Results 61 to 70 of about 4,861,455 (309)

ROBUST LEAST MEDIAN OF SQUARE MODELLING USING SEEMINGLY UNRELATED REGRESSION WITH GENERALIZED LEAST SQUARE ON PANEL DATA FOR TUBERCULOSIS CASES

open access: yesBarekeng
Tuberculosis, primarily affecting the lungs and other organs, was the leading cause of death worldwide before the COVID-19 pandemic and continues to be a significant health concern. This research examined tuberculosis (TB) using a panel dataset.
Amanda Adityaningrum   +5 more
doaj   +1 more source

The Logic of Least Squares

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1963
SUMMARY Two alternative modes of developing the logic of the least squares theorem are presented. The first is based on the mean square error, the second on a notion of restricted sufficiency.
openaire   +2 more sources

Local Moving Least Square - One-Dimensional IRBFN Technique: Part I - Natural Convection Flows in Concentric and Eccentric Annuli [PDF]

open access: yes, 2012
In this paper, natural convection flows in concentric and eccentric annuli are studied using a new numerical method, namely local moving least square - one dimensional integrated radial basis function networks (LMLS-1D-IRBFN).
Ngo-Cong, D.   +7 more
core   +1 more source

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques   +5 more
wiley   +1 more source

MENGATASI HETEROSKEDASTISITAS PADA REGRESI DENGAN MENGGUNAKAN WEIGHTED LEAST SQUARE

open access: yesE-Jurnal Matematika, 2015
In the regression analysis we need a method to estimate parameters to fulfill the BLUE characteristic. There are assumptions that must be fulfilled homoscedasticity one of which is a condition in which the assumption of error variance is constant (same),
PUTU AYU MAZIYYA   +2 more
doaj   +1 more source

Uncovering Inequities: The Role of Social Determinants of Health in Hospitalized Adolescents and Young Adults With Heavy Menstrual Bleeding

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres   +6 more
wiley   +1 more source

Ordinary least square (OLS) regression analysis result.

open access: yes, 2023
Ordinary least square (OLS) regression analysis result.
Lewi Goytom Gebrehewet (13955257)   +5 more
core   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito   +7 more
wiley   +1 more source

Implementasi Partial Least Square Dalam Pemodelan Indeks Pembangunan Manusia

open access: yesEuclid, 2019
Kondisi pembangunan manusia di suatu wilayah dapat digambarkan dengan perhitungan Indeks Pembangunan Manusia (IPM). Komponen yang membentuk IPM cenderung memiliki korelasi yang kuat antara satu dan yang lain, kondisi ini sering disebut multikolinieritas.
Andrew Donda Munthe   +1 more
doaj   +1 more source

Faster least squares approximation [PDF]

open access: yesNumerische Mathematik, 2010
Least squares approximation is a technique to find an approximate solution to a system of linear equations that has no exact solution. In a typical setting, one lets $n$ be the number of constraints and $d$ be the number of variables, with $n \gg d$. Then, existing exact methods find a solution vector in $O(nd^2)$ time.
Petros Drineas   +3 more
openaire   +4 more sources

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