Statistical analysis including principal component analysis

Ebook "Chemometrics with R: Multivariate data analysis in the natural sciences and life sciences" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection).

289p tachieuhoa 28-01-2024 4 2   Download

Ebook "Neural networks - A comprehensive foundation" includes content: Introduction, learning processes; single layer perceptrons; multilayer perceptrons; radial basis function networks; support vector machines; committee machines; principal components analysis; self organizing maps; information theoretic models; stochastic machines and their approximates rooted in statistical mechanics; neurodynamic programming; temporal processing using feedforward networks; neurodynamics; dynamically driven recurrent networks.

823p haojiubujain07 20-09-2023 6 2   Download

Continued part 1, part 2 of ebook "Statistics and data analysis for financial engineering with R examples" provides readers with contents including: time series models basics; time series models further topics; GARCH models; cointegration; portfolio selection; the capital asset pricing model; factor models and principal components; risk management; bayesian data analysis and MCMC; nonparametric regression and splines;...

407p thamnhuocgiai 24-09-2023 7 4   Download

This study aims to assess surface water quality in the rural areas of Hau Giang province using multivariate statistical approaches, including Pearson’s correlation, cluster analysis (CA), and principal component analysis (PCA). The study elaborates on the spatial variation of surface water quality, which helps design surface water quality monitoring systems in the rural areas of Hau Giang province and provides a more accurate overview of the state of surface water quality.

13p viblackwidow 07-04-2023 5 2   Download

The potential sources of transition metal contamination were deduced by applying the multivariant statistical technique, principal component analysis (PCA), to the extensive sample dataset that included 35 variables and a total of 7,686 data of metal, metalloids, and other constituent concentrations, as well as physicochemical parameters. A Spanish translation of this paper is available in the online Supplementary Material.

17p thebadguys 15-01-2022 9 0   Download

In this paper, some important statistical techniques, including principal component analysis (PCA), canonical correspondence analysis (CCA) and cluster analysis, are explained briefly. Each of them is also examined by a corresponding case-study.

6p viwilliamleiding 10-12-2021 13 1   Download

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Hanoi and its surrounding areas and to evaluate potential pollution sources.

12p capheny 28-02-2020 20 0   Download

Carob samples from seven different Mediterranean countries (Cyprus, Greece, Italy, Spain, Turkey, Jordan and Palestine) were analyzed using Fourier Transform Infrared (FTIR) spectroscopy. Seed and flesh samples of indigenous and foreign cultivars, both authentic and commercial, were examined. The spectra were recorded in transmittance mode from KBr pellets.

8p trinhthamhodang1 14-11-2019 20 1   Download

The pollen morphology of 22 Asian Vigna [subgenus Ceratotropis (Piper) Verdc.] species, including wild and cultivated taxa from India, was investigated with light microscopy and scanning electron microscopy. The quantitative data were analyzed by descriptive statistics and multivariate statistics.

14p vikimsa 22-02-2019 29 1   Download

Fourier transform infrared spectroscopy was performed on human leukemic daunorubicin-sensitiveK562 cells and their multiresistant counterpart derived by selection. Statistical analysis, including variable reduction and linear discrimi-nant analysis was performed on sensitive and multiresistant cells spectra in order to establish a diagnostic tool for multiresistant pattern. For each of the twomethods of data reduction tested [genetic algorithm or principal component analysis (PCA)] discriminationbetween the twocell lineswas found to be possible....

6p research12 23-04-2013 40 1   Download