Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Giovanni Maria Merola"'
Autor:
Gemai Chen, Giovanni Maria Merola
Publikováno v:
Journal of Multivariate Analysis. 173:366-382
We propose a new sparse principal component analysis (SPCA) method in which the solutions are obtained by projecting the full cardinality principal components onto subsets of variables. The resulting components are guaranteed to explain a given propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3583d86e9785e28f02f331f04591b544
https://doi.org/10.1016/j.jmva.2019.04.001
https://doi.org/10.1016/j.jmva.2019.04.001
Publikováno v:
2020 IEEE Sensors Applications Symposium (SAS).
Semiconductor device manufacturing process involves a large number of sophisticated production steps that have to be controlled precisely so to achieve and to maintain the required yield and product quality specifications. Therefore, it is critical t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6445fcdf852ad52c294b40dd6e591d95
https://doi.org/10.1109/sas48726.2020.9220086
https://doi.org/10.1109/sas48726.2020.9220086
Autor:
Bob Baulch, Giovanni Maria Merola
Publikováno v:
REVIEW OF DEVELOPMENT ECONOMICS
Asset indices have been used since the late 1990s to measure wealth in developing countries. We extend the standard methodology for estimating asset indices using principal component analysis in two ways: by introducing constraints that force the ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7fba2f8d1234740ebf7bb9407bdd97d
https://doi.org/10.1111/rode.12568
https://doi.org/10.1111/rode.12568
Publikováno v:
International Journal of E-Business Research. 13:37-54
Due to the penetration of smartphones and associated mobile devices, mobile gaming has become a ubiquitous industry worldwide. Players now have access to games at all times. Extending previous research and the Uses and Gratifications approach this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd67283a4ef86a7dcb1463e5673d1f19
https://doi.org/10.4018/ijebr.2017100103
https://doi.org/10.4018/ijebr.2017100103
Publikováno v:
Journal of Applied Learning & Teaching. 2
This study compares final grade results across two different cohorts of accounting students (one using a traditional lecture model and the other inter-teaching – an innovative pedagogy). Boyce and Hineline (2002) designed inter-teaching to engage s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53d067206814971577ae08f79939325b
https://doi.org/10.37074/jalt.2019.2.2.4
https://doi.org/10.37074/jalt.2019.2.2.4
Autor:
Giovanni Maria Merola
Publikováno v:
J Appl Stat
We propose an algorithmic framework for computing sparse components from rotated principal components. This methodology, called SIMPCA, is useful to replace the unreliable practice of ignoring small coefficients of rotated components when interpretin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e4bed1bc4dc52073f87f359ea2993a0
http://arxiv.org/abs/1910.03266
http://arxiv.org/abs/1910.03266
Publikováno v:
Open Journal of Social Sciences. :69-79
The purpose of this study was to create a conceptual framework and to collect some pilot data in order to underpin future research on how the Vietnamese use Facebook in their day-to-day lives. A number of key points were observed in this study, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0833d5b8b7ea878f4441578b2a9aac
https://doi.org/10.4236/jss.2016.411006
https://doi.org/10.4236/jss.2016.411006
Autor:
Giovanni Maria Merola
Publikováno v:
Australian & New Zealand Journal of Statistics. 57:391-429
Sparse Principal Components Analysis (SPCA) aims to find principal components with few non-zero loadings. Our contribution to this methodology is twofold. First we derive the sparse solutions that minimise the Leats Squares criterion subject to spars
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66a6852e9c22c73783bbeb025e345b69
https://doi.org/10.1111/anzs.12128
https://doi.org/10.1111/anzs.12128
Publikováno v:
I2MTC
Zero Re-Burn-In methodology presented in this paper is based on statistical analysis of the historical manufacturing data on burn-in (BI) and re-burn-in (REBI) tests employed in semiconductor devices manufacturing. The goal is to reduce (or, if possi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bd1e43ac6f870ec376c931c13459aa8
https://doi.org/10.1109/i2mtc.2017.7969957
https://doi.org/10.1109/i2mtc.2017.7969957
Autor:
Giovanni Maria Merola, Bovas Abraham
Publikováno v:
Canadian Journal of Statistics. 29:191-200
Dimensionality reduction methods used for prediction can be cast into a general framework by deriving them from a common objective function. Such a function yields continuum of different solutions, including all the known ones. Least-squares and maxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06775b099dd2e0fbcf73d7c285c965c5
https://doi.org/10.2307/3316072
https://doi.org/10.2307/3316072