Results 71 to 80 of about 6,656,167 (244)

SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS

Australian & New Zealand Journal of Statistics, 2009
SummarySemiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more
openaire   +3 more sources

Portfolio‐Level Reliability Analysis of a Multi‐Asset System: A Frailty Proportional Intensity Modeling Framework

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Understanding and modeling the equipment failure behavior is crucial for reducing downtime, optimizing maintenance strategies, and improving operational safety. This challenge becomes particularly critical in industrial contexts involving multi‐asset portfolios, where heterogeneous conditions influence the reliability of individual assets and,
Zeynab Allahkarami, Ahmad Reza Sayadi, Behzad Ghodrati, Ebru Turanoglu Bekar, Anders Skoogh   +4 more
wiley   +1 more source

Computing Nonparametric Functional Estimates in Semiparametric Problems [PDF]

, 1992
The purpose of this note is to provide a brief account of available FORTRAN Routines for computing nonparametric functional estimates, Frequently used in semiparametric problems, evaluated at each data point. Then semiparametric estimates can be computed
Delgado, Miguel A.
core   +1 more source

Financial Inclusion, Energy Transition, and Sustainable Development in Sub‐Saharan Africa: A Distributional Panel Analysis

Sustainable Development, EarlyView.
ABSTRACT Sub‐Saharan Africa (SSA) faces pressing financing and structural transitions to achieve the 2030 Agenda, yet the distributional relationships linking financial inclusion and renewable energy adoption to sustainable development goal (SDG) achievement remain underexplored. This study investigates the roles of multidimensional financial inclusion
Mehdi Seraj, Abdulmajeed Tsowa Muhammad, Turgut Tursoy   +2 more
wiley   +1 more source

Assessing Influence on Partially Varying-coefficient Generalized Linear Model

Revstat Statistical Journal
In this paper we discuss estimation and diagnostic procedures in partially varying-coefficient generalized linear models based in the penalized likelihood function.
Germán Ibacache-Pulgar , Valeria Lira, Cristian Villegas   +2 more
doaj   +1 more source

Bayesian quantile semiparametric mixed-effects double regression models

Statistical Theory and Related Fields, 2021
Semiparametric mixed-effects double regression models have been used for analysis of longitudinal data in a variety of applications, as they allow researchers to jointly model the mean and variance of the mixed-effects as a function of predictors ...
Duo Zhang, Liucang Wu, Keying Ye, Min Wang   +3 more
doaj   +1 more source

Nonparametric and semiparametric methods for economic research [PDF]

, 1992
Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology rather than statistical properties for their own sake. Some empirical applications to economic
Robinson, Peter M., Delgado, Miguel A.
core  

Local Eviction Moratoria and the Spread of COVID‐19

Southern Economic Journal, EarlyView.
ABSTRACT At different stages during the initial onset of the COVID‐19 pandemic, various US states and local municipalities enacted eviction moratoria. One of the main aims of these moratoria was to slow the spread of COVID‐19 infections. We deploy a semiparametric difference‐in‐differences approach with an event study specification to examine whether ...
Julia Hatamyar, Christopher F. Parmeter
wiley   +1 more source

Henderson's method approach to Kernel prediction in partially linear mixed models

Cumhuriyet Science Journal, 2020
In this article, we propose Kernel prediction in partially linear mixed models by using Henderson's method approach. We derive the Kernel estimator and the Kernel predictor via the mixed model equations (MMEs) of Henderson's that they give the best ...
Seçil Yalaz, Özge Kuran
doaj   +1 more source

Regulation, Taxation, and Resources: Unpacking Greenhouse Gas Emission Drivers Across G7 Economies

Thunderbird International Business Review, EarlyView.
ABSTRACT Advanced economies are under growing pressure to downscale greenhouse gas (GHG) emissions without undermining growth, yet G7 (Group of Seven) nations, representing almost 10% of the world's population, still generate one quarter of global GHGs.
Mohammad Imtiaz Hossain, Md Emon Ahmed, Mohammad Fakhrul Islam, Md. Karimul Alam, Mohammad Abdullah Al Mamun, Md Tarique Kazi   +5 more
wiley   +1 more source