Search Results - subject:"maximum likelihood estimator"

Who benefits from the procurement financed by Multilateral Development Banks?

Martínez-Galán, Enrique; Proença, Isabel - In: Journal of international development : the journal of … 36 (2024) 1, pp. 43-69

Persistent link: https://www.econbiz.de/10014472562

Reliability for Zeghdoudi distribution with an outlier, fuzzy reliability and application

Belhamra, Thara; Zeghdoudi, Halim; Raman, Vinoth - In: Statistics in transition : an international journal of … 25 (2024) 1, pp. 167-177

This study focuses on estimating reliability P[YX], where Y has a Zeghdoudi distribution with parameter a, X has a Zeghdoudi distribution with one outlier present and parameter c, and the remaining (n - 1) random variables are from a Zeghdoudi distribution with parameter b, in order for X and Y...

Persistent link: https://www.econbiz.de/10015125419

A micro-perspective analysis of the demand for greek and non-Greek yogurt in the United States over calendar years 2018 to 2020

Capps, Oral; Jia, Ruixin; Mishra, Vikas; Ogieriakhi, Macson - In: Journal of agricultural and applied economics : JAEE 56 (2024) 2, pp. 329-351

Persistent link: https://www.econbiz.de/10015046175

Wall Street sneezes and global finance catches a cold : How does geopolitical risk contribute? A tale of tail

Neto, David - In: Finance research letters 73 (2025), pp. 1-7

Persistent link: https://www.econbiz.de/10015211455

A comparison of the method of moments estimator and maximum likelihood estimator for the success probability in the Fibonacci-type probability distribution

Kwon, Yeil - In: Statistics in Transition new series (SiTns) 23 (2022) 3, pp. 27-47

(MME) and maximum likelihood estimator (MLE). The ways both of them performed were compared in terms of the mean squared …

Persistent link: https://www.econbiz.de/10013444144

Poisson area-biased Ailamujia Distribution and its applications in environmental and medical sciences

Aijaz, Ahmad; Ul Ain, S. Qurat; Afaq, Ahmad; Tripathi, … - In: Statistics in Transition new series (SiTns) 23 (2022) 3, pp. 167-184

In this paper, a new Poisson area-biased Ailamujia distribution has been formulated to analyse count data. It was created by combining two distributions: the Poisson and area-biased Ailamujia distributions, using the compounding technique. Several distributional properties of the formulated...

Persistent link: https://www.econbiz.de/10013444152