Results 41 to 50 of about 2,060,595 (185)

Metabolic profiling of body fluids and multivariate data analysis

MethodsX, 2017
Metabolome analyses of body fluids are challenging due pre-analytical variations, such as pre-processing delay and temperature, and constant dynamical changes of biochemical processes within the samples.
Jean-Pierre Trezzi, Christian Jäger, Sara Galozzi, Katalin Barkovits, Katrin Marcus, Brit Mollenhauer, Karsten Hiller   +6 more
doaj   +1 more source

Visible Near-Infrared Spectroscopy and Pedotransfer Function Well Predict Soil Sorption Coefficient of Glyphosate

Remote Sensing, 2023
The soil sorption coefficient (Kd) of glyphosate mainly controls its transport and fate in the environment. Laboratory-based analysis of Kd is laborious and expensive.
Sonia Akter, Lis Wollesen de Jonge, Per Møldrup, Mogens Humlekrog Greve, Trine Nørgaard, Peter Lystbæk Weber, Cecilie Hermansen, Abdul Mounem Mouazen, Maria Knadel   +8 more
doaj   +1 more source

Statistical approach by factor and cluster analysis on origin of elements from the Hamit Plutonic (Turkey) rock samples

Bulletin of the Mineral Research and Exploration, 2019
The Hamit pluton forms part of the Central Anatolian Crystalline Complex. It is located N-NE of Kaman (Kirsehir). It covers an area of about 120 km2. The geochemical contents of 63 rock samples collected from this pluton were analyzed for their origin ...
Fusun YALCIN, Daniel G. NYAMSARI, Nurdane ILBEYLI, Rifat BATTALOGLU   +3 more
doaj   +1 more source

Contingency Table Analysis and Inference via Double Index Measures

Entropy, 2022
In this work, we focus on a general family of measures of divergence for estimation and testing with emphasis on conditional independence in cross tabulations.
Christos Meselidis, Alex Karagrigoriou
doaj   +1 more source

Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]

, 2009
Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Li, Chang-Tsun, Yuan, Yinyin
core   +1 more source

Fusion Recalibration Method for Addressing Multiplicative and Additive Effects and Peak Shifts in Analytical Chemistry

Chemosensors, 2023
Analytical chemistry relies on the qualitative and quantitative analysis of multivariate data obtained from various measurement techniques. However, artifacts such as missing data, noise, multiplicative and additive effects, and peak shifts can adversely
Dapeng Jiang, Yizhuo Zhang, Yilin Ge, Keqi Wang   +3 more
doaj   +1 more source

Optimization of Dissolution Compartments in a Biorelevant Dissolution Apparatus Golem v2, Supported by Multivariate Analysis

Molecules, 2017
Biorelevant dissolution instruments represent an important tool for pharmaceutical research and development. These instruments are designed to simulate the dissolution of drug formulations in conditions most closely mimicking the gastrointestinal tract ...
Ivan Stupák, Sylvie Pavloková, Jakub Vysloužil, Jiří Dohnal, Martin Čulen   +4 more
doaj   +1 more source

Data-driven time-frequency analysis of multivariate data

, 2011
Empirical Mode Decomposition (EMD) is a data-driven method for the decomposition and time-frequency analysis of real world nonstationary signals.
Rehman, Naveed Ur, Rehman, Naveed Ur
core   +1 more source

Towards Analysis of Multivariate Time Series Using Topological Data Analysis

Mathematics
Topological data analysis (TDA) has proven to be a potent approach for extracting intricate topological structures from complex and high-dimensional data.
Jingyi Zheng, Ziqin Feng, Arne D. Ekstrom   +2 more
doaj   +1 more source

On Weighted Multivariate Sign Functions

, 2020
Multivariate sign functions are often used for robust estimation and inference. We propose using data dependent weights in association with such functions.
Chatterjee, Snigdhansu, Majumdar, Subhabrata   +1 more
core