Multistat

Multistat is a term that is used in the fields of statistics and machine learning. It describes a data analysis method that can determine which features or variables are most significant in predicting a target variable.

Multistat was developed in the 1970s and was used for data analysis in medicine and biology. However, nowadays it is widely used in various fields such as economics, finance, marketing, etc.

The multistat method is based on the idea that each variable in a data set can be related to a target variable in different ways. To determine which variable is most predictive, you need to evaluate how strongly it is related to the target variable and how strongly it is related to all other variables in the data set.

For this, a statistical test called multicollinearity is used. It allows you to determine how strongly two or more variables are related to each other. If two variables have high multicollinearity, this can lead to errors in data analysis and incorrect conclusions.

To avoid this, multistat uses variable selection techniques that select only those variables that have high predictive value for the target variable and low multicollinearity with other variables.

Thus, the multistat is an important tool for data analysis and allows you to obtain more accurate and valid conclusions.

Multiple traffic metering devices or “multostat” (“MFS”, also “stat server” in English-language systems).

A powerful mechanism for mass blocking of IP addresses, or mass recording of traffic, which is used by some commercial Internet providers to combat so-called “clicks” (or “clicking” from the English click) - unfair actions on the part of clients. Provides a function for managing the counter of visited pages for each member of a group of users who visited the site during a specified period. The mechanisms and settings of this limiter are configured by the administrator of each site at his own discretion.

The concept of muldas (Mass download blocking agents) is based on the use of static IP addressing, however, given that in Russia this is not the most common type of addressing for most people, links from dynamic IP are also actively used. The muldas mechanism reduces counting the number of visits to a site to counting the number of unique addresses that are allowed to enter the site. Consistent counting with a given period, comparison of the time period of the last visit, increasing the security threshold in proportion to the appearance of more and more new networks, connecting to another network, etc. makes the multigadis calculator a very flexible tool for the system of determining and limiting the range of cli