstrap almost any statistic that SAS can compute. The method uses PROC SURVEYSELECT to generate B bootstrap samples from the data, uses the
El lavado de dinero siempre se ha considerado un mal mayúsculo, pero las cifras actuales son abrumadoras. Al revisar los datos de la Financial Action Task Force (FATF), se revelan pérdidas actuales situadas entre el 2% y el 5% del PIB mundial por este flagelo. El panorama en Colombia, sin
Vivimos en una era de empresas data-driven, como una de las máximas premisas para la toma de buenas decisiones. ¿Pero qué pasa cuando la información nos supera? Si está pensando en Inteligencia Artificial, va por el camino correcto. Según proyecciones de analistas, el planeta generará más de 181 zettabytes de
실무에서 데이터를 다루다 보면 필연적으로 결측 데이터를 만나게 됩니다. 핑계 없는 무덤이 없다는 속담이 있듯, 데이터가 결측인 이유도 정말 다양합니다. 특별한 경우에만 값이 있는 경우, 서버 장애로 관측되지 않은 경우, 응답자가 응답을 거부하는 경우, 데이터 구조가 바뀌면서 새로운 컬럼이 추가된 경우 등등 너무 다양하죠? 오늘 포스팅에서는 이와 같은 결측치를 처리하는
At a time when data has become the center of innovation, the utility industry finds itself at a crossroads. Utilities worldwide are challenged by the ever-increasing demand for efficient energy consumption and the pressing need for sustainability. Balancing these priorities is not easy, nor is it cheap. In 2022, London
Artículo escrito por Violeta Gállego y Oscar Saavedra. Los algoritmos de IA combinados con el histórico de las interacciones son el match perfecto para mejorar tus resultados de ventas. Esto es gracias a la mejora en la personalización de las preferencias de los clientes que nos permiten hacer. ¿Qué es?
Bancos precisarão avançar seus modelos analíticos para se adequar às regras de previsão de perda esperada de crédito e normas internacionais No mercado financeiro, garantir a conformidade às regulamentações é uma constante na vida do tomador de decisão de tecnologia - e o IFRS 9 e a CMN 4.966/21 são
In maternal and newborn health care, a pressing challenge looms large – neonatal sepsis. This dangerous infection claims the lives of countless newborns each year, devastating families and other loved ones. The World Health Organization (WHO) identifies neonatal infections as a leading cause of infant mortality, responsible for nearly a
It's easy to feel pulled in too many directions. Living in the Western world and studying mind/body modalities from an Eastern perspective can often feel like a tug of war. The Western culture is often focused on the pursuit of attainment while the East accentuates “letting go.” As I grew
It has been more than a decade since SAS 9.3 changed the default ODS destination from the old LISTING destination to more modern destinations such as HTML. One of the advantages of modern output destinations is support for Unicode symbols, superscripts, subscripts, and for formatting text by using boldface, italics,
In principle, the best method of mitigating fraud is to set up a strong detection system. A system perceived as unbeatable will mean that potential fraudsters are discouraged from attempting anything and move on to easier targets. The premise of deterrence is that a system that detects fraud and abuse
Today, a business disruption can stem from just about any type of event — a once-in-a-lifetime pandemic, economic pressures, critical skillset shortages or changes in market or investor evaluation criteria. Only resilient companies can ride out the turbulence and quickly bounce back. But with the ongoing pace of change, making
As you read this, someone you know may be in the hospital for an acute illness. Treatments for life-threatening illnesses are often based on a combination of existing protocols and staff experience. And that’s great when hospitals are running smoothly and are adequately staffed. But too often these days, hospitals
In ordinary least squares regression, there is an explicit formula for the confidence limit of the predicted mean. That is, for any observed value of the explanatory variables, you can create a 95% confidence interval (CI) for the predicted response. This formula assumes that the model is correctly specified and
