# Questions tagged [geometric-mean]

A measure of central tendency that represents the typical value of a set of numbers when those numbers are thought of as multiplicative in nature.

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### Need advice on acceptable means to convert lower and upper confidence limits of a lognormal distributions to median and geometric standard deviation

I have offered to help convert a monte carlo simulation from guesstimate (a streamlined monte carlo simulation tool) https://www.getguesstimate.com/ to Analytica in order to perform a more in depth ...
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### Geometric mean: Why root instead of divide? [closed]

I use the geometric mean to create standardized ranking between several disparate variables, so I can compare different variables combination: the higher the GM, the higher all the variables will be. ...
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### Geometric mean intuition and interpretation

When simple mean is generally quite an intuitive term, and may be interpreted among others as average value in terms of distance, central value in terms of weight, expected value in terms of ...
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### Geometric mean and geometric standard deviation

When summarizing normalized data (for example, percentage data), one must use the geometric mean instead of the arithmetic mean. Thus, instead of using the arithmetic standard deviation, one shall use ...
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### Compare 2 sets of numbers by Ratio of Geometric means rather than Student t-test

In a medical article published today(!), ratio of geometric means and its confidence interval is used to compare 2 independent groups rather than Student t-test. My specific questions are: What ...
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### Which test should I use to compare three geometric means?

I'm trying to use some test to compare three geometric means of some dataset, to see if there are significant differences. I want to compare A with B, B with C and A with C, but I'm unsure of which ...
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### Most “statistically sound” method for finding the average of multiple different metrics [duplicate]

If I have 3 different metrics and I wanted to find an "average" (not necessarily arithmetic mean) of the 3 metrics so that observations can be ranked, what would be the most "statistically sound" ...
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### What does it mean by “approach the performance of the Bayesian gold standard”?

It is a sentence in Dropout paper(Dropout: A Simple Way to Prevent Neural Networks from Overfitting). "This can sometimes be approximated quite well for simple or small models, but we would like to ...
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### What comes after the geometric mean?

The geometric mean is a multiplicative alternative to the arithmetic mean, which we could call additive mean, thereby calling the geometric mean multiplicative mean. My question is the following: what ...
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### Comparing performance of 2 comparable tests

So I have sets of data, 15 responses for test A and 15 separate responses for test B. Tests A and B have 6 perception questions and the object is to compare the performance of representing data one ...
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### How can we simulate from a geometric mixture?

If $f_1,\ldots,f_k$ are known densities from which I can simulate, i.e., for which an algorithm is available. and if the product $$\prod_{i=1}^k f_i(x)^{\alpha_i}\qquad \alpha_1,\ldots,\alpha_k>0$$ ...
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### Transformation among power-means

It is well-known that arithmetic and geometric mean are strongly related via logarithmic transformation, i.e. if we take arithmetic mean of logarithmic-transformed values we get the same as if we take ...
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### Geometric Mean Standard Error [duplicate]

I read from wikipedia that the geometric standard deviation is $$\sigma_g = \text{exp}\left( \sqrt{\frac{\sum_{i=1}^n\left(\frac{A_i}{\mu_g}\right)^2}{n}}\right)\,,$$ where $\mu_g$ is the geometric ...
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### Robinson's Geometric Mean Test

I am reading this book: Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification by Jonathan A. Zdziarski page 78 is about the Robinsons Geometric Mean Test. This ...
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### Combined standard deviation of geometric series

I have two series of trading profit results. I use the geometric mean to calculate the average in percent (CAGR). I would like to divide it by the standard deviation by combining the two series, but I´...
### Show that the Geometric Mean $g$ can be expressed as $\log g=a+\dfrac{k}{n}\sum_{i=1}^r f_i(i-1)$
In a frequency distribution the upper boundary of each class interval has a constant ratio to the lower boundary. Show that the Geometric Mean $g$ can be expressed as \log g=a+\dfrac{k}{n}\sum_{i=1}...