The Odd Weibull Inverse Topp-Leone Distribution with Applications to COVID-19 Data [0.03%]
应用于COVID-19数据的奇韦布利逆拓普-莱昂分布
Ehab M Almetwally
Ehab M Almetwally
This paper aims at defining an optimal statistical model for the COVID-19 distribution in the United Kingdom, and Canada. A combining the inverted Topp-Leone distribution and the odd Weibull family introduces a new lifetime distribution wit...
Data Analysis of COVID-19 Hospital Records Using Contextual Patient Classification System [0.03%]
基于上下文患者分类系统的COVID-19医院记录数据分析
Vrushabh Gada,Madhura Shegaonkar,Madhura Inamdar et al.
Vrushabh Gada et al.
Humanity today is suffering from one of the most dangerous pandemics in history, the Coronavirus Disease of 2019 (COVID-19). Although today there is immense advancement in the medical field with the latest technology, the COVID-19 pandemic ...
The Exponentiated Gumbel-Weibull {Logistic} Distribution with Application to Nigeria's COVID-19 Infections Data [0.03%]
带有逻辑分布的指数Gumbel-Weibull{ logistic }分布及其在尼日利亚COVID-19感染数据中的应用
Patrick Osatohanmwen,Eferhonore Efe-Eyefia,Francis O Oyegue et al.
Patrick Osatohanmwen et al.
A new flexible univariate probability distribution was defined in this paper. The new distribution is so called the 'exponentiated Gumbel-Weibull {logistic} distribution' and it arose by using the exponentiated Gumbel distribution to genera...
Rakhal Das,Anjan Mukherjee,Binod Chandra Tripathy
Rakhal Das
The contemporary situation of the world is very pathetic due to the spread of COVID-19. In this article, we have prepared a decision making model on COVID-19 pandemic patients with the help of the neutrosophic similarity measures. The model...
Modeling of COVID-19 Cases in Pakistan Using Lifetime Probability Distributions [0.03%]
利用寿命概率分布模型预测巴基斯坦新冠肺炎病例数量
Muhammad Ahsan-Ul-Haq,Mukhtar Ahmed,Javeria Zafar et al.
Muhammad Ahsan-Ul-Haq et al.
The Coronavirus Disease (COVID-19) is a respiratory disease that caused a large number of deaths all over the world since its outbreak. The World Health Organization (WHO) has declared the outbreak a global pandemic. The understanding of th...
Do Temperature and Humidity Affect the Transmission of SARS-CoV-2?-A Flexible Regression Analysis [0.03%]
温度和湿度会对SARS-CoV-2的传播产生影响吗？一种灵活的回归分析方法
Md Rezaul Karim,Mst Bithi Akter,Sejuti Haque et al.
Md Rezaul Karim et al.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus that causes Coronavirus disease 2019 (COVID-19). Temperature and humidity are two essential factors in the transmission of SARS-CoV-2 affect the re...
Construction of Confidence Interval for a Univariate Stock Price Signal Predicted Through Long Short Term Memory Network [0.03%]
基于长短期记忆网络预测的股票价格信号的置信区间构造
Shankhajyoti De,Arabin Kumar Dey,Deepak Kumar Gouda
Shankhajyoti De
In this paper, we show an innovative way to construct bootstrap confidence interval of a signal estimated based on a univariate LSTM model. We take three different types of bootstrap methods for dependent set up. We prescribe some useful su...
Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning [0.03%]
用于预测密集型人口国家新冠肺炎疫情的机器学习模型
Aman Khakharia,Vruddhi Shah,Sankalp Jain et al.
Aman Khakharia et al.
The Coronavirus Disease-2019 (COVID-19) pandemic persists to have a mortifying impact on the health and well-being of the global population. A continued rise in the number of patients testing positive for COVID-19 has created a lot of stres...
Comparing Artificial Neural Network Architectures for Brazilian Stock Market Prediction [0.03%]
用于巴西股市预测的人工神经网络架构比较
Suellen Teixeira Zavadzki de Pauli,Mariana Kleina,Wagner Hugo Bonat
Suellen Teixeira Zavadzki de Pauli
Prediction of financial time series is a great challenge for statistical models. In general, the stock market times series present high volatility due to its sensitivity to economic and political factors. Furthermore, recently, the covid-19...
Monitoring Novel Corona Virus (COVID-19) Infections in India by Cluster Analysis [0.03%]
印度新型冠状病毒(COVID-19)感染的聚集分析监测
Sanjay Kumar
Sanjay Kumar
It is a great challenge of identification as well as formation of groups of infectious disease data set. Data mining, a process of uncovering silent characteristics of big data is one of such techniques which have nowadays become more popul...