Modeling Rainfall and Groundwater level data Using Time-varying copula models
Non-stationary data are often created when the observations of a study are collected sequentially in a time-dependent structure. In such a case, there will usually be a time trend with abrupt changes in the average or/and variance of the observations, which indicates that the data is non-stationary....
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
University of Isfahan
2024-07-01
|
| Series: | ریاضی و جامعه |
| Subjects: | |
| Online Access: | https://math-sci.ui.ac.ir/article_28524_67028d7f16b54131ed7e3b0d83e345c7.pdf |