Results 101 to 110 of about 619,717 (297)

Two-steps variance calibrated estimators with linear and non-linear constraints for mailed surveys with non-response

Alexandria Engineering Journal
This paper proposed a new class of variance estimators that uses a two-step technique with designed weights based on linear and non-linear constraints to handle the presence of non-response in sample surveys.
Ahmed Audu, Maggie Aphane
doaj   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source

Confidence sets in nonparametric calibration of exponential Lévy models [PDF]

Confidence intervals and joint confidence sets are constructed for the nonparametric calibration of exponential Lévy models based on prices of European options.
Jakob Söhl
core  

New efficient calibrated estimators for the population distribution function using two auxiliary variables

Franklin Open
The population distribution function (DF) plays a crucial role in public health; its applications include modeling drug absorption/clearance rates, guiding personalized dosage decisions, and understanding patterns of infectious period durations.
Afsar Basha S.M., Mahamood Usman
doaj   +1 more source

The Efficiency of OLS Estimators of Structural Parameters in a Simple Linear Regression Model in the Calibration of the Averages Scheme

Folia Oeconomica Stetinensia, 2016
A simple linear regression model is one of the pillars of classic econometrics. Multiple areas of research function within its scope. One of the many fundamental questions in the model concerns proving the efficiency of the most commonly used OLS ...
Kowal Robert
doaj   +1 more source

Extrinsic Calibration of Camera Networks Using a Sphere

Sensors, 2015
In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t.
Junzhi Guan, Francis Deboeverie, Maarten Slembrouck, Dirk van Haerenborgh, Dimitri van Cauwelaert, Peter Veelaert, Wilfried Philips   +6 more
doaj   +1 more source

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe, Keizo Sugaya, Kentaro Hayashi, Keiko Hino, Yasuhiro Nakata, Kota Bokuda, Toshio Shimizu, Kazushi Takahashi   +7 more
wiley   +1 more source

Evolving techniques for enhanced estimation: A comprehensive survey of stratified sampling and post-stratification methods

AIP Advances
This comprehensive review delves into the landscape of estimators used in stratified sampling and post-stratification to estimate crucial population parameters, such as mean, median, variance, proportion, and distribution function. This study extensively
G. R. V. Triveni, Faizan Danish, Kassim Tawiah   +2 more
doaj   +1 more source

On Partially Linear Single-Index Models with Missing Response and Error-in-Variable Predictors

Journal of Statistical Theory and Applications (JSTA), 2019
In this paper, we consider a partially linear single-index model when missing responses and nonlinear regressors with measurement error are taken into account.
Tsung-Lin Cheng, Yin-Ying Lin, Xuewen Lu, Radhey Singh   +3 more
doaj   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source