Results 51 to 60 of about 30,799 (217)
As the world grapples with sustainable energy and environmental preservation challenges, budgeting for bio‐resilience emerges as a pivotal step toward environmental sustainability.
Zhuangkuo Li +4 more
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Smoothed Weighted Quantile Regression for Censored Data in Survival Analysis
In this study, we propose a smoothed weighted quantile regression (SWQR), which combines convolution smoothing with a weighted framework to address the limitations.
Kaida Cai +3 more
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Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression
Inference in quantile analysis has received considerable attention in the recent years. Linear quantile mixed models (Geraci and Bottai 2014) represent a ?exible statistical tool to analyze data from sampling designs such as multilevel, spatial, panel or
Marco Geraci
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Distribution of the lower quantile point estimate in the two-parameter Weibull distribution
The expression for the distribution density function of the lower quantile point estimate in the two-parameter Weibull distribution has been derived. A method of lower quantile interval estimation has been proposed and then compared to the corresponding ...
Dragoljub M. Brkić
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BeQut: Bayesian Estimation for Quantile Regression Mixed Models [PDF]
Antoine Barbieri +1 more
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A New Three-Parameter Flexible Unit Distribution and Its Quantile Regression Model
This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a unit domain and characterized by three parameters. The PUW distribution is capable of accommodating diverse non-monotone failure rates.
Mustapha Muhammad +5 more
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Suppose independent random samples are taken from k (≥ 2) exponential populations with a common and unknown location parameter “µ” and possibly different unknown scale parameters σ1,σ2,...,σk respectively.
Manas Ranjan Tripathy , Somesh Kumar
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Low-storage quantile estimation
Many different approaches have been taken to the problem of low-storage quantile estimation. One approach is based on stochastic approximation. Others, such as minimax and recursive median, are based on trees. The authors compare their computational properties such as storage demands, the ease and speed of computation, as well as statistical properties
Hurley, Catherine B., Modarres, Reza
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Quantile sieve estimates for time series [PDF]
We consider the problem of estimating the conditional quantile of a time series at time t given observations of the same and perhaps other time series available at time t - 1. We discuss sieve estimates which are a nonparametric versions of the Koenker-Bassett regression quantiles and do not require the specification of the innovation law.
Franke, Jürgen +2 more
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Locally sparse quantile estimation for a partially functional interaction model. [PDF]
Liang W, Zhang Q, Ma S.
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