Results 21 to 30 of about 19,711 (214)

Gompertz Ampadu Class of Distributions: Properties and Applications

open access: yesJournal of Probability and Statistics, 2022
This paper introduces a new generator family of distributions called the Gompertz Ampadu-G family. Based on the generator, the Lomax distribution was modified into Gompertz Ampadu Lomax.
Abukari Alhassan
doaj   +1 more source

The Marshall-Olkin Extended Unit-Gompertz Distribution: its Properties, Simulations and Applications

open access: yesStatistica, 2023
In this paper, a newbounded generalization of the unit-Gompertz distribution called the Marshall-Olkin extended unit-Gompertz distribution (MOEUGD) is introduced.
Festus Chukubogu Opone   +2 more
doaj   +1 more source

Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]

open access: yes, 2003
This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas   +2 more
core   +2 more sources

The structural properties of the Gompertz-two-parameter-Lindley distribution and associated inference

open access: yesOpen Mathematics, 2022
In this article, we propose a Gompertz-two-parameter-Lindley distribution by mixing the frailty parameter of the Gompertz distribution with a two-parameter Lindley distribution. The structural properties of the model, such as shape properties, cumulative
Ou Xionghui, Lu Hezhi, Kong Jingsen
doaj   +1 more source

The gompertz exponential pareto distribution with the properties and applications to bladder cancer and hydrological datasets

open access: yesCommunications in Science and Technology, 2021
Many existing distributions in literatures does not have the modeling fits capacity to adequately describe the real-life phenomena. The Exponential Pareto (EP) distribution has further gained some generalizations among several authors using different ...
Adewunmi Olaniran Adeyemi   +2 more
doaj   +1 more source

Statistical Inference for Partially Observed Markov Processes via the R Package pomp [PDF]

open access: yes, 2015
Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis.
Ionides, Edward L.   +2 more
core   +4 more sources

Droplet-based digital antibiotic susceptibility screen reveals single-cell clonal heteroresistance in an isogenic bacterial population [PDF]

open access: yes, 2020
Since antibiotic resistance is a major threat to global health, recent observations that the traditional test of minimum inhibitory concentration (MIC) is not informative enough to guide effective antibiotic treatment are alarming.
Debski, Pawel R.   +9 more
core   +1 more source

A Gompertz distribution for time scales

open access: yesTURKISH JOURNAL OF MATHEMATICS, 2021
Summary: We investigate a family of probability distributions, with three parameters associated with the dynamic Gompertz function. We prove its existence for various parameter sets and discuss the existence of its time scale moments. Afterwards, we investigate the special case of discrete time scales, where it is shown that the discrete Gompertz ...
Tom CUCHTA   +2 more
openaire   +2 more sources

Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]

open access: yes, 2003
Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Bender, R.   +4 more
core   +2 more sources

Marshal Olkin Marshal Olkin gompertz distribution [PDF]

open access: yesAIP Conference Proceedings, 2021
The aim of this paper is to propose a new flexible compound distribution named Marshal Olkin Marshal Olkin Gompertz (MOMOGo) distribution. Reliability characteristics besides several statistical properties of the proposed distribution have discussed. The maximum likelihood method, under a complete sample, is used to estimate the distribution parameters.
Al-Noor, Nadia Hashim   +1 more
openaire   +2 more sources

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