نتایج جستجو برای: partial least squares regression
تعداد نتایج: 888689 فیلتر نتایج به سال:
More is known about the pervasiveness of college cheating than reasons why students cheat. This article reports the results of a study that applied the theory of reasoned action and partial least squares methodology to analyze the responses of 144 students to a survey on cheating behavior. Approximately 60% of the business students and 64% of the non-business students admitted to such behavior....
Assessing the quality of a delivered system has been one of the major challenges for researchers as well as for the practitioners (organizations). There is the need of a multidimensional instrument capable of measuring the quality of an information system, that instrument would provide valid information that helps an organization to take decisions in order to improve and assure the quality of i...
Semantic Indexing based on Partial Least Squares (SIPLS) is an effective feature extraction method for text classification. SIPLS integrates the global category information Y with the document-class matrix X to create the latent semantic spaces. However, the global latent space may not be the optimal one for each class. To solve this problem, the Local SIPLS (LSIPLS) method is proposed which cr...
Partial Least Squares (PLS) is a widely used technique in chemometrics, especially in the case where the number of independent variables is significantly larger than the number of data points. There are many articles on PLS [HTF01, GK86] but the mathematical details of PLS do not always come out clearly in these treatments. This paper is an attempt to describe PLS in precise and simple mathemat...
This paper proposes a structural model to analyze the relationships between drivers of internalization of quality standards, internalization of quality standards, and performance in the Spanish tourism industry. First, the paper proposes hypotheses based on previous studies about internalization of quality standards and then measures to test the research model using partial least squares (PLS) ...
The integrity of the Blesbok Spruit catchment has been significantly compromised over the past decades, mainly due to the discharge of mining effluent and sewage. This research investigated the hydrological responses, in terms of water quality, in the event of land cover change within the catchment to make predictions on the future sustainability of the region’s water resources with the applica...
We apply computer vision methods to the task of automatically predicting human attractiveness from frontal face images. A dataset of thousands of images and corresponding scores was obtained from a popular website that asks viewers to rate the attractiveness of the people appearing in the images. We applied several kernel regression techniques to the problem and found that while all techniques ...
This research-in-progress paper proposes the use of a statistical approach named Partial Least squares (PLS) to define the relationships between Critical Success Factors (CSFs) for ERP implementation projects. Some researchers have noted that there are relationships between these CSFs. However, no one has yet tried to define in a formal way these relationships. In this paper we present an overv...
(1) Museo Nacional de Ciencias Naturales, MNCN-CSIC. Serrano 115B., E-28006 Madrid, Spain., (2) Facultad de Química, Universidad de la Laguna. Avda. Astrofísico Francisco Sánchez s/n. E-38206 La Laguna, Spain., (3) Instituto de Recursos Naturales y Agrobiología, CSIC. P.O. Box 1052, E-41080 Sevilla, Spain., (4) Instituto de Química Orgánica General, CSIC. Juan de la Cierva 3, E-28006 Madrid, Sp...
Many studies uphold market orientation as a key factor in creating and sustaining a firm’s competitive advantage. The present research model explores this topic further by including within the model the links between organizations’ innovation outcomes, its process of organizational unlearning and business performance. In particular, the model empirically tests the mediating role of innovation o...
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