Results 41 to 50 of about 2,902,778 (234)

Comparing parametric and semiparametric error correction models for estimation of long run equilibrium between exports and imports

Apstract: Applied Studies in Agribusiness and Commerce, 2017
This paper introduces the semiparametric error correction model for estimation of export-import relationship as an alternative to the least squares approach.
Henry De-Graft Acquah, Lawrence Acheampong   +1 more
doaj   +1 more source

Bayesian semiparametric regression [PDF]

, 2012
We consider Bayesian estimation of restricted conditional moment models with linear regression as a particular example. The standard practice in the Bayesian literature for semiparametric models is to use flexible families of distributions for the errors and assume that the errors are independent from covariates.
  +6 more sources

Copula-based semiparametric regression method for bivariate data under general interval censoring.

Biostatistics, 2019
This research is motivated by discovering and underpinning genetic causes for the progression of a bilateral eye disease, age-related macular degeneration (AMD), of which the primary outcomes, progression times to late-AMD, are bivariate and interval ...
Tao Sun, Ying Ding
semanticscholar   +1 more source

Spline Truncated Estimator in Multiresponse Semiparametric Regression Model for Computer based National Exam in West Nusa Tenggara

IOP Conference Series: Materials Science and Engineering, 2019
Multiresponse semiparametric regression model is a combination of parametric regression model and nonparametric regression model with response variables more than one and correlate. The estimate used in estimate the parameters is spline truncated. Excess
Lilik Hidayati, N. Chamidah, Nyoman I Budiantara   +2 more
semanticscholar   +1 more source

Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data

Stats, 2022
Panel count data often occur in a long-term recurrent event study, where the exact occurrence time of the recurrent events is unknown, but only the occurrence count between any two adjacent observation time points is recorded.
Chunling Wang, Xiaoyan Lin
doaj   +1 more source

Semiparametric Additive Regression

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1992
SUMMARY A simple estimator for β is proposed for the model y = x'β + g(t)+ error, g smooth but unknown. The approach is to approximate the estimating equation obtained from a ***semiparametric likelihood and in the simplest case reduces to minimizing the distance between the 'pseudoresiduals' y - x'β and a local linear cross-validated ...
openaire   +2 more sources

Semiparametric regression based on three forms of trigonometric function in fourier series estimator

Journal of Physics: Conference Series, 2019
The semiparametric regression is one of the three forms of regression analysis which is made up of parametric and nonparametric. While the parametric is based on linear estimator, this nonparametric component is an innovation.
M. F. F. Mardianto, E. Tjahjono, M. Rifada   +2 more
semanticscholar   +1 more source

Right-Censored Time Series Modeling by Modified Semi-Parametric A-Spline Estimator

Entropy, 2021
This paper focuses on the adaptive spline (A-spline) fitting of the semiparametric regression model to time series data with right-censored observations.
Dursun Aydın, Syed Ejaz Ahmed, Ersin Yılmaz   +2 more
doaj   +1 more source

Nonparametric and semiparametric regression estimation for length-biased survival data. [PDF]

Lifetime Data Anal, 2017
Shen Y, Ning J, Qin J.
europepmc   +2 more sources

Semiparametric regression for the weighted composite endpoint of recurrent and terminal events. [PDF]

Biostatistics, 2016
Mao L, Lin DY.
europepmc   +2 more sources