Web Reference: 如果只是学习SAS编程,那基本没有任何需要补充的基础知识。 一般人学习SAS都是为了做统计或分析数据,这就需要具备基本的统计学知识。 而显然题主已经具备。 1. 入门书籍 可以参考这个问题: SAS入门书籍有哪些值得推荐? - SAS 入门书籍不用多,选一本适合 ... NVMe、SAS和SATA是三种主流的硬盘接口技术,它们在性能、应用场景和成本上有显著差异。 以下是详细的对比和总结: 一、核心区别对比 ... 二、技术优势详解 1. NVMe(Non-Volatile Memory Express) 优势 : Mar 29, 2026 · 持续更新有效的SAS 9.4 SID文件
YouTube Excerpt: What is missing value imputation and how do you do it? In this SAS How To Tutorial, SAS’ Jeff Thompson explains why you may encounter missing values (“missingness”) and three ways to impute a missing value: 1) Plug in a summary statistic 2) Use a distributional method 3) Build a model using variables that don’t have missing information to predict the variable that is missing He then walks through a few pipeline examples to impute missing values in SAS Model Studio. Download the Data Access the data Jeff’s uses on GitHub: https://github.com/sascommunities/sas-howto-tutorials/tree/master/modelcomparison Content Outline 00:00 – Intro 00:14 – What is missing value imputation? 00:40 – Three reasons you may encounter missing values (“missingness”) 03:02 – Modeling algorithms that can handle missing values 03:27 – Ways to impute a missing value overview 04:46 – Trick: using missing value indicators can give you better predictive models 05:21 – Demo in SAS Model Studio: study the data for missingness 06:48 – Review model pipelines to handle the missing values 06:57 – Pipeline example: No impute; building a model using complete case analysis 14:29 – Pipeline example: Distribution impute 15:59 – Pipeline example: Indicators and default impute 21:23 – Compare the models Other videos from Jeff: ◉ How to compare models in SAS – https://www.youtube.com/watch?v=jRr3yrRKZp4 ◉ Transforming Variables in SAS – https://www.youtube.com/watch?v=zzz1QJlYJq8 Learn more about SAS Software ◉ AI and machine learning courses – https://www.sas.com/en_us/training/programs/aiml-courses.geo.html ◉ Machine Learning Using SAS Viya Training – https://learn.sas.com/course/view.php?id=343 ◉ AI & Machine Learning Professional Training – https://www.sas.com/en_us/training/academy-data-science/ai-machine-learning-certification.html?utm_source=youtube.com&utm_medium=referral&utm_campaign=learn-certification ◉ Learn about Model Studio – https://support.sas.com/en/software/model-studio-support.html ◉ Video: How to Choose a Machine Learning Algorithm with Aurora – https://www.youtube.com/watch?v=-oZcf0QEzYM ◉ SAS Studio Community – https://communities.sas.com/t5/SAS-Studio/bd-p/sas_studio ◉ SAS Solutions for Data Scientists – https://www.sas.com/sas/offers/data-science-experience.html SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_confirmation=1 ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► https://www.linkedin.com/company/sas Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss
What is missing value imputation and how do you do it? In this SAS How To Tutorial, SAS’ Jeff Thompson explains why you may encounter missing...
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