Results 31 to 40 of about 6,143,323 (339)

INVESTIGATION OF MEASUREMENT PRECISION OF LATENT VARIABLES IN EDUCATION

open access: yesОбразование и наука, 2015
The objective of the study is to investigate the measurement accuracy of latent variables depending on a number of dichotomous test items and variation range.Methods: Investigation is based on the simulation experiments.Results: The authors make ...
Anatoly A. Maslak Anatoly A.   +2 more
doaj   +1 more source

Multiscale Latent Variable Regression

open access: yesInternational Journal of Chemical Engineering, 2010
Multiscale wavelet-based representation of data has been shown to be a powerful tool in feature extraction from practical process data. In this paper, this characteristic of multiscale representation is utilized to improve the prediction accuracy of some
Mohamed N. Nounou, Hazem N. Nounou
doaj   +1 more source

Latent class analysis variable selection [PDF]

open access: yes, 2009
We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
A.E. Raftery   +19 more
core   +4 more sources

International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach

open access: yesSocial Inclusion, 2017
Worldwide human trafficking is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. This article focusses on three questions: 1) How can human trafficking be measured?
Alexandra Rudolph, Friedrich Schneider
doaj   +1 more source

MetPC: Metabolite Pipeline Consisting of Metabolite Identification and Biomarker Discovery Under the Control of Two-Dimensional FDR

open access: yesMetabolites, 2019
Due to the complex features of metabolomics data, the development of a unified platform, which covers preprocessing steps to data analysis, has been in high demand over the last few decades.
Jaehwi Kim, Jaesik Jeong
doaj   +1 more source

Optimal Encoding in Stochastic Latent-Variable Models

open access: yesEntropy, 2020
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can be viewed as encoding channels in the information-theoretic sense. However,
Michael E. Rule   +2 more
doaj   +1 more source

Investigating the role of latent individual components in the acceptance of demand management policies: Case study of Tehran odd-even policy [PDF]

open access: yesمهندسی عمران شریف, 2022
Due to the problems caused by personal car use, demand management policies have been developed, which result in reduced use of personal vehicles. It is generally accepted that demand management policies are classified into two types: hard or soft. In the
A.R. Mahpour, S. Saeedi Shahrivar
doaj   +1 more source

Multimodal latent variable analysis [PDF]

open access: yesSignal Processing, 2018
Consider a set of multiple, multimodal sensors capturing a complex system or a physical phenomenon of interest. Our primary goal is to distinguish the underlying sources of variability manifested in the measured data. The first step in our analysis is to find the common source of variability present in all sensor measurements.
Papyan, Vardan, Talmon, Ronen
openaire   +2 more sources

MEASUREMENT MODEL OF BEHAVIORAL INTENTION TO SUBSCRIBE YOUTUBE CHANNEL CONTENT USING UTAUT 2 MODEL [PDF]

open access: yesRussian Journal of Agricultural and Socio-Economic Sciences, 2019
This study research about measurement model of behavioral intention to subscribe YouTube Channel content named Kidz with SEM-PLS. Kidz is a Youtube Channel content that share videos for kids. The samples of this research were Kidz users aged 7-12 through
Putri M.K.N.   +2 more
doaj   +1 more source

Latent Variable Nonparametric Cointegrating Regression [PDF]

open access: yesSSRN Electronic Journal, 2017
This article studies the asymptotic properties of empirical nonparametric regressions that partially misspecify the relationships between nonstationary variables. In particular, we analyze nonparametric kernel regressions in which a potential nonlinear cointegrating regression is misspecified through the use of a proxy regressor in place of the true ...
Wang, Qiying   +2 more
openaire   +4 more sources

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