Results 21 to 30 of about 5,704 (194)
Semiparametric Regression in Capture–Recapture Modeling [PDF]
Biometrics, 2006 SummaryCapture–recapture models were developed to estimate survival using data arising from marking and monitoring wild animals over time. Variation in survival may be explained by incorporating relevant covariates. We propose nonparametric and semiparametric regression methods for estimating survival in capture–recapture models.
Gimenez, Olivier +4 more
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GEOGRAPHICALLY WEIGHTED PANEL LOGISTIC REGRESSION SEMIPARAMETRIC MODELING ON POVERTY PROBLEM
Media Statistika, 2023 Regression analysis is a statistical method used to investigate and model the relationship between variables. Furthermore, a regression analysis was developed that involved spatial aspects, namely Geographically Weighted Regression (GWR).
Aliyah Husnun Azizah +3 more
doaj +1 more source
ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES [PDF]
Australian & New Zealand Journal of Statistics, 2008 SummaryAn exposition on the use of O'Sullivan penalized splines in contemporary semiparametric regression, including mixed model and Bayesian formulations, is presented. O'Sullivan penalized splines are similar to P‐splines, but have the advantage of being a direct generalization of smoothing splines. Exact expressions for the O'Sullivan penalty matrix
Wand, M., Ormerod, J. T.
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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 +1 more
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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 ...
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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 +2 more
doaj +1 more source
Stroke Research and Treatment, 2022 Introduction. Every year worldwide, between five to six million deaths are associated with stroke; on average, one stroke-related death occurs every four minutes.
Dereje Gebeyehu Ababu +1 more
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MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH
Barekeng, 2023 Poverty is an economic problem faced by all countries in the world, including Indonesia. Poverty is seen as the inability of a person from an economic standpoint to meet basic food and non-food needs as measured from the expenditure side.
Idrus Syahzaqi +2 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source