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Over the last four decades of research, numerous cell formation algorithms have been developed and tested, still this research remains of interest to this day. Appropriate manufacturing cells formation is the first step in designing a cellular manufacturing system. In cellular manufacturing,...
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In recent years Web survey have emerged as the most popular mode of primary data collection in market and social research. To improve our understanding about the influence of different societal-level factors, characteristics of the sample person, and attributes of the survey design on...
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considers six heuristics and their combination through an evolutionary hyper-heuristic framework. A wide set of problem … heuristics and hyper-heuristics is then super-imposed into these maps to visually reveal relationships between problem features … studied heuristics and hyper-heuristics. The PCA maps give a valuable indication of the combination of features characterizing …
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Financial conditions indexes (FCIs) are constructed for five Asian economies, namely, Hong Kong, China; Japan; the Republic of Korea; Malaysia; and Singapore, using a principal component analysis (PCA) methodology from Hatzius et al. (2010) and quarterly data. Various financial stress indicators are...
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This note discusses some aspects of the paper by Hu and Tsay (2014), "Principal Volatility Component Analysis". The key issues are considered, and are also related to existing conditional covariance and correlation models. Some caveats are given about multivariate models of time-varying...
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This paper reviews various treatments of non-metric variables in Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several typical data generating processes and...
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