Results 131 to 140 of about 117,399 (299)

Spline Estimator in Multi-Response Nonparametric Regression Model

Jurnal Ilmu Dasar, 2010
In many applications two or more dependent variables are observed at several values of the independent variables, such as at time points. The statistical problems are to estimate functions that model their dependences on the independent variables, and to
Budi Lestari, Nyoman Budiantara, Sony Sunaryo, Muhammad Mashuri   +3 more
doaj  

MODELING OPEN UNEMPLOYMENT RATE IN KALIMANTAN ISLAND USING NONPARAMETRIC REGRESSION WITH FOURIER SERIES ESTIMATOR

Barekeng
Nonparametric regression is a regression approach that is used to determine the relationship between the response variable and the predictor variable if the shape of the regression curve is unknown.
Rahmania Rahmania, Sifriyani Sifriyani, Andrea Tri Rian Dani   +2 more
doaj   +1 more source

Curve fitting and jump detection on nonparametric regression with missing data. [PDF]

J Appl Stat, 2023
Li Q, Li J, Cheng Y, Zhang R.
europepmc   +1 more source

On the Nonparametric Estimation of Regression Functions

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1977
Summary We consider a nonparametric technique proposed by Priestley and Chao (1972) for estimating an unknown regression function. Conditions for strong convergence and asymptotic normality are discussed. Special consideration is given to the optimal choice of a weighting function.
openaire   +2 more sources

Global Bahadur representation for nonparametric censored regression quantiles and its applications [PDF]

This paper is concerned with the nonparametric estimation of regression quantiles where the response variable is randomly censored. Using results on the strong uniform convergence of U-processes, we derive a global Bahadur representation for the weighted
Yingcun Xia, Oliver Linton, Efang Kong
core  

Tensile Stimulation in Biorelevant Culture Conditions Enhances MSC and TPSC Tenogenesis on Aligned Electrospun Scaffolds

Advanced NanoBiomed Research, EarlyView.
Biomimetic electrospun scaffold incorporating GDF‐7‐loaded mesoporous silica nanoparticles, combined with mechanical stimulation and physiological oxygen tension, guides tenogenic differentiation of mesenchymal stromal cell and tendon progenitor stem cell. This integrated approach enhances cell proliferation, matrix deposition, and tendon‐specific gene
Vera Citro, Aldo R. Boccaccini, Nicholas R. Forsyth, Tina P. Dale   +3 more
wiley   +1 more source

Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications

Mathematics
Shape-restricted regression provides a flexible framework for estimating an unknown relationship between input variables and a response when little is known about the functional form, but qualitative structural information is available. In many practical
Eunji Lim
doaj   +1 more source

Segmental composition and nerve distribution of the brachial plexus in Galictis cuja

The Anatomical Record, EarlyView.
Abstract Galictis cuja is a neotropical mustelid with terrestrial locomotor habits, yet the anatomy of its brachial plexus has remained undescribed. This study characterizes the origin, organization, and distribution of the brachial plexus nerves in 15 adult specimens (30 antimeres).
Natan da Cruz de Carvalho, Thais Mattos Estruc, Ingrid Bete Palmeira, Julia Fagundes Franco, Emillin Reis Bermudez, Paulo de Souza‐Junior, Marcelo Abidu‐Figueiredo   +6 more
wiley   +1 more source

Continuous Sewing Machine‐Like Suture Provides Higher Failure and Yield Load Compared to Traditional Techniques for Meniscal Root Repair in a Biomechanical Porcine Model

Arthroscopy, EarlyView.
Purpose To evaluate the biomechanical performance of the sewing machine‐like suture (SMS) technique against three established techniques (two cinch‐loop (TCL), modified Mason‐Allen (MMA), and double Mason‐Allen (DMA)) for transtibial pull‐out repair of posterior medial meniscal root tear (PMMRT) in a porcine model.
Yizhong Peng, Wenbo Yang, Yi Li, Chunqing Meng, Hong Wang, Wei Huang   +5 more
wiley   +1 more source

Nonparametric Estimate of Regression Coefficients

The Annals of Mathematical Statistics, 1971
1. Summary and introduction. The present investigation is a follow up of [7] to a class of multiple regression problems, and is devoted to the construction of an estimate of regression parameter vector based on suitable rank statistics. Asymptotic linearity of these rank statistics in the multiple regression set up is established and the asymptotic ...
openaire   +2 more sources