A Statistical Analysis of Excess Mortality Mean at Covid-19 in 2020-2021
When it comes to making assessments about public health, the mortality rate is a very important factor. The COVID-19 pandemic has exacerbated well-known biases that affect the measurement of mortality, which varies with time and place. The COVID-19 pandemic took the world off surveillance, and since the outbreak, it has caused damage that many would […]
A new Method for Computing and Testing The significance of the Spearman Rank Correlation
To compute and test the significance of the Spearman rank correlation coefficient, the differences between ranks are used, and the Spearman correlation coefficient is used as a test statistic. This study has introduced an efficient rank correlation formula like the method earlier derived by Spearman. The formula is based on a new statistic that depends […]
Short Dynamic Panel Data Models in the Presence of a Higher Frequency Regressor(s)
The study motivates the estimation problem of short dynamic panel data models in the presence of higher frequency regressors where it is required to weigh the regressor series to be at the same frequency of the dependent variable. With the focus on First Difference Generalized Method of Moments (DIF GMM) and System Generalized Method of […]
Remittances and Migrants’ Education: Do Higher-Educated Current Migrants Send More Flow of Remittance? Evidence from Egypt
The relationship between the issue of migration and development has been discussed since the 1980s; The highly skilled migration affects the sending country, in particular, it has been suggested that remittances, as the main positive effect, while the loss of human capital as a main negative effect. Theoretically, there are several reasons to believe that […]
Enhancing Reliability and Accuracy in Stochastic Growth Modeling: Method of Three Selected Points Approach
Growth models play a pivotal role in diverse fields, such as population dynamics, epidemiology, finance, and ecological systems. Traditionally, deterministic growth models have been extensively employed to capture various aspects of growth phenomena. However, in real-world scenarios, stochasticity is inherent in the data, challenging the suitability of deterministic models. Consequently, there is a growing interest […]
Discrete Exponentiated Generalized Family of Distributions
In this paper, exponentiated-G family of distributions is constructed as a new family of discrete distribution, using the general approach of discretization of a continuous distribution. Some statistical properties including quantiles, mean residual life, mean time to failure, mean time between failure, availability, Re ́nyi entropy, moments and order statistics are obtained. Discrete exponentiated inverted […]