In this paper, we consider a skew-generalized inverse Weibull probability distribution for repetitive acceptance sampling plans based on truncated life tests with known shape parameter. The design ...
Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...
Abstract: With the preferable efficiency in storage and computation, hashing has shown potential application in large-scale multimedia retrieval. Compared with traditional hashing algorithms using ...
Abstract: In classical learning methods, sampling is a process of acquiring training data, which can select the representative samples from the original data and offer a solution to some intractable ...
PEPFAR’s computer systems also are being taken offline, a sign that the program may not return, as Republican critics had hoped. By Apoorva Mandavilli The Trump administration has instructed ...
The Central Limit Theorem is a statistical concept applied to large data distributions. It says that as you randomly sample data from a distribution, the means and standard deviations of the samples ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
JOHANNESBURG, Sept 4 (Reuters) - Petredec, a leading liquefied petroleum gas (LPG) company, and South Africa's state-owned logistic firm Transnet have agreed a deal for bulk distribution of LPG using ...
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