Nonlinear principal components analysis with CATPCA: a tutorial
M Linting, A Van der Kooij - Journal of personality assessment, 2012 - Taylor & Francis
This article is set up as a tutorial for nonlinear principal components analysis (NLPCA),
systematically guiding the reader through the process of analyzing actual data on …
systematically guiding the reader through the process of analyzing actual data on …
Extending the minority stress model to understand mental health problems experienced by the autistic population
Research into autism and mental health has traditionally associated poor mental health and
autism as inevitably linked. Other possible explanations for mental health problems among …
autism as inevitably linked. Other possible explanations for mental health problems among …
Nonlinear principal components analysis: introduction and application.
The authors provide a didactic treatment of nonlinear (categorical) principal components
analysis (PCA). This method is the nonlinear equivalent of standard PCA and reduces the …
analysis (PCA). This method is the nonlinear equivalent of standard PCA and reduces the …
Bootstrap** Q methodology to improve the understanding of human perspectives
Q is a semi-qualitative methodology to identify typologies of perspectives. It is appropriate to
address questions concerning diverse viewpoints, plurality of discourses, or participation …
address questions concerning diverse viewpoints, plurality of discourses, or participation …
[BOOK][B] Network industries and social welfare: The experiment that reshuffled European utilities
M Florio - 2013 - books.google.com
A dramatic change of ownership, regulation, and organisation of essential public services,
such as electricity, gas, and telecommunications, has taken place in Europe in less than 20 …
such as electricity, gas, and telecommunications, has taken place in Europe in less than 20 …
Attitudes towards machine translation and languages among travelers
Abstract Machine translation (MT), ie, automatic translation, is a growing field in artificial
intelligence with huge impacts on societies and businesses. Despite its importance for …
intelligence with huge impacts on societies and businesses. Despite its importance for …
Self-directed rehabilitation training intensity thresholds for efficient recovery of skilled forelimb function in rats with cervical spinal cord injury
Task specific rehabilitation training is commonly used to treat motor dysfunction after
neurological injures such as spinal cord injury (SCI), yet the use of task specific training in …
neurological injures such as spinal cord injury (SCI), yet the use of task specific training in …
Bootstrap based confidence limits in principal component analysis—A case study
H Babamoradi, F van den Berg, Å Rinnan - Chemometrics and Intelligent …, 2013 - Elsevier
Principal component analysis (PCA) is widely used as a tool in (exploratory) data
investigations for many different research areas such as analytical chemistry, food-and …
investigations for many different research areas such as analytical chemistry, food-and …
Identifying the component structure of satisfaction scales by nonlinear principal components analysis
M Manisera, AJ van der Kooij… - Quality technology & …, 2010 - Taylor & Francis
The component structure of 14 Likert-type items measuring different aspects of job
satisfaction was investigated using nonlinear Principal Components Analysis (NLPCA) …
satisfaction was investigated using nonlinear Principal Components Analysis (NLPCA) …
Reproducible analysis of disease space via principal components using the novel R package syndRomics
Biomedical data are usually analyzed at the univariate level, focused on a single primary
outcome measure to provide insight into systems biology, complex disease states, and …
outcome measure to provide insight into systems biology, complex disease states, and …