Extraction of Information from Crowdsourcing: Experimental Test Employing Bayesian, Maximum Likelihood, and Maximum Entropy Methods

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.net/journal/ojs
E-mail: [email protected]

Citations

"Extraction of Information from Crowdsourcing: Experimental Test Employing Bayesian, Maximum Likelihood, and Maximum Entropy Methods"
written by M. P. Silverman,
published by Open Journal of Statistics, Vol.9 No.5, 2019

has been cited by the following article(s):

[1]	Exact Statistical Distribution of the Body Mass Index (BMI): Analysis and Experimental Confirmation
	Open Journal of Statistics, 2022

[2]	Distribution Estimation of Invasive Species Based on Crowdsourcing Reports
	Open Access Library Journal, 2022

[1]	Maximum Entropy Distribution of Correlated Variables: Application to Human Height and Weight Open Journal of Statistics, 2025 DOI:10.4236/ojs.2025.154020

[2]	Predicting the Path of Insurgency: Data-Driven Strategies to Counter Boko Haram in Nigeria F1000Research, 2024 DOI:10.12688/f1000research.153978.1

[3]	Exact Statistical Distribution of the Body Mass Index (BMI): Analysis and Experimental Confirmation Open Journal of Statistics, 2022 DOI:10.4236/ojs.2022.123022

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