Abstract: In this paper, we derive exact closed-form expressions for the bivariate Nakagami-m cumulative distribution function (CDF) with positive integer fading severity index m in terms of a class ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Abstract: In this paper, we present novel exact closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the sum of an arbitrary number of ...
Journal of Nuclear Medicine January 2026, jnumed.125.271039; DOI: https://doi.org/10.2967/jnumed.125.271039 ...
Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...
We propose a new framework that addresses endogenous regressors using a novel conditional copula endogeneity model to capture the regressor-error dependence ...
Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia 23529, United States Department of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 128 40 ...
kCenter for Cancer Late Effect Research CASTLE, Department of Oncology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark lDanish Research Center for Equality in Cancer, Department of ...
Statistical models are crucial in comprehending and predicting real-world phenomena. In numerous applications, it becomes necessary to utilize enhanced versions of well-established distributions.
Background The projected increase in extreme heat days is a growing public health concern. While exposure to extreme heat has been shown to negatively affect mortality and physical health, very little ...
Kernel density estimation (KDE) is a non-parametric method to estimate the probability density function of a random variable by taking the summation of kernel functions centered on each data point.
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