Results 71 to 80 of about 4,885,621 (179)

Group‐wise partial least square regression

open access: yesJournal of Chemometrics, 2017
AbstractThis paper introduces the group‐wise partial least squares (GPLS) regression. GPLS is a new sparse PLS technique where the sparsity structure is defined in terms of groups of correlated variables, similarly to what is done in the related group‐wise principal component analysis. These groups are found in correlation maps derived from the data to
José Camacho, Edoardo Saccenti
openaire   +5 more sources

Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]

open access: yes, 2005
The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
core   +1 more source

PENENTUAN KRITERIA DESAIN PENGEMBANGAN OBJEK WISATA WADUK SEMPOR DENGAN METODE PARTISIPATORI ERGONOMI

open access: yesSpektrum Industri: Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri, 2018
Waduk Sempor adalah objek wisata yang juga dimanfaatkan sebagai sumber mata pencaharian bagi sebagian warga sekitarnya. Saat ini terjadi penurunan jumlah pengunjung yang disebabkan rusaknya beberapa fasilitas penunjang dan persaingan dengan objek wisata ...
Ahmad Yakub Katibi, Widyastuti
doaj   +1 more source

Non-Metric Partial Least Squares

open access: yesElectronic Journal of Statistics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Consistent Partial Least Squares Path Modeling.

open access: yesMIS Q., 2015
This paper resumes the discussion in information systems research on the use of partial least squares (PLS) path modeling and shows that the inconsistency of PLS path coefficient estimates in the case of reflective measurement can have adverse consequences for hypothesis testing. To remedy this, the study introduces a vital extension of PLS: consistent
Dijkstra, Theo K., Henseler, Jörg
openaire   +3 more sources

Microwave Characterization Using Partial Least Square Regression

open access: yes, 2016
International audienceInverse problems for determination of dielectric materials properties (complex permittivity) are usually solved by iterative methods using numerically based forward model. These methods are computationally expensive.
Sadou, Hakim   +9 more
core   +2 more sources

ENTREPRENEURIAL ATTITUDE AND STUDENTS BUSINESS START-UP INTENTION: A PARTIAL LEAST SQUARE MODELING

open access: yesJurnal Manajemen dan Wirausaha, 2017
This article is designed to examine the role of the entrepreneurial spirit, education and in build­ing­ an attitude about working as an entrepreneur, and his influence on the intention to start a business, to the students.
Widayat Widayat   +1 more
doaj  

Partial Least Square Path analysis of knowledge, Attitude and Practice Regarding Dengue

open access: yesJournal of Biostatistics and Epidemiology, 2019
Introduction: Knowledge, attitude and practices regarding dengue are latent variables which are substantiated through manifest variables. The manifest variables that form the indicative construct of knowledge, attitude and practice can be factored into ...
Lamidi-Sarumoh Alaba Ajibola   +4 more
doaj  

BIM implementation in project management practices for sustainable development: Partial Least square approach

open access: yesAin Shams Engineering Journal
As an emerging area with far-reaching implications for project management practices, Despite the growing global adoption of Building Information Modelling (BIM), its implementation in the Pakistani construction sector faces significant challenges ...
Muhammad Sajjad   +5 more
doaj   +1 more source

Comportamento estocástico do algoritmo kernel least-mean-square [PDF]

open access: yes, 2012
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Algoritmos baseados em kernel têm-se tornado populares no processamento não-linear de sinais.
Parreira, Wemerson Delcio
core  

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