The Continuous Bernoulli Distribution: Mathematical Characterization, Fractile Regression, Computational Simulations, and Applications

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(5), P. 386 - 386

Published: May 6, 2023

The continuous Bernoulli distribution is defined on the unit interval and has a unique property related to fractiles. A fractile position probability density function where corresponding surface fixed proportion. This article presents derivation of properties formulates or quantile regression model for response using exponentiated distribution. Monte Carlo simulation studies evaluate performance point estimators both model. Real-world datasets from science education are analyzed illustrate modeling abilities

Language: Английский

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Can the digital economy contribute to rural revitalization? A case of from China?

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0310313 - e0310313

Published: Oct. 7, 2024

This study establishes a multi-dimensional evaluation index system for measuring digital economy and rural revitalization. It explores the impact of on China’s revitalization its mechanism using dynamic balanced panel data 30 provinces cities in China from 2012 to 2020 adopting two-way fixed effect mediated models. The results reveal that promotes China; however, differences exist industrial prosperity, ecological livability, civilized customs, effective governance, affluent living under Heterogeneity analysis shows is more pronounced eastern China, with high levels new urbanization areas big-data experimentation. In addition, this thesis verifies technological innovation human capital are two important transmission paths through which affects China. conclusions provide theoretical guidance practical support other developing countries vigorously develop their economies comprehensively revitalize countryside.

Language: Английский

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A new quantile regression model for bounded responses with applications

Computational Statistics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Language: Английский

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The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications

Soft Computing, Journal Year: 2022, Volume and Issue: 27(1), P. 279 - 295

Published: July 27, 2022

Language: Английский

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A survey of statistical and machine learning methods of quantile regression in time series and their suitability in predicting dengue outbreaks

Japanese Journal of Statistics and Data Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Language: Английский

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Parametric quantile regression based on the inverse Gaussian distribution

Journal of Statistical Computation and Simulation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 10, 2025

Language: Английский

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Impact of healthcare-associated infection on healthcare services and survival of patients with cancer: a propensity score-matched retrospective study

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 1, 2025

Healthcare-associated infections (HAI) lead to poor patient outcomes, including morbidity, mortality, length of hospital stay (LOS) and costs. However, limited data exists on the impact HAI LOS, cost at different quantiles survival patients with cancer. To assess HAIs costs, cancer patients. This retrospective cohort study used from January 2017 December 2018 a tertiary in Henan. Patient demographic were sourced hospital's electronic medical records. Inclusion criteria primary diagnoses (ICD codes C00-C97). We balanced distribution baseline characteristics between without using propensity score matching. Quantile regression can estimate how independent variables affect dependent quantiles. conducted quantile that assessing LOS costs for Kaplan-Meier curves compare survival. Our included 291,535 cancer, among whom 4,784(1.6%) diagnosed 286,748 not. Patients exhibited significantly longer stays, mean duration 26.1 days (range: 17.0 40.6 days), compared their counterparts HAIs, who had an average 7.2 4.0 14.0 days) (p < 0.01). Economically, hospitalization was $1575.8 865.6 3106.3), substantially lower than $8710.8 $4073.8 13434.0) observed After adjusting confounders models, associated median increase 11.4 (95% confidence interval (CI): 10.9-12.0) excess USD 3449.3 CI: 3281.9-3616.7). The hazard ratio (HR) death higher (HR: 1.62, 95% 1.50-1.74). prolongs increases worsens other diseases. results indicate is more pronounced (e.g., 95th percentile). suggests severe conditions or advanced disease stages are vulnerable adverse effects HAI. Targeted surveillance preventive interventions, such as early infection screening strict adherence control protocols, should focus high-risk prolonged high By preventing these patients, we effectively reduce additional burden LOS. informs clinical practice decision-making nurses nursing educators manage healthcare professionals helped collection Hospital.

Language: Английский

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Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: A gamlss approach

Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02673 - e02673

Published: April 1, 2025

Language: Английский

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Vasicek Quantile and Mean Regression Models for Bounded Data: New Formulation, Mathematical Derivations, and Numerical Applications

Mathematics, Journal Year: 2022, Volume and Issue: 10(9), P. 1389 - 1389

Published: April 21, 2022

The Vasicek distribution is a two-parameter probability model with bounded support on the open unit interval. This allows for different and flexible shapes plays an important role in many statistical applications, especially modeling default rates field of finance. Although its density function resembles some well-known distributions, such as beta Kumaraswamy models, has not been considered to analyze data interval, when we have, addition response variable, one or more covariates. In this paper, propose estimate quantiles means, conditional covariates, assuming that variable distributed. Through appropriate link functions, two regression models interval are formulated: considers quantile parameterization another original parameterization. Monte Carlo simulations provided assess properties maximum likelihood estimators, well coverage probability. An R package developed by authors, named vasicekreg, makes available results present investigation. Applications real sets conducted illustrative purposes: them, outperforms based Johnson-SB, Kumaraswamy, unit-logistic, unit-Weibull whereas second one, mean fits obtained simplex distributions. Our investigation suggests regressions can be practical usage alternatives analyzing

Language: Английский

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Modeling Income Data via New Parametric Quantile Regressions: Formulation, Computational Statistics, and Application

Mathematics, Journal Year: 2023, Volume and Issue: 11(2), P. 448 - 448

Published: Jan. 14, 2023

Income modeling is crucial in determining workers’ earnings and an important research topic labor economics. Traditional regressions based on normal distributions are statistical models widely applied. However, income data have asymmetric behavior best modeled by non-normal distributions. The objective of this work to propose parametric quantile two distributions: Dagum Singh–Maddala. proposed regression reparameterizations the original inserting a parameter. We present reparameterizations, properties distributions, with their inferential aspects. proceed Monte Carlo simulation studies, considering performance evaluation maximum likelihood estimation analysis empirical distribution types residuals. results show that both meet expected outcomes. apply household set provided National Institute Statistics Chile. good model fitting. Thus, we conclude obtained favor Singh–Maddala for positive asymmetrically distributed related incomes. economic implications our investigation discussed final section. Hence, proposal can be valuable addition tool-kit applied statisticians econometricians.

Language: Английский

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