Results 101 to 110 of about 7,599 (306)

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

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

High Order Penalty Functions in Calibration Estimators

, 2018
Use of penalty functions in calibration estimators has severally been considered by this author. A calibration problem is transformed to an unconstrained optimization problem by constructing a penalty function.
Kihara, Pius Nderitu
core  

Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data Discussion

, 2011
We congratulate the authors (henceforth LSD) on a long overdue, detailed review of the connection between the AIPW estimators derived in the incomplete data context via semiparametric theory by Robins, Rotnitzky, and colleagues and the survey calibration
Wild, CJ, Scott, Alastair, Christopher J. Wild, Alastair J. Scott   +3 more
core   +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

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +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

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma, Nathan Pavey, Yukiko Tsuji, Amirul Ab Ghapar, Mehdi A.J. van den Bos, Bronwen Orden, Grace Lee, Linda Mekhael, Julie Ryder, Cláudia Santos Silva, David McDonald, Fakhria Kakar, Con Yiannikas, Matthew C. Kiernan, David A. Brown, Parvathi Menon, Steve Vucic   +16 more
wiley   +1 more source