January 2009
Beginner
264 pages
8h 12m
English
Content preview from Computational Statistics
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Introduction
This introduction to R is intended as course material to be used in a concise course or for
self-instruction. The course is for students with basic knowledge of stochastics. Notions
like distribution function, quantile, expected value and variance are presupposed, as
well as some familiarity with statistical features corresponding to these notions. Only a
condensed summary is included here. Classical distributions, such as binomial, uniform,
and Gaussian should be familiar, together with derived distributions and their asymp-
totic behaviour. An in-depth knowledge of statistics is not required. However, while this
course does cover muc ...
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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.