Skip to main content
main-content

Zeitschrift

Annals of Data Science

Annals of Data Science OnlineFirst articles

25.07.2021

Do Temperature and Humidity Affect the Transmission of SARS-CoV-2?-A Flexible Regression Analysis

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 …

03.07.2021

Action for Action: Mad COVID-19, Falling Markets and Rising Volatility of SAARC Region

The Southern Region has reported a large number of contagious pandemic outbreaks. These epidemics brought threats to human health and resulted in serious economic losses. The COVID-19 is a global virus and has weakened the global financial markets …

30.06.2021

The Zero-Inflated Negative Binomial Semiparametric Regression Model: Application to Number of Failing Grades Data

In this paper we study the performance of college students, measured by the number of failing grades, considering various covariables that can positively or negatively influence this performance. The students in the sample were undergraduate …

21.06.2021

A Class of Bivariate Modified Weighted Distributions: Properties and Applications

In this paper, new bivariate weighted distributions are introduced based on Marshall and Olkin concept, different properties of these distributions are discussed. Moreover, the joint pdf, joint survival function, joint cdf, joint hazard function …

14.06.2021

Moments of Dual Generalized Order Statistics from Topp Leone Weighted Weibull Distribution and Characterization

In this paper, we obtain exact explicit expressions as well as several recurrence relations satisfied by single and product moments of dual (lower) generalized order statistics from Topp-Leone weighted Weibull distribution. These relations are …

Aktuelle Ausgaben

Über diese Zeitschrift

Annals of Data Science (AODS) is a new academic journal focusing on Big Data analytics and applications. It not only promotes how to use interdisciplinary techniques, including statistics, artificial intelligence and optimization, to process Big Data and conduct data mining, but also how to use the knowledge gleaned from Big Data for real-life applications. AODS accepts high-quality contributions on the foundations of data science, technical papers on various challenging problems in Big Data and meaningful case studies concerning business analytics in the context of Big Data.

Weitere Informationen

Premium Partner

    Bildnachweise