Results 31 to 40 of about 20,242 (260)

A Note on Second Order Conditions in Extreme Value Theory: Linking General and Heavy Tail Conditions

open access: yesRevstat Statistical Journal, 2007
Second order conditions ruling the rate of convergence in any first order condition involving regular variation and assuring a unified extreme value limiting distribution function for the sequence of maximum values, linearly normalized, have appeared in
M. Isabel Fraga Alves   +3 more
doaj   +1 more source

Sparse Semi-Parametric Estimation of Harmonic Chirp Signals [PDF]

open access: yesIEEE Transactions on Signal Processing, 2016
In this paper, we present a method for estimating the parameters detailing an unknown number of linear, possibly harmonically related, chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted group-sparsity approach, followed by an iterative relaxation-based refining step, to allow for high ...
Johan Sward   +3 more
openaire   +2 more sources

Fuzzy Semi-Parametric Logistic Quantile Regression Model

open access: yesWasit Journal for Pure Sciences, 2023
In this paper, the fuzzy semi-parametric logistic quantile regression model was studied in the absence of special conditions in the classical regression models.
Ahmed Razzaq, Ayad H. shemaila
doaj   +1 more source

Semi-Parametric Probability-Weighted Moments Estimation Revisited [PDF]

open access: yesMethodology and Computing in Applied Probability, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Caeiro, Frederico Almeida Gião Gonçalves   +2 more
openaire   +3 more sources

Flexible Parametric Accelerated Hazard Model: Simulation and Application to Censored Lifetime Data with Crossing Survival Curves

open access: yesMathematical and Computational Applications, 2022
This study aims to propose a flexible, fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. We call it the accelerated hazard (AH) model.
Abdisalam Hassan Muse   +3 more
doaj   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida   +6 more
wiley   +1 more source

The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators

open access: yesJournal of Statistical Software, 2019
The R package emdi enables the estimation of regionally disaggregated indicators using small area estimation methods and includes tools for processing, assessing, and presenting the results.
Ann-Kristin Kreutzmann   +5 more
doaj   +1 more source

Semi-Parametric Geolocation Estimation In Nlos Environments

open access: yes, 2008
Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
Ulrich Hammes   +2 more
openaire   +2 more sources

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Instrumental Variable Estimation in Semi-Parametric Additive Hazards Models [PDF]

open access: yesBiometrics, 2018
Summary Instrumental variable methods allow unbiased estimation in the presence of unmeasured confounders when an appropriate instrumental variable is available. Two-stage least-squares and residual inclusion methods have recently been adapted to additive hazard models for censored survival data. The semi-parametric additive hazard model
Matthias Brueckner   +2 more
openaire   +4 more sources

Home - About - Disclaimer - Privacy