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Estimation of the Parameters in a Mixture of Two Normal Distributions and the Generalized Pivotal Quantity Method

open access: yes, 2022
A pivotal quantity is a random variable that is a function of both the random data and the unknown population parameters and whose probability distribution does not depend on any of the unknown parameters. The population parameters here may include nuisance parameters.
Hossain, Md Faruk
core   +3 more sources

Estimation of stress-strength reliability for multicomponent system with a generalized inverted exponential distribution

open access: yesStochastic Models, 2023
Reliability analysis for a multicomponent stress-strength (MSS) model is discussed in this paper. When strength and stress variables follow generalized inverted exponential distributions (GIEDs) with common scale parameters, maximum likelihood estimate ...
Shuo-Jye Wu   +2 more
exaly   +2 more sources
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Simultaneous Quantification of Two Neonicotinoids Using QuEChERS–LC–MS/MS in Moroccan Spearmint (Mentha Spicata.L): Qualimetry of the Method by Uncertainty Estimation Using Generalized Pivotal Quantities Approach and Monte Carlo Simulation

Journal of AOAC International, 2023
Abstract Background Neonicotinoids (NEOs) are used for the phytosanitary treatment of Mentha Spicata.L crops, and this practice requires precise control of these harmful substances at very low concentrations.
Hicham Aaziz   +3 more
openaire   +2 more sources

Estimating sediment entrainment thresholds in gravel-bed rivers with the force balance model: Developing location-general relations for predicting grain pivoting angle, projection and exposure

2020
Conditions for bedload movement are most often described in terms of dimensionless critical shear stress (τc∗), however a key difficulty is accurately estimating τc∗, leading to significant uncertainties with entrainment threshold predictions. One approach to predicting τc∗ is with a force balance which considers the relative magnitude of the forces ...
openaire   +1 more source

Interval Estimates for Probabilities of Non-Perforation Derived From a Generalized Pivotal Quantity

2005
Abstract : A generalized pivotal quantity is developed that yields exact confidence intervals for the cumulative distribution function (CDF) at a specific value when the underlying distribution is assumed to be normal. This problem is similar to the development of a tolerance interval and unsurprisingly, its solution involves the non-central "t ...
openaire   +1 more source

Interval estimation for inverse Gaussian distribution

Quality and Reliability Engineering International, 2021
Xiaofei Wang, Bing Xing Wang, Xin Pan
exaly  

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