June 2016
Beginner to intermediate
398 pages
8h 51m
English
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Summary
From this chapter we learned that the bootstrap can be applied to almost any complex problem, but we also learned that the bootstrap must be adapted for each complex problem. For regression analysis this was done by sampling from residuals instead of the whole data matrix. For times series analysis, the modification of the bootstrap was done by splitting the time series in blocks and resampling within blocks.
We also saw that uncertainty and proper variances can be estimated for data including missing values. This has huge advantages whenever multiple imputation cannot be applied for logistic reasons in a company or organization.
The bootstrap was also applied to complex survey samples drawn with complex survey designs. Here we defined the ...
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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.