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
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
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?
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
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
SAS Model Manager and the sasctl packages aim to create a seamless ModelOps and MLOps process for Python and R models. Python and R models are not second-class citizens within SAS Model Manager. SAS, Python, and R models can be easily managed using our no-code/low-code interface. This is an interface that can be extended to support a variety of use cases.
La tecnología está cambiando la sociedad a un ritmo cada vez más rápido. Su impacto está presente en todos los ámbitos de la vida y su influencia ha afectado desde la forma de trabajar, hasta la forma de comunicarse, divertirse o informarse. Con una sociedad digitalizada y conectada, la administración
데이터 문해력과 SAS Viya 플랫폼 ‘데이터 문해력과 시민 데이터 사이언티스트(이하 CDS)의 필요 역량’이라는 지난번 블로그 포스팅에 이어, 이번에는 데이터 문해력을 기반으로 CDS를 지원하는 기반 플랫폼 ‘SAS Viya’(쌔스 바이야)의 주요 특징들을 살펴보겠습니다. SAS Viya는 인 메모리, MPP 환경과 Cloud Native 등 최신 기술을 기반으로, 분석의 생애 주기인 데이터 접근, 전 처리,
A SAS programmer wanted to use PROC SGPLOT in SAS to visualize a regression model. The programmer wanted to visualize confidence limits for the predicted mean at certain values of the explanatory variable. This article shows two options for adding confidence limits to a scatter plot. You can use a
The acceptance-rejection method (sometimes called rejection sampling) is a method that enables you to generate a random sample from an arbitrary distribution by using only the probability density function (PDF). This is in contrast to the inverse CDF method, which uses the cumulative distribution function (CDF) to generate a random
Don McMillan - America's top nerdy comedian -- is a featured entertainer at SAS Explore, Sept 11-14 in Las Vegas.
I love the world of science because it’s measurable and can be replicated. I’m also a strong believer in natural remedies because they have been documented for centuries and grow on our beautiful Mother Earth...you just have to know what you’re looking for. While I certainly appreciate pharmaceuticals and believe
SoDA를 이용해 쉽게 배우는 데이터 과학 #2 지난 포스팅에서는 SoDA(SAS Ondemand for Academics)의 장점과 필요성을 중심으로 SoDA가 어떤 제품인지 소개해 드렸습니다. 이번 포스팅에서는 ‘서비스 가입 방법’을 알아보겠습니다. 먼저 SoDA가 서비스 되는 브라우저 환경을 알아보고, 이어서 서비스 가입의 각 단계를 살펴보겠습니다. * 편집자 주 : 이번 글은 SAS코리아 컨설팅 본부 한노아
There are dozens of common probability distributions for a continuous univariate random variable. Familiar examples include the normal, exponential, uniform, gamma, and beta distributions. Where did these distributions come from? Well, some mathematician needed a model for a stochastic process and wrote down the equation for the distribution, typically by
Let X be any rectangular matrix. What is the trace of the crossproducts matrix, X'*X? Interestingly, you do not need to form the crossproducts matrix to compute the answer! It turns out that tr(X'*X) equals the sum of the squared elements of X. Theorem: For any matrix, X, the trace
이전에 포스팅했던 시민 데이터 사이언티스트(Citizen Data Scientist, 이하 CDS)에 대한 블로그에서 CDS가 갖춰야 할 기본 역량이 Data Literacy(한글로는 데이터 문해력으로 번역/이하 데이터 문해력)라고 소개했었습니다. 참고로 ‘문해력’이란 단어는 글을 읽고 이해하는 능력을 의미하는데, 데이터를 다룰 때도 마찬가지로 데이터를 읽고 이해하는 능력이 중요하기 때문에 이러한 용어를 사용해도 큰 무리는 없으리라 판단됩니다. 이번
In a previous article, I discussed the Wilcoxon signed rank test, which is a nonparametric test for the location of the median. The Wikipedia article about the signed rank test mentions a variation of the test due to Pratt (1959). Whereas the standard Wilcoxon test excludes values that equal μ0
If you are like me, you spend most of your day sitting. The average adult in the US spends 8-12 hours of their day sitting. Whether you are sitting because your work requires it or you have reduced mobility due to an injury or condition, you can improve overall fitness
Wilcoxon's signed rank test is a popular nonparametric alternative to a paired t test. In a paired t test, you analyze measurements for subjects before and after some treatment or intervention. You analyze the difference in the measurements for each subject, and test whether the mean difference is significantly different
A previous article discusses standardized coefficients in linear regression models and shows how to compute standardized regression coefficients in SAS by using the STB option on the MODEL statement in PROC REG. It also discusses how to interpret a standardized regression coefficient. Recently, a SAS user wanted to know how
A previous article shows an example of a Markov chain model and computes the probability that the system ends up in a terminal state (called an absorbing state). As explained previously, you can often compute exact probabilities for questions about Markov chains. Nevertheless, it can be useful to know how
Mother Nature gives us everything we need. I have heard that statement more than once, especially as a naturopath. We just need to pay attention. When I needed a little calm in my life decades ago, I remember taking walks near my house and seeing passion flowers growing in the
A previous article shows how to model the probabilities in a discrete-time Markov chain by using a Markov transition matrix. A Markov chain is a discrete-time stochastic process for which the current state of the system determines the probability of the next state. In this process, the probabilities for transitioning
A close look at the first of five DevOps ideals in Gene Kim's book, “The Unicorn Project."
I was recently asked to be on the jury for the Asia-Pacific track of the 2023 SAS Hackathon. As many of my colleagues have said before, judging the hackathon is a great experience. We were exposed to lots of innovative ideas about how to apply AI and analytics to a wide
The 2023 International Congress of Actuaries (ICA2023) brought together industry leaders and actuaries worldwide to explore the challenges and opportunities for actuaries. Over the years, SAS has emerged as a variance and regression analysis software, revolutionising the actuarial field. Since then, it has evolved into SAS Viya 4.0, a cloud-native
Given a set of N points in k-dimensional space, can you find the location that minimizes the sum of the distances to the points? The location that minimizes the distances is called the geometric median of the points. For univariate data, the "points" are merely a set of numbers $${p_1,
This July I'm refreshing the previous Strengthening Your Relationship email series from 2021. The email series offers quick ideas and information within three categories: research and insight, questions for closeness, and weekend activity ideas. As I revisit this content I was reminded of the weekly meeting practice I wrote about
While writing an article about labeling a polygon by using the centroid, I almost made a false claim about the centroid. I almost claimed that that the centroid is the point in a polygon that minimizes the sum of the distances to the vertices. It is not. The point that
