Results 21 to 30 of about 812,319 (279)

Can machine learning correct microwave humidity radiances for the influence of clouds? [PDF]

Atmospheric Measurement Techniques, 2021
A methodology based on quantile regression neural networks (QRNNs) is presented that identifies and corrects the cloud impact on microwave humidity sounder radiances at 183 GHz. This approach estimates the posterior distributions of noise-free clear-sky (
I. Kaur, P. Eriksson, S. Pfreundschuh, D. I. Duncan   +3 more
doaj   +1 more source

Quantile-quantile plots, period 3.

, 2022
Quantile-quantile plots, period 3.
Francisco Cribari-Neto (7578743), Klaus L. P. Vasconcellos (13833696), José Jairo Santana-e-Silva (13833693)   +2 more
core   +1 more source

Arctan-Based Family of Distributions: Properties, Survival Regression, Bayesian Analysis and Applications

Axioms, 2022
In this paper, a new class of the continuous distributions is established via compounding the arctangent function with a generalized log-logistic class of distributions.
Omid Kharazmi, Morad Alizadeh, Javier E. Contreras-Reyes, Hossein Haghbin   +3 more
doaj   +1 more source

Identification of Wiener Model with Internal Noise Using a Cubic Spline Approximation-Bayesian Composite Quantile Regression Algorithm

Complexity, 2020
A cubic spline approximation-Bayesian composite quantile regression algorithm is proposed to estimate parameters and structure of the Wiener model with internal noise.
Tianhong Pan, Wei Guo, Ying Song, Fujia Yin   +3 more
doaj   +1 more source

Quantile-quantile plot for the main mixed model analysis.

, 2022
The quantile-quantile (QQ) plot for the mixed model used in the main analysis in the paper. (TIF)
Stephen N. White (9339075), Holly L. Neibergs (9339078), Ryan D. Oliveira (4594696), Michelle R. Mousel (9952175), Codie J. Durfee (10913942), Michael V. Gonzalez (9411451), Brenda M. Murdoch (9555350), Kimberly M. Davenport (10829757), J. Bret Taylor (4594693)   +8 more
core   +1 more source

Arc-Tangent Exponential Distribution With Applications to Weather and Chemical Data Under Classical and Bayesian Approach

IEEE Access, 2023
This paper introduces the Arctan exponential distribution, a novel two-parameter trigonometric distribution. Various statistical properties of the distribution are examined, including hazard rate functions, cumulative hazard rate functions, mean ...
Laxmi Prasad Sapkota, Arwa M. Alsahangiti, Vijay Kumar, Ahmed M. Gemeay, M. E. Bakr, Oluwafemi Samson Balogun, Abdisalam Hassan Muse   +6 more
doaj   +1 more source

Quantile-quantile (QQ) plots for sex-specific analyses.

, 2023
Quantile-quantile (QQ) plots for sex-specific analyses.
James A. Perry (10515389), Siobhan M. Schabrun (11929656), Susan G. Dorsey (11780093), Kathryn Ward (17174753), Evelina Mocci (374296), Seth A. Ament (9427801), Cynthia Renn (17174756), Angela Starkweather (10581244), Laura S. Stone (9392671)   +8 more
core   +1 more source

Performance Quantile Regression and Bayesian Quantile Regression in Dealing with Non-normal Errors (Case Study on Simulated Data)

Numerical: Jurnal Matematika dan Pendidikan Matematika
This research discusses the performance of quantile regression and Bayesian quantile regression methods. Quantile regression uses parameter estimation by maximizing the value of the likelihood function, while Bayesian quantile regression uses parameter ...
Lilis Harianti Hasibuan, Ferra Yanuar, Vika Pradinda Harahap, Latifatul Qalbi   +3 more
doaj   +1 more source

Impact of mixtures of persistent organic pollutants on breast cancer aggressiveness

Environment International, 2022
Introduction: Breast cancer (BC) is frequent with a poor prognosis in case of metastasis. The role of the environment has been poorly evaluated in its progression.
Louise Benoit, Meriem Koual, Céline Tomkiewicz, Anne-Sophie Bats, Jean-Philippe Antignac, Xavier Coumoul, Robert Barouki, German Cano-Sancho   +7 more
doaj   +1 more source

Distributions of posterior quantiles via matching

Theoretical Economics
We offer a simple analysis of the problem of choosing a statistical experiment to optimize the induced distribution of posterior medians or, more generally, q‐quantiles for any q ∈ (0,1). We show that a single experiment—the q‐quantile matching experiment—implements all implementable distributions of posterior
Kolotilin, Anton, Wolitzky, Alexander
openaire   +3 more sources