### Some articles on *distributions, distribution*:

Syslog-ng -

... syslog-ng is available on a number of different Linux and Unix distributions ... Some install it as the system default, most provide it as a package that replaces the standard syslogd ...

**Distributions**... syslog-ng is available on a number of different Linux and Unix distributions ... Some install it as the system default, most provide it as a package that replaces the standard syslogd ...

List Of Nonlinear Partial Differential Equations - Methods For Studying Nonlinear Partial Differential Equations - Singularities

... In the linear case one can just use spaces of

... In the linear case one can just use spaces of

**distributions**, but nonlinear PDEs are not usually defined on arbitrary**distributions**, so one replaces spaces of**distributions**by refinements such as Sobolev spaces ...Statistical Interference - Dimensional Interference

... study of actual production, however, may reveal normal

... study of actual production, however, may reveal normal

**distributions**with long tails.) Both the shaft and hole sizes will usually form normal**distributions**with some ... With two such normal**distributions**, a**distribution**of interference can be calculated ... The derived**distribution**will also be normal, and its average will be equal to the difference between the means of the two base**distributions**...Statistical Interference - Physical Property Interference

... With two normal

... With two normal

**distributions**, the statistical interference may be calculated as above ... (This problem is also workable for transformed units such as the log-normal**distribution**) ... With other**distributions**, or combinations of different**distributions**, a Monte Carlo method or simulation is often the most practical way to quantify the effects of statistical interference ...Sample Maximum And Minimum - Applications - Estimation

... they can sometimes prove very good estimators, particularly for platykurtic

... they can sometimes prove very good estimators, particularly for platykurtic

**distributions**, where for small data sets the mid-range is the most efficient ... inefficient estimators of location for mesokurtic**distributions**, such as the normal**distribution**, and leptokurtic**distributions**, however ...