Mean Time Between Failure

In recent times, mean timebetween failure has become increasingly relevant in various contexts. Which "mean" to use and when? So we have arithmetic mean (AM), geometric mean (GM) and harmonic mean (HM). Their mathematical formulation is also well known along with their associated stereotypical examples (e.g., Harmonic mea... How to calculate `mean` and `sd` of lognormal distribution based on ....

Lognormal distribution as below: estimate meanlog 6.0515 sdlog 0.3703 How to calculate the mean and sd of this distribution? mean - How do I calculate confidence intervals for a non-normal .... You can just use a standard confidence interval for the mean: Bear in mind that when we calculate confidence intervals for the mean, we can appeal to the central limit theorem and use the standard interval (using the critical points of the T-distribution), even if the underlying data is non-normal. Mean square error or mean squared error - Cross Validated. In this context, "mean square" -squared -root -Einstein -Relativity (maintaining analogous exclusions for comparability) returns an order of magnitude more, at 3.47 million results.

This (weakly) suggests people favor "mean square" over "mean squared," but don't take this too much to heart: "mean squared" is used in official SAS documentation, for instance. mean - Is Median Absolute Percentage Error useless? I'm working on a project focused on pricing houses. Looking online I see a lot of works and companies providing the performances of their model using the median instead of the mean (see for example mean - "Weighted average" for medians - Cross Validated.

I have data that includes ~20 groups with descriptive stats of median, count, and mean for each of the groups. I know that the means are heavily skewed, and I don't have access to the underlying da... mean - "Averaging" variances - Cross Validated.

I need to obtain some sort of "average" among a list of variances, but have trouble coming up with a reasonable solution. There is an interesting discussion about the differences among the three "Difference of the means" vs "mean of differences". One takes the pairwise difference of each point of data [ the mean of the differences ] and the other takes mean A and subtracts it from mean B [ the difference of the means ]. While the differences can be calculated to come out the same, the confidence intervals for each are different.

I am confused as to which formula to use for which situation. Does it ever make sense to average the median, mean, and mode?. A has the lowest mean and the lowest mode, but the highest average right half of the scores B has the second-highest mean and the most normal distribution C has the most consistent score D has the highest mean, but the second-lowest skew toward the higher scores Would it make sense to average out or otherwise combine a few metrics?

mean - How to explain 1.5 children? This allows us to compare populations (e.g., how does the mean number of children in UK families compare to the mean number of children in German families), and to account for how a population changes over time (e.g., how does the mean number of children in US families this year compare to the mean number of children in US families last year).