Modeling extremal events is not easy: Why the extreme value theorem cannot be as general as the central limit theorem
© Springer International Publishing AG 2017. In many real-life situations, a random quantity is a joint result of several independent factors, i.e., a sum of many independent random variables. The description of such sums is facilitated by the Central Limit Theorem, according to which, under reasona...
Saved in:
Main Authors: | Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva |
---|---|
格式: | Book Series |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012094087&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46740 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Modeling extremal events is not easy: Why the extreme value theorem cannot be as general as the central limit theorem
由: Vladik Kreinovich, et al.
出版: (2018) -
Modeling extremal events is not easy: Why the extreme value theorem cannot be as general as the central limit theorem
由: Kreinovich V., et al.
出版: (2017) -
EXTREME VALUE THEOREMS
由: GONG SHENGLI
出版: (2021) -
DEFINITION AND THEOREMS OF MATCHING IN EXTREMAL GR
由: ZHOU LIBIN
出版: (2021) -
Central Limit Theorems revisited
由: Kundu, S., et al.
出版: (2014)