What is an analytical weight?

Analytical weights: An analytical weight (sometimes called an inverse variance weight or a regression weight) specifies that the i _th observation comes from a sub-population with variance σ 2 / wi, where σ 2 is a common variance and wi is the weight of the i _th observation.

How do you use weights in a meta-analysis?

You can also use weights to analyze a set of means, such as you might encounter in meta-analysis or an analysis of means. The weight that you specify for the i _th mean should be inversely proportional to the variance of the i _th sample.

What is the difference between a weighted and unweighted analysis?

Observations that have relatively large weights have more influence in the analysis than observations that have smaller weights. An unweighted analysis is the same as a weighted analysis in which all weights are 1. There are several kinds of weight variables in statistics.

Is a dry weight analysis possible?

If a solution of highly pure enzyme is available, a dry-weight analysis may be possible. Though this should provide an exact value for the enzyme protein content, a great expense in labor and materials has to be devoted to the enzyme purification. Determination of the dry weight of a protein is important for investigations of protein structure.