Results 21 to 30 of about 15,810,582 (396)
An Extension of the Truncated-Exponential Skew- Normal Distribution
Mathematics, 2021 In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. This distribution is defined as the quotient of two independent random variables whose distributions are the TESN distribution and the beta distribution ...
Pilar A. Rivera +4 more
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COVID-19: Nothing is Normal in this Pandemic
Journal of Epidemiology and Global Health, 2021 This manuscript brings attention to inaccurate epidemiological concepts that emerged during the COVID-19 pandemic. In social media and scientific journals, some wrong references were given to a “normal epidemic curve” and also to a “log-normal curve ...
Luzia Gonçalves +4 more
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Implementasi statistika sebagai alat analisis dalam pengambilan keputusan di bidang pendidikan
Jurnal Inovasi Hasil Pengabdian Masyarakat, 2021 Statistics is a part of mathematics lessons in senior high school XII classes as well as mathematics specialization class XII. A comprehensive understanding of the basic concepts of statistics is needed to convey the material in class. The results of the
Jerhi Wahyu Fernanda, Noer Hidayah
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IEEE Access, 2020 The new-type synchronous condenser uses the uncontrollable and irreversible freewheeling grid-connection mode during the start-up process, so that considerable rates of grid-connection failure could be observed in case of strict grid-connection ...
Yichao Sun +3 more
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Restorative Dentistry & Endodontics, 2013 As discussed in the previous statistical notes, although many statistical methods have been proposed to test normality of data in various ways, there is no current gold standard method.
Hae-Young Kim
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Extended Generalized Sinh-Normal Distribution
Mathematics, 2021 Positively skewed data sets are common in different areas, and data sets such as material fatigue, reaction time, neuronal reaction time, agricultural engineering, and spatial data, among others, need to be fitted according to their features and maintain
Guillermo Martínez-Flórez +2 more
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Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection [PDF]
International Conference on Pattern Recognition, 2020 Anomaly Detection (AD) in images is a fundamental computer vision problem and refers to identifying images and/or image substructures that deviate significantly from the norm.
Oliver Rippel +2 more
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On the Kullback-Leibler divergence between discrete normal distributions [PDF]
Journal of the Indian Institute of Science (2022), 2021 Discrete normal distributions are defined as the distributions with prescribed means and covariance matrices which maximize entropy on the integer lattice support. The set of discrete normal distributions form an exponential family with cumulant function related to the Riemann theta function.
arxiv +1 more source
Lietuvos Matematikos Rinkinys, 1999 In this paper I introduce and consider the new class of distributions – natural widening of normal distribution.
Vaidotas Kanišauskas
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The unintended impact of housing provident fund on income inequality in urban China
China Economic Quarterly International, 2021 We use the China Household Income Project (CHIP) data to evaluate the impact of the Housing Provident Fund (HPF) on income inequality in urban China. We find that urban residents differ significantly in their accessibility to and intensity of utilization
Yunhe Lu, Haiyuan Wan
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