The Fréchet Topp Leone-G Family of Distributions: Properties, Characterizations and ApplicationsAnnals of Data Science - Tập 8 - Trang 345-366 - 2019
Hesham Reyad, Mustafa Ç. Korkmaz, Ahmed Z. Afify, G. G. Hamedani, Soha Othman
A new family of continuous distributions which ensure model flexiblity, is introduced based on the Fréchet distribution and Topp Leone-G family. Two special sub-models of the new family are discussed. We provide some distributional properties of this family in the general setting such as the series expansions of density, moments, generating function, stress strength model, Rényi and Shannon entrop...... hiện toàn bộ
Understanding Environmental Changes Using Statistical MechanicsAnnals of Data Science - Tập 7 - Trang 599-611 - 2019
M. Selim Mahbub, Paulo de Souza, Ray Williams
We present results for Shannon entropy from environmental data, such as air temperature, relative humidity, rainfall and wind speed. We use hourly generated time-series hydrological model data covering the whole of Tasmania, a state of Australia, and employ concepts from statistical mechanics in our calculations. We also present enthalpy and heat capacitance equivalent quantities for the environme...... hiện toàn bộ
Feature Selection in Imbalanced DataAnnals of Data Science - Tập 10 - Trang 1527-1541 - 2022
Firuz Kamalov, Fadi Thabtah, Ho Hon Leung
The traditional feature selection methods are not suitable for imbalanced data as they tend to be biased towards the majority class. This problem is particularly acute in the field of medical diagnostics and fraud detection where the class distribution is highly skewed. In this paper, we propose a novel filter approach using decision tree-based
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Impact of COVID-19 on Stock Indices Volatility: Long-Memory Persistence, Structural Breaks, or Both?Annals of Data Science - - Trang 1-28 - 2022
Abdinardo Moreira Barreto de Oliveira, Anandadeep Mandal, Gabriel J. Power
The onset of the COVID-19 pandemic has increased volatility in financial markets, motivating researchers to investigate its impact. Some use the GARCH family of models to focus on long-memory persistence, while others use Markov chain models to better identify structural breaks and regimes. However, no study has addressed the occurrence of these two phenomena in a unified framework. Since both are...... hiện toàn bộ
Parameter Estimation for the Exponentiated Kumaraswamy-Power Function Distribution Based on Order Statistics with ApplicationAnnals of Data Science - Tập 8 - Trang 785-811 - 2019
Devendra Kumar, Neetu Jain, Mazen Nassar, Osama Eraki Abo-Kasem
Exponentiated Kumaraswamy-power function (EKPF) distribution has been proposed recently by Bursa and Ozel (Hacet J Math Stat 46:277–292, 2017) as a quite flexible in terms of probability density and hazard rate functions than power function distribution. In this paper, we obtain the explicit expressions for the single, double (product), triple and quadruple moments and moment generating function f...... hiện toàn bộ
Factor Space: The New Science of Causal RelationshipAnnals of Data Science - Tập 9 - Trang 555-570 - 2022
Yanke Bao, Ying Wang
In 2018, Pearl launched a big criticism of the causal scientific ban announced by Pehrson a hundred years ago, which has attracted great attention of scientific community, especially artificial intelligence. What is the importance of its criticism? Why not allow statisticians to explore causality? What is the mystery of causality? How does artificial intelligence play the feature of causal researc...... hiện toàn bộ