Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 66 for “"Partial least squares (PLS)"”.
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Inferences on high-dimensional data
… methods, principal components analysis (PCA) and partial least squares (PLS), are used for regression and classification. We show that the null distribution of the PLS ""f-test"" statistic, which is obtained from one factor PLS regression, depends heavily on the design. A simulation method is …
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Factores que determinan la intención de uso y el uso de entornos b-learning que utilizan herramientas colaborativas: Aplicación de UTAUT a la Academia CISCO
… la regresión por mínimos cuadrados parciales (Partial Least Squares, PLS).
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Organizational culture and the achievement of ERP strategic advantages and BPR performance improvements
… change in that profile due to ERP and/or BPR. Partial least squares (PLS) method of structural equation modeling was then used to determine the relationship that the organization's culture and culture change has with ERP and BPR success. The results show that the organization's culture and the …
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Hierarchical Variation in Cellulose Decomposition Across Southern Ontario Reference Streams
… using a linear mixed effects model (LMEM). A partial least squares (PLS) regression analysis was performed to identify environmental variables associated with decomposition patterns. I found that variance associated with each successive spatial scale was seasonally dependent, and that …
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Using machine learning to predict gene expression and discover sequence motifs
… of genes. Our algorithm, which is based on partial least squares (PLS) regression, is able to directly model the flow of information, from gene sequence to gene expression, to learn cis regulatory motifs and characterize associated gene expression patterns. Our algorithm outperforms …
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Chemometric methods for the analysis of process spectra using minimal reference data
… Curve Resolution (SMCR) methods and Partial Least Squares (PLS) to construct a quantitative model using only minimal reference data was implemented. The objective was to construct a quantitative calibration model to allow real-time in-situ UV/ATR measurements to be used to determine …
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Proteomics approach to investigate separation behavior of proteins in ion-exchange chromatography
… in cation-exchange chromatography (CEC) using partial least squares (PLS) regression. The resulting models fit well (R2=0.913 and 0.873 for SP and 15S, respectively) considering the limited property basis and the regression models were able to predict results for a small test set of proteins. …
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IP Algorithm Applied to Proteomics Data
… a minimum number of assumptions on the data. Partial Least Squares (PLS) is an algorithm commonly used with proteomics data from mass spectrometry in order to reduce the dimension of the data. The IP algorithm and a PLS algorithm were applied to proteomics data from mass spectrometry to reduce …
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Market orientation of frontline employees and its impact on service quality and productivity within the South African contact centre industry
… and the hypothesised model was tested using Partial Least Squares (PLS) path analysis and Pearson correlation analyses. The results confirm significant and positive relationships between a number of market orientation components and those of service quality. Interestingly, a number of …
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Multivariable analysis of spectral measurements for the characterization of semiconductor processes
… including principal component analysis (PCA) and partial least squares (PLS) are developed and tailored for characterizing endpoint and uniformity for each particular process. The results of this research include one of the first demonstrations of 1% low open area endpoint detection for a …
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Psychological Monitoring: Detecting Real-Time Emotional Changes
… onto emotional dimensions using supervised partial least squares (PLS) regressions from behavioral validation measures: facial electromyograph (EMG) for valence, a joystick for motivation, and eye-tracking (activation). The dimensional predictions reached within-subject accuracy levels …
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Application of chemometric analysis to UV-visible and diffuse near-infrared reflectance spectra.
… samples. Multivariate regression models known as partial least squares (PLS-1) were developed from the spectral data of alcoholic extracts of Habanero peppers. The developed regression models were used to predict the total capsaicinoids concentration of a set of unknown samples. The ability of the …
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On testing common indices for several multi-index models: A link-free approach
… is unsupervised in regression and supervised Partial Least Squares (PLS). Modern sufficient dimension reduction techniques, like the ones we consider, constitute a form of supervised linear dimension reduction which outperform PCA and PLS without the underlying model assumptions.</p><p>In …
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Using partial least squares approach to predict factors that contribute to the impact of e-folios on pre-service teachers' learning
… To analyze survey data, the researcher used the Partial Least Squares (PLS) approach to Structural Equation Modeling (SEM), which is a method for estimating the likelihood of the success of PASS-PORT given information about other factors that influence the use of PASS-PORT. (Falk & Miller, 1992). …
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The Distribution of Cotton Fiber Length
… length distributions are discussed by using Partial Least Squares (PLS) regression, where the dis-tribution of the original fiber length from the distribution of the projected one is estimated.</p>
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Resonance Raman spectroscopy in the analysis of residual lignin and other unsaturated structures in chemical pulps
… spectra of extracted wood samples. Further, a partial least squares (PLS) model was developed to assist the determination of the characteristic UVRR bands of different lignin structures. The UVRRS-PLS method was further applied to interpret the more complex lignin spectra. The results …
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Partnering Attractiveness In Buyer-seller Relationships
… equipment. Model parameters were estimated by Partial Least Squares (PLS), a regression-based causal modelling methodology developed by Herman Wold.;The model was able to explain 43% of the variance in partnering attractiveness with the data from stationery supplies purchasers, and 36% with the …
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An in-depth analysis of beer flavor and its impact on consumer refreshing perception
… refreshment based on ANOVA, MANOVA, and partial least squares (PLS), p < 0.01. A majority of consumers preferred a citrus-flavored beer and an alcohol level of 2.5% abv. Volatile profiles of three pilsners (Carlsberg, Heineken 0.0, and Michelob Ultra) were analyzed using solid-phase …
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An in-depth analysis of beer flavor and its impact on consumer refreshing perception
… refreshment based on ANOVA, MANOVA, and partial least squares (PLS), p < 0.01. A majority of consumers preferred a citrus-flavored beer and an alcohol level of 2.5% abv. Volatile profiles of three pilsners (Carlsberg, Heineken 0.0, and Michelob Ultra) were analyzed using solid-phase …
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Sparse Kernel feature extraction
… of useful properties. The framework is based on Partial Least Squares (PLS), and one can choose a user defined criterion to compute projection directions. It draws together a number of existing results and provides additional insights into several popular feature extraction methods. More specific …
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