This is the third and last introductory article about how to bootstrap time series in SAS. In the first article, I presented the simple block bootstrap and discussed why bootstrapping a time series is more complicated than for regression models that assume independent errors. Briefly, when you perform residual resampling
Over 57 billion minutes of The Office was streamed in 2020. My family bears some responsibility. Here's our activity visualized -- using SAS.
What if you had a technology solution that creates a real-time link between the customer demand signal and what's happening on the ground? What if plans that are being steered centrally could finally be connected to every shipping lane, while simultaneously, creating cost saving carrier adjustments? The first-of-its kind integration
Have you ever heard of the DOLIST syntax? You might know the syntax even if you are not familiar with the name. The DOLIST syntax is a way to specify a list of numerical values to an option in a SAS procedure. Applications include: Specify the end points for bins
The management of the COVID-19 vaccination program is one of the most complex tasks in modern history. Even without the added complications of administering the vaccine during a pandemic, the race to vaccinate the populations who need it most all while maintaining the necessary cold-storage protocols, meeting double dose requirements,
지난해는 전례없는 코로나19 대유행으로 전 세계의 각국 정부 및 기업은 코로나19로 인한 위기를 극복하고자 디지털 트랜스포메이션을 통한 혁신을 가속화한 한 해였습니다. 불확실성 속에 찾아온 2021년, SAS의 여러 전문가들은 2021년 데이터 분석 트렌드를 인공지능(AI), 클라우드, 백신 등의 키워드를 통해 전망했습니다. 2021년 주목해야 할 데이터 분석 8가지 트렌드를 소개합니다. 기업의 임원들이 AI를
SAS가 클라우드 시장 및 타사 애플리케이션 등에 AI 접목을 촉진하기 위해 로우코드/노코드 애플리케이션 배포 및 분석 워크로드 관리 전문 영국 비상장 회사 보엠스카(Boemska)사를 인수했습니다. SAS는 이번 인수로 획득한 기술을 SAS Viya에 적용해 고객의 클라우드 분석 관련 비용을 절감하고, 모델을 모바일 및 엔터프라이즈 앱 등에 이식할 수 있게 될 예정입니다. 이를
SAS Cloud solutions on Azure help banks by delivering reliable stress test results fast.
Many countries in Europe have in previous years experienced increased price competition for general insurance products. Especially in Southern Europe, the competition has been very fierce, fueled by online price comparison websites. In Spain, Portugal and Greece, there has been a substantial drop in average premiums for products like motor,
As I discussed in a previous article, the simple block bootstrap is a way to perform a bootstrap analysis on a time series. The first step is to decompose the series into additive components: Y = Predicted + Residuals. You then choose a block length (L) that divides the total
Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.
From mental health to biodiversity, SAS is committed to using data for social innovation, committing our resources, analytics expertise and software to tackle global issues. It's a vital undertaking, and we can't do it alone -- strategic partnerships are key to these efforts. Here's a quick overview of our top
On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020. The most popular articles often deal
If you've been stuck at home a lot lately, and think you have run out of movies to watch -- think again! Here is a list of big-budget movies you might not have seen, because they flopped (lost lots of money). Follow along as I show you how I created
Trusting myself, my body, my sensations, and my experience has been monumental in helping me sustain active living and well being. Fitness must address the human being, not just the human body and staying well requires me to trust my intuition, my experience, and my own tolerance to challenges. It
For ordinary least squares (OLS) regression, you can use a basic bootstrap of the residuals (called residual resampling) to perform a bootstrap analysis of the parameter estimates. This is possible because an assumption of OLS regression is that the residuals are independent. Therefore, you can reshuffle the residuals to get
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. Infographics are one of the most visual ways to tell stories with data. They are designed to catch the reader’s eye, and they use
Last year, I wrote more than 100 posts for The DO Loop blog. In previous years, the most popular articles were about SAS programming tips, statistical analysis, and data visualization. But not in 2020. In 2020, when the world was ravaged by the coronavirus pandemic, the most-read articles were related
코로나19가 광범위하게 확산되면서 생산활동 중단, 소비 감소, 교역 감소 등 세계 경제에 심각한 타격이 이어지고 있습니다. 이 충격파를 최대한 완화하기 위해 각국 정부는 다양한 재정적 지원을 투입하고 있습니다. 그럼에도 대부분의 기업과 개인은 코로나19로 경제적 어려움을 겪고 있으며, 이로 인해 은행에서는 다음과 같은 과제에 직면하고 있습니다. 여신관리 코로나19의 영향을 가장 크고
지난 글에서는 기존 데이터 분석의 한계와 현업 사용자가 데이터 분석을 해야 하는 이유, 그리고 시티즌 데이터 사이언티스트가 되기 위한 조건을 알아봤습니다. 그렇다면 프로그래밍 기술이나 전문적인 분석 기술에는 능숙하지 않은 현업 사용자가 어떻게 데이터를 분석할 수 있을까요? 전문가 영역이었던 데이터 분석이 일반 현업 사용자로 확대되는 여러 움직임은 오래전부터 있었습니다. 그 가운데
지금처럼 빠르게 변화하는 비즈니스 환경에서 지속적인 성장을 이루기 위해서는 경영진과 분석가, 현업 사용자 등 기업 구성원 모두가 필요한 인사이트를 제때 확보하고, 이를 기반으로 최상의 결정을 내리고, 필요한 조치를 취할 수 있어야 합니다. 누구나 쉽게 데이터를 들여다보고, 탐색하고, 이해하고, 분석할 수 있는 단일화되고 통합된 분석 환경이 필요한 이유입니다. 본 기고문에서는 시티즌
Have you been stuck at home, dreaming up the next big trip you'll take after this pandemic is over? How will you pick a really cool location to visit? Perhaps you can ask your friends for suggestions. My co-worker (and lunch buddy) John recommended the Grand Prismatic Spring. Here's a
May you be healthy, safe, and surrounded by those your love this holiday season! We're looking forward to seeing you in the new year. Until, check out the RFC's Video Library for Kasey's 12 Days of Fit-mas Workout, recordings of our live streamed classes, guided meditations, and crafts and more! Or,
Romania’s energy and utilities market is thriving. The country has a high level of energy independence, thanks to oil and gas reserves in the Black Sea, and there is also activity in the solar energy market. However, many utilities companies are struggling to make appealing offers to customers, and there
In der EU und weltweit nehmen die Fälle von Identitätsdiebstahl von Jahr zu Jahr zu. 2019 stieg die Quote um 18 Prozent auf 223.163 in Großbritannien im Vergleich zum Vorjahr an. Damit fielen 61 Prozent der in der National Fraud Database erfassten Fälle auf den Tatbestand des Identitätsbetruges. Innerhalb von
A good public transportation system is crucial to develop smart cities, particularly in great metropolitan areas. Network optimization algorithms can be applied to better understand urban mobility, particularly based on a multimodal public transportation network.
When you perform a linear regression, you can examine the R-square value, which is a goodness-of-fit statistic that indicates how well the response variable can be represented as a linear combination of the explanatory variables. But did you know that you can also go the other direction? Given a set
Tis the season for my annual, fun Christmas themed blog post! This is the seventh year and my tenth song. I hope you enjoy this 2020 holiday song (to the tune of Rockin' around the Christmas Tree). Hackin around the Decision Tree at the SAS party hackathon Data science algorithms
The Smart Cities movement continues to forge ahead and evolve, led by innovative municipalities of all sizes. One of the towns at the forefront is Cary, North Carolina, adjacent to the Research Triangle Park and home of the SAS world headquarters. Cary Chief Information Officer Nicole Raimundo and her team
Predictive models are a critical component for automated and augmented decision making. As this deployment pattern becomes more widely adopted, two competing priorities emerge. How can we deliver more models faster while being certain of accurate and consistent performance? The key to solving this dilemma is in the automated testing
