Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
- как употребляется слово
- частота употребления
- используется оно чаще в устной или письменной речи
- варианты перевода слова
- примеры употребления (несколько фраз с переводом)
- этимология
time varying block - перевод на русский
![The development of the [[boomerang attack]] enabled [[differential cryptanalysis]] techniques to be applied to many ciphers that had previously been deemed secure against differential attacks](https://commons.wikimedia.org/wiki/Special:FilePath/Attaque boomerang.png?width=200 "The development of the [[boomerang attack]] enabled [[differential cryptanalysis]] techniques to be applied to many ciphers that had previously been deemed secure against differential attacks")
![Many block ciphers, such as DES and Blowfish utilize structures known as ''[[Feistel cipher]]s''](https://commons.wikimedia.org/wiki/Special:FilePath/Feistel cipher diagram en.svg?width=200 "Many block ciphers, such as DES and Blowfish utilize structures known as ''[[Feistel cipher]]s''")
![IDEA]].](https://commons.wikimedia.org/wiki/Special:FilePath/Lai Massey scheme diagram en.svg?width=200 "IDEA]].")
![Insecure encryption of an image as a result of [[electronic codebook]] (ECB) mode encoding.](https://commons.wikimedia.org/wiki/Special:FilePath/Tux ecb.jpg?width=200 "Insecure encryption of an image as a result of [[electronic codebook]] (ECB) mode encoding.")
американизм
шлакоблок, стеновой шлакобетонный камень
['blɔk'sistim]
железнодорожное дело
блокировочная система
блокировка
система блокировки
синоним
Википедия
A time-varying covariate (also called time-dependent covariate) is a term used in statistics, particularly in survival analysis. It reflects the phenomenon that a covariate is not necessarily constant through the whole study Time-varying covariates are included to represent time-dependent within-individual variation to predict individual responses. For instance, if one wishes to examine the link between area of residence and cancer, this would be complicated by the fact that study subjects move from one area to another. The area of residency could then be introduced in the statistical model as a time-varying covariate. In survival analysis, this would be done by splitting each study subject into several observations, one for each area of residence. For example, if a person is born at time 0 in area A, moves to area B at time 5, and is diagnosed with cancer at time 8, two observations would be made. One with a length of 5 (5 − 0) in area A, and one with a length of 3 (8 − 5) in area B.
