Since the publication of the first edition in 2000, there has been an explosive growth of
literature in biopharmaceutical research and development of new medicines. This …

Using normal distribution assumptions, one can obtain confidence intervals for variance
components in a variety of applications. A normal-based interval, which has exact coverage …

In scenarios where the variance of a response variable can be attributed to two sources of
variation, a confidence interval for a ratio of variance components gives information about …

Exact confidence intervals for variance components in linear mixed models rely heavily on
normal distribution assumptions. If the random effects in the model are not normally …

Heritability quantifies the extent to which a physical characteristic is passed from one
generation to the next. From a statistical perspective, heritability is the proportion of the …

This paper considers maximum likelihood (ML) and restricted maximum likelihood (REML)
estimation of regression models with two-dimensional spatial or one-dimensional time …

Confidence intervals for the intraclass correlation coefficient (ρ) are used to determine the
optimal allocation of experimental material in one-way random effects models. Designs that …

The estimation of standard errors is essential to statistical inference. Statistical variability is
inherent within data, but is usually of secondary interest; still, some options exist to deal with …

The variability among data may have quite complex structure and the splitting of variation
into its individual components is important in many areas of applications. In particular, the …

A family of unbiased confidence intervals for a ratio of variance components - ScienceDirect
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