March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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Introduction
If we need to predict future values for, let's say oil price, we could model the price in terms of other variables (the number of rigs available, the number of companies investing in oil, and so on). These are usually referred to as cross-sectional models.
In the 1970s, many economists realized that these models were ineffective for predicting future values, and a new approach was proposed. The idea was then to use the series' past values to predict the future, in such a way that the model was chosen to mimic the temporal correlation structure as much as possible. For example, if a series had a strong serial correlation of order 1 (meaning that two consecutive values would usually be correlated), we would choose a model that ...
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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.