loglikelihoodUnder
LoglikelihoodUnder is a statistical concept used in the context of likelihood functions and hypothesis testing. It refers to the scenario where the likelihood of observed data under a given statistical model is lower than expected. This can occur due to various reasons, such as model misspecification, outliers in the data, or insufficient sample size.
In hypothesis testing, the loglikelihoodUnder is often used to compare the likelihood of the data under the
The term "loglikelihoodUnder" is derived from the natural logarithm of the likelihood function, which is commonly
It is important to note that a lower loglikelihoodUnder does not necessarily mean that the model is
In summary, loglikelihoodUnder is a key concept in statistical modeling and hypothesis testing, providing a measure