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 ...
Research spanning more than a century suggests children growing up with more books at home perform better in school. What remains unclear is whether access to more books directly improves outcomes or ...
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 ...
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 ...
The clinical significance of isolated diastolic hypertension defined by the 2017 American College of Cardiology/American Heart Association blood pressure (BP) guidelines remains inconsistent. We ...
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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