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Published in:
2017 | OriginalPaper | Chapter
1. Introduction
Authors : Il Do Ha, Jong-Hyeon Jeong, Youngjo Lee
Published in: Statistical Modelling of Survival Data with Random Effects
Publisher: Springer Singapore
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Abstract
The likelihood, introduced by R.A Fisher (PTRS 222: 309–368, 1922), plays an important role in statistical inference about fixed unknowns, namely parameters. The beauty of the likelihood is that once the statistical model is specified parametrically or nonparametrically, the associated inference procedures for the parameters of interest are straightforward.