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A previous article discusses Cohen's d statistic and how to compute it in SAS. For a two-sample independent design, Cohen's d estimates the standardized mean difference (SMD). Because Cohen's d is a biased statistic, the previous article also computes Hedges' g, which is an unbiased estimate of the SMD. Lastly,
SAS Viya now includes built-in bias mitigation in its machine learning procedures to help users develop ethical and trustworthy AI models by automatically detecting and reducing bias during training.
Experimentation is the engine of innovation. Whether optimizing manufacturing processes, testing new materials, or simulating policy outcomes, the ability to run controlled experiments is essential. Design of experiments (DOE) is a well-established statistical methodology that helps organizations systematically explore the relationships between variables and outcomes. However, traditional DOE has its
SAS is transforming the motor insurance claims process by integrating of tools - blending data management, ML, and UX into 1 complete system.
Fiber plays a crucial role not only in our digestive health but also in overall well-being. It improves heart health, helps manage glucose levels, supports the body's natural detox process, and offers many other benefits. But how do you actually get the recommended amount of 25-30 grams of fiber each
In a world obsessed with AI and algorithms, it’s easy to assume that the biggest challenge in analytics is technical. It’s not. It’s human. How can enterprises nurture a culture that truly uses data-driven decision making? What role do leaders at every level play? And how does targeted education help
What is Cohen's d statistic and how is it used? How can you compute it in SAS? This article gives some history behind Cohen's d statistic. It shows how to compute the statistic in SAS for the difference in means between two independent samples. It shows how to estimate a
SAS Hackathon 2025が間もなく開幕 公式サイトはこちら☞ https://www.sas.com/sas/events/hackathon.html はじめに 課題、テーマや使用データ 課題やテーマ、使用データは参加者ご自身で準備いただきます 2023年の日本からの参加チームは、オープンデータを使用したチーム、普段の自社内の取り組みプロジェクトのデータを使用したチームなどがありました 分析環境や、専門スキルの支援などはSAS側で用意されます コミュニケーションに使用する言語 日本からの参加者をサポートするメンターはSAS Japanから日本語を話す社員が担当する予定ですが、エキスパートや他の参加者との交流は英語になります 成果物に使用する言語 成果物（プレゼン動画やプレゼン資料、アプリケーションなど）は英語になります。昨年の日本からの参加チームはそれぞれ、英語でのプレゼン、無音声英語文字のみのプレゼン、英語機械音声など様々な方法で対応されました 作業場所 オンラインでの約１か月間の作業なので、作業場所は、参加チームそれぞれで確保いただきます 2025 キックオフイベントの様子 ソーシャル メディア プラットフォーム経由で視聴する LinkedIn☞https://www.linkedin.com/events/7333469635326984193/ Youtube☞https://www.youtube.com/live/yp008_MVfF4 SAS Hackathonとは 好奇心は私たちの規範です 素晴らしいアイデアは、どこからでも誰からでも生まれます。さまざまな地域から、さまざまな背景やスキルレベルを持つデータ愛好家が集まると、驚くべきことが起こります。これらの優れた頭脳は、私たちの日常生活、ビジネスのやり方、人道的活動への取り組み方を変えるような新しいものを発明するでしょう。好奇心旺盛な頭脳が協力し合うと、世界が勝利するからです。 特長 仲間のプログラマーと協力する 経験豊富なデータ サイエンティストから初心者の技術者、パートナー、SAS エキスパートまで、誰もがクラウド上の SAS® Viya でオープン ソースを使用します。 無料の学習リソースを活用する トレーニング コースや仮想学習ラボを利用して、AI、クラウド環境、業界に関するコーチングを活用できます。 新しいテクノロジーを簡単に試すことができる SAS ハッカソンは、SAS ユーザーだけでなく、初心者や新規参入者の好奇心を刺激します。Python と R の専門知識を持つオープンソース プログラマーでも、そのスキルを SAS Viya
Let SAS handle the data prep, R take care of the modeling, and skip the environment-hopping so your team can focus on building cool stuff faster.
From transforming online insurance services to combating the opioid epidemic, SAS customers are using data and AI to drive innovation, enhance efficiency and make a positive impact on society. These stories – and more – offer a glimpse into how our customers are shaping the future with SAS. Dive into
SAS provides procedures to fit common probability distributions to sample data. You can use PROC UNIVARIATE in Base SAS or PROC SEVERITY in SAS/ETS software to estimate the distribution parameters for approximately 20 common distributions, including normal, lognormal, beta, gamma, and Weibull. Since there are infinitely many distributions, you may
Dentro de las causas que han generado los gastos recientemente cubiertos por las aseguradoras, se incluyen el año más caluroso jamás registrado y el más mortífero desde 2010, y otros fenómenos que evidencian que el cambio climático se ha convertido en el principal desafío para las aseguradoras a nivel mundial,
IA agêntica aliada a uma nova abordagem vêm para transformar processos que definem a competitividade no setor bancário – mas existem desafios que líderes precisam ter no radar O setor bancário atualmente atravessa um ponto de inflexão tecnológico sem precedentes. E não se trata somente de um projeto de transformação
Foco em capacitação e na transformação cultural estão entre os principais fatores que podem contribuir para a evolução da IA no setor público Quando falamos sobre transformação digital no setor público brasileiro, há duas realidades que parecem caminhar em ritmos diferentes. De um lado temos o entusiasmo pela adoção de
Os dados sintéticos vêm se mostrando uma ótima abordagem para diversos casos de uso e setores de mercado. Hoje, discuto a aderência dessa tecnologia nas seguradoras, principalmente diante do ORSA, nova exigência regulatória da SUSEP. A capacidade de antecipar e gerenciar riscos sempre esteve no centro do negócio das seguradoras.