[PDF] Top 20 Functional Analysis of Chemometric Data

... regression, functional PLS regression was used in [3] to estimate the discriminant function and classify the biscuits on the basis of their dough resistance ...reduced functional PLS and functional ... See full document

... several chemometric packages developed for analysis of Fourier transform infrared (FTIR) spectra of atmospheric ...ganic functional group (FG) analysis, and multivariate cal- ibration for any ... See full document

... of functional residuals; and 2) using a nonparametric bootstrap of in- dependent units ...of functional data to estimate fixed effects may actually waste degrees of free- ...of functional ... See full document

... component analysis, FPCs may be interpreted and labelled according to the information they exhibit, which in turn can be related to more conventional physiological or clinical ... See full document

... Separation techniques associated to electrochemical detectors such as liquid chromatography [2] or even more sophisticated ones using micro capillary electrophoresis chips [3] have been used in conjunction with ... See full document

... 4.1 The Location of Ten Stations in Peninsular Malaysia 28 4.2 (a) to (j) Mean Daily Wind Speed for Ten Stations 29 4.3 (a) to (j) Mean Daily Rainfall Data for Ten Stations 31 4.4 (a) to (j) Smoothing Curve of ... See full document

... of functional data such as linear functional discriminant analysis [13], functional logistic regression [28] [21], functional multinomial regression [1], functional ... See full document

... ordering data and then in 1997 they considered some inputs ...interval data in DEA and presented a comprehensive form using the confidence interval concept and converted it to an equivalent linear ... See full document

... The flexibility of identification and quantitative deter- mination of AZM tablets by using micro Raman spec- troscopy is investigated. The accuracy of a PLS-DA model with full-spectral data is as high as 80.00%, ... See full document

... An LFG-DOP derivation is produced by a stochastic process which starts by randomly choosing a fragment whose c-structure is labeled with the initial category. At each subsequent step, a next fragment is chosen at random ... See full document

... The systems metabolic change in the mouse due to S. mansoni infection reported here extends previous knowledge on the host-parasite interaction in the follow- ing aspects: (i) changes in urine were observed as early as ... See full document

... Naïve statistical analyses have pointed to a significant dif- ference in wastewater drug loads between weekdays and the weekend [15–17]. FDA does however indicate a smooth transition between weekdays and the weekend ... See full document

... subdivides data in two groups maximising the distance between their induced ...of functional data, namely a linear shrinkage estimator, in order to improve the precision of the ...synthetic ... See full document

... In conclusion, aneugens can be classified using a K Nearest Neighbors Model on an H-Modal depth transfor- mation of a functional curve and with kernel support vector machines. This allows similar class aneugens to ... See full document

... Functional Data Analysis (FDA) develops fast in statistics area with the aim of estimating a set of related functions or curves rather than focusing on a single ...a functional data ... See full document

... ABSTRACT: Chemometric designs were applied to develop a simple UV-visible spectroscopic method for the simultaneous estimation of Hydrochlorthiazide (HCT), Amlodipine (AMLO) and Telmisartan (TEL) in bulk and solid ... See full document

... study, chemometric methods can be applied to simultaneously measure spectra data processing based paracetamol and metaclopromide samples containing mixtures of homogeneously mixed binary drug ... See full document

... Practical application. The identification of citrus cultivars is a topic of the food sector, both techno- logical and economic. The great demand for the commercial interest in citrus juice are focused on the level of ... See full document

... of data dimensions to a finite level and identification of the most significant components of the ...dimensional data signifi- cantly slow down conventional statistical algorithms and in some cases it is ... See full document

... The interpretation of MCR’s results is simplified if in- stead of analyzing the variables all together, they are separated in groups containing environmentally and chemically related variables. With this purpose we ... See full document