Results 131 to 140 of about 27,081 (245)

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

open access: yesTeaching Statistics, Volume 48, Issue 3, Page 185-197, Autumn (Fall) 2026.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti   +1 more
wiley   +1 more source

Higher-Order Kernel Semiparametric M-Estimation of Long Memory [PDF]

open access: yes
Econometric interest in the possibility of long memory has developed as a flexible alternative to, or compromise between, the usual short memory or unit root prescriptions, for example in the context of modelling cointegrating or other relationships and ...
Peter M Robinson, Marc Henry
core  

Trade Sophistication and Economic Development Stages in the Context of Global Digitalization

open access: yesThe World Economy, Volume 49, Issue 10, Page 2039-2059, October 2026.
ABSTRACT This study aims to explore the relationship between trade sophistication and economic development stages, including in the context of digitalization. We employ nonparametric, semiparametric, and parametric methods, covering the period from 2003 to 2024 across 119 countries, categorized into three income groups.
Kim Hanh Nguyen   +3 more
wiley   +1 more source

A semiparametric factor model for electricity forward curve dynamics [PDF]

open access: yes
In this paper we introduce the dynamic semiparametric factor model (DSFM) for electricity forward curves. The biggest advantage of our approach is that it not only leads to smooth, seasonal forward curves extracted from exchange traded futures and ...
Weron, Rafal, Borak, Szymon
core  

Semiparametric penalty function method in partially linear model selection [PDF]

open access: yes
Model selection in nonparametric and semiparametric regression is of both theoretical and practical interest. Gao and Tong (2004) proposed a semiparametric leave–more–out cross–validation selection procedure for the choice of both the parametric and ...
Gao, Jiti, Dong, Chaohua, Tong, Howell
core  

O PATRÓN DESIGUAL DE CRECEMENTO EUROPEO: UNHA ANÁLISE SEMIPARAMÉTRICA A NIVEL REXIONAL

open access: yesRevista Galega de Economía, 2013
The aim of this paper is to analyze the relationship between inequality and the equivalent dispo- sable income available at a regional level and to contrast the type of relationship between two variables in the developed world in the context of a ...
DANIEL RODRÍGUEZ GONZÁLEZ   +1 more
doaj  

Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators [PDF]

open access: yes
This paper considers the problem of implementing semiparametric extremum estimators of a generalized regression model with an unknown link function. The class of estimator under consideration includes as special cases the semiparametric least-squares ...
Chuan Goh
core  

Detection of Influential Observations in Semiparametric Regression Model

open access: yesRevista Colombiana de Estadística, 2013
In this article, we consider the semiparametric regression model and examine influential observations which have undue effects on the estimators for this model.
SEMRA TÜRKAN, ÖNIZ TOKTAMIS
doaj  

On a semiparametric survival model with flexible covariate effect. [PDF]

open access: yes
A semiparametric hazard model with parametrized time but general covariate dependency is formulated and analyzed inside the framework of counting process theory. A profile likelihood principle is introduced for estimation of the parameters: the resulting
Nielsen, Jens P.   +2 more
core  

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