Results 1 to 10 of about 466,308 (166)
The Intention of Waterpipe Tobacco Smoking by Women in the COVID-19 Pandemic and its Contributing Factors: a Nonparametric Path Analysis [PDF]
Medical Journal of the Islamic Republic of Iran, 2023 People with waterpipe tobacco smoking (WTS) seem to be more at risk for the serious complications of coronavirus disease 2019 (COVID-19). This study aimed at assessing the behavioral intention (BI) of WTS by women in the COVID-19 pandemic and its contributing factors.This cross-sectional descriptive-correlational study was conducted in 2020 (ie, during
Zare, Soodabeh +3 more
europepmc +4 more sources
Comparison of Nonparametric Path Analysis and Biresponse Regression using Truncated Spline Approach
JTAM (Jurnal Teori dan Aplikasi Matematika)Nonparametric path analysis and biresponse nonparametric regression are two flexible statistical approaches to analyze the relationship between variables without assuming a certain form of relationship.
Laila Nur Azizah +4 more
doaj +3 more sources
BarekengPath analysis tests the relationship between variables through cause and effect. The assumption of linearity must be met before conducting further tests on path analysis. If the shape of the relationship is nonlinear and the shape of the curve is unknown,
Devi Veda Amanda +3 more
doaj +3 more sources
Nonparametric Path Analysis on Consumer Satisfaction and Consumer Engagement in PT Pertamina
WSEAS TRANSACTIONS ON MATHEMATICS, 2022 The purpose of this research is to apply nonparametric path analysis on consumer satisfaction and consumer engagement of PT Pertamina. The results of the analysis are expected to be able to provide an estimate of the function in determining consumer satisfaction and consumer engagement of PT Pertamina.
Adji Achmad Rinaldo Fernandes +6 more
openaire +2 more sources
Estimation of spline function in nonparametric path analysis based on penalized weighted least square (PWLS) [PDF]
AIP Conference Proceedings, 2017 The aim of this research is to estimate the spline in Path Analysis-based on Nonparametric Regression using Penalized Weighted Least Square (PWLS) approach. Approach used is Reproducing Kernel Hilbert Space at sobolev space. Nonparametric path analysis model on the equation y1i=f1.1(x1i)+e1i;y2i=f1.2(x1i)+f2.2(y1i)+e2i; i=1,2,…,n Nonparametric Path ...
Adji Achmad Rinaldo Fernandes +2 more
openaire +2 more sources
Journal of Marine Science and Engineering, 2022 Transportation is one of the major carbon sources in China. Container throughput is one of the main influencing factors of ports’ carbon emission budget, and accurate prediction of container throughput is of great significance to the study of carbon ...
Yuye Zou, Bohan Su, Yanhui Chen
doaj +2 more sources
The strategic paths and performances of Italian mutual banks: a nonparametric analysis [PDF]
International Journal of Banking, Accounting and Finance, 2008 This paper investigates an Italian group of Mutual Banks (MBs) over the period 2001?2005. We identify homogeneous groups by cluster analysis and then measure their performance ratios. We evaluate the groups' efficiency and productivity by means of nonparametric techniques (Data Envelopment Analysis (DEA) and Luenberger Indicator).
BALDAN, CINZIA, ZEN F.
openaire +3 more sources
Nested Hierarchical Dirichlet Processes [PDF]
, 2014 We develop a nested hierarchical Dirichlet process (nHDP) for hierarchical topic modeling. The nHDP is a generalization of the nested Chinese restaurant process (nCRP) that allows each word to follow its own path to a topic node according to a document ...
Blei, David M. +3 more
core +1 more source
Sensors, 2020 In this paper, a robust analysis of nitrogen dioxide (NO2) concentration measurements taken at Belisario station (Quito, Ecuador) was performed. The data used for the analysis constitute a set of measurements taken from 1 January 2008 to 31 December 2019.
Wilmar Hernandez, Alfredo Mendez
doaj +1 more source
How revealing is revealed preference? [PDF]
, 2005 This lecture address the following two key criticisms of the empirical application of revealed preference theory: When the RP conditions do not reject, they do not provide precise predictions; and when they do reject, they do not help characterize the ...
Blundell, R.
core +2 more sources