Discrete-time series analysis of rainfall data

被引：0
|
作者：
Naithani, Ravindra [1 ]
Jawhly, Thaisa [1 ]
Tiwari, Ramesh Chandra [2 ]
机构：
[1] Mizoram Univ, Sch Phys Sci, Dept Phys, Tanhril, Aizawl Mizoramm, India
[2] Mizoram Univ, Dept Phys, Tanhril, Aizawl Mizoramm, India
来源：
2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021) | 2021年
关键词：
Rainfall time series; Binomial distribution; discrete random variable; Probability mass function; Cumulative distribution function;
D O I：
10.1109/ComPE53109.2021.9752347
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This study analyzes the rainfall profile in terms of discrete-time series using a binomial distribution. In the first part of the study, the descriptive statistics of binomial distribution like PMF (Probability Mass Function) and CDF (Cumulative Distribution function), expectation, variance, and standard deviation of a binomial distribution are calculated. In the second part of the analysis, a joint distribution of the binomial random variable is studied to ascertain the independence of Bernoulli's trial sequence.
引用
收藏
页码：576 / 579
页数：4
相关论文
共 50 条
12345