ON THE MUTH DISTRIBUTION
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Publication:5011238
DOI10.3846/13926292.2015.1048540zbMath1488.60018OpenAlexW609815802MaRDI QIDQ5011238
M. V. Alba-Fernández, Pedro Jodrá, M. Dolores Jiménez-Gamero
Publication date: 27 August 2021
Published in: Mathematical Modelling and Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3846/13926292.2015.1048540
Probability distributions: general theory (60E05) Other functions defined by series and integrals (33E20) Higher logarithm functions (33B30)
Related Items (9)
An intermediate muth distribution with increasing failure rate ⋮ The Lehmann type II Teissier distribution ⋮ On the discrete analogue of the Teissier distribution and its associated INAR(1) process ⋮ A bivariate Teissier distribution: properties, Bayes estimation and application ⋮ The exponentiated additive Teissier-exponential distribution ⋮ Unnamed Item ⋮ Muth Distribution and Estimation of a Parameter Using Order Statistics ⋮ Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions ⋮ THE POWER MUTH DISTRIBUTION∗
Cites Work
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- Computer generation of random variables with Lindley or Poisson-Lindley distribution via the Lambert \(W\) function
- Uniform convergence and computation of the generalized exponential integrals
- Order statistics: theory \& methods
- Estimating the dimension of a model
- On the Lambert \(w\) function
- The exponential integral distribution
- Bootstrap based goodness-of-fit-tests
- Quantile probability and statistical data modeling
- The Generalized Integro-Exponential Function
- Analysis for the Linear Failure-Rate Life-Testing Distribution
- Order Statistics
- THE MEAN-MEDIAN-MODE INEQUALITY: COUNTEREXAMPLES
- Probability and Statistical Inference, Second Edition
- On a Characterization of Distributions by Expected Values of Extreme Order Statistics
- A new look at the statistical model identification
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