Results 71 to 80 of about 2,902,778 (234)
The Relationship Between The Inflation Rate And Inequality Across U.S. States: A Semiparametric Approach [PDF]
, 2018 This paper uses a cross-state panel for the United States over the 1976–2007 period to assess the relationship between income inequality and the inflation rate.
Balcilar, Mehmet +3 more
core +2 more sources
Penalty Strategies in Semiparametric Regression Models
Mathematical and Computational ApplicationsThis study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...
Ayuba Jack Alhassan +3 more
doaj +1 more source
Atmosphere, 2022 Gradually increasing durations of high temperature caused by climate change harm the health of individuals and then lead to death. This study aimed to investigate the relationship between durations of different daily mean air-temperature categories and ...
Xiangyi Zheng +5 more
doaj +1 more source
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
openaire +3 more sources
A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models
Journal of Applied Econometrics, EarlyView.ABSTRACT This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and
Ivan Korolev
wiley +1 more source
JTAM (Jurnal Teori dan Aplikasi Matematika)Regression analysis is one of the statistical methods used to model the relationship between response variables and predictor variables. Semiparametric regression is a combination of parametric and nonparametric regression.
Tiani Wahyu Utami +2 more
doaj +1 more source
Nutrition in Clinical Practice, EarlyView.Abstract Wasting syndrome (WS), also known as unintentional weight loss, is defined as a 5% reduction in body weight over a period of 6–12 months. The mortality associated with WS in older adults has not been adequately explored. The objective of this study was to investigate this relationship in hospitalized older individuals over an 18‐month period ...
Roana Carolina Bezerra dos Santos +7 more
wiley +1 more source
, 2014 This paper considers an estimation of semiparametric functional (varying)-coefficient quantile regression with spatial data. A general robust framework is developed that treats quantile regression for spatial data in a natural semiparametric way.
Cheng, Longsheng +2 more
core +1 more source
Efficient estimation of Banach parameters in semiparametric models [PDF]
, 2005 Consider a semiparametric model with a Euclidean parameter and an infinite-dimensional parameter, to be called a Banach parameter. Assume: (a) There exists an efficient estimator of the Euclidean parameter.
Klaassen, Chris A. J., Putter, Hein
core +3 more sources
Semiparametric Bayesian Regression via Potts Model [PDF]
Journal of Computational and Graphical Statistics, 2017 We consider Bayesian nonparametric regression through random partition models. Our approach involves the construction of a covariate-dependent prior distribution on partitions of individuals. Our goal is to use covariate information to improve predictive inference. To do so we propose a prior on partitions based on the Potts clustering model associated
Murua, Alejandro +1 more
openaire +4 more sources