Translation and analysis of words by ChatGPT artificial intelligence
On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:
- how the word is used
- frequency of use
- it is used more often in oral or written speech
- word translation options
- usage examples (several phrases with translation)
- etymology
fixed-horizon model - translation to russian
![[[Duga radar]] array, near [[Chernobyl]]](https://commons.wikimedia.org/wiki/Special:FilePath/DUGA Radar Array near Chernobyl, Ukraine 2014.jpg?width=200 "[[Duga radar]] array, near [[Chernobyl]]")
![Official coverage of the [[Jindalee Operational Radar Network]]](https://commons.wikimedia.org/wiki/Special:FilePath/JORS.svg?width=200 "Official coverage of the [[Jindalee Operational Radar Network]]")
![antenna]] ''(left)'' reaches a target beyond the horizon by refracting off the [[ionosphere]], and the echo signal from the target ''(right)'' returns to the receiving antenna by the same route.](https://commons.wikimedia.org/wiki/Special:FilePath/OTH-B.big.jpg?width=200 "antenna]] ''(left)'' reaches a target beyond the horizon by refracting off the [[ionosphere]], and the echo signal from the target ''(right)'' returns to the receiving antenna by the same route.")
существительное
общая лексика
загоризонтная РЛС
синоним
математика
модель (планирования эксперимента) с фиксированными уровнями (факторов)
Definition
Wikipedia
In statistics, a fixed effects model is a statistical model in which the model parameters are fixed or non-random quantities. This is in contrast to random effects models and mixed models in which all or some of the model parameters are random variables. In many applications including econometrics and biostatistics a fixed effects model refers to a regression model in which the group means are fixed (non-random) as opposed to a random effects model in which the group means are a random sample from a population. Generally, data can be grouped according to several observed factors. The group means could be modeled as fixed or random effects for each grouping. In a fixed effects model each group mean is a group-specific fixed quantity.
In panel data where longitudinal observations exist for the same subject, fixed effects represent the subject-specific means. In panel data analysis the term fixed effects estimator (also known as the within estimator) is used to refer to an estimator for the coefficients in the regression model including those fixed effects (one time-invariant intercept for each subject).
