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 ...
Abstract: When prior sample data are limited and the distribution parameters (DP) of random inputs exhibit uncertainty, Bayesian theory can be utilized to update the distribution of DPs and the ...
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 ...
Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...
When reduced-sugar gummy startup Häppy Candy debuted last fall it launched a free sampling campaign online supported by nano-influencers to help drive foot traffic to local retailers, gather consumer ...
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 ...
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 ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
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