June 2021
Intermediate to advanced
262 pages
6h 8m
English
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About This Book
What Does This Book Cover?
Mixed models, which are an extension of classic statistical linear models (including analysis-of-variance and regression), are one of the most powerful and useful collection of methods for analyzing data from designed experiments. Variations of mixed models have been one of the strongest capabilities of SAS software since its beginnings in the mid 1970s. In parallel, JMP (a SAS product launched in 1989) has evolved into an incredibly powerful and popular tool for scientists and engineers. This book brings together these two legacies, and in example-driven fashion, walks through the core concepts of mixed models and how to best apply them in practice.
Mixed models are largely about how to handle experimental ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.