August 2013
Intermediate to advanced
195 pages
5h 45m
English
Content preview from Nonparametric Methods in Statistics with SAS Applications
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Chapter 8
Resampling Methods for Interval
Estimation
Suppose that observations for a random sample are available. The question of interest
is to estimate a statistic
θ
of the underlying distribution. This statistic may be uni-
variate such as mean, variance, median, mode, or bivariate such as correlation coeffi-
cient. If the underlying distribution is known, then we can apply developed theories
to find a sampling distribution and to give a point estimate and confidence interval
in the parametric setting. However, if nothing is known about the distribution, then
nonparametric methods must be employed. We consider two relevant techniques:
jackknife and bootstrap. ...
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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.