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Multivariable linear model
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This modeling is performed on an experimental data set of complexes, where the metal ions of these complexes include transition ion metals and lanthanide ion metals. We use these models to develop a series of new thiosemicarbazone and their complexes; simultaneously, the complexes are worked out the stability constants from the novel models.
9p
dianmotminh02
03-05-2024
4
1
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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
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Part 1 book "Linear models for the prediction of animal breeding values" includes content: Genetic evaluation with different sources of records, genetic covariance between relatives, best linear unbiased prediction of breeding value - univariate models with one random effect, best linear unbiased prediction of breeding value - models with random environmental effects, best linear unbiased prediction of breeding value - models with random environmental effects, methods to reduce the dimension of multivariate models,.... and other contents.
146p
oursky06
17-10-2023
3
2
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A person's fashion product expense plays an important role in building a garment company's product and pricing strategy. This article presents the results of predicting the fashion expenses of women aged 25 to 55 in Hanoi city.
8p
visybill
19-07-2023
5
4
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The QSPR modeling is popularly used in many fields as in silico approach for predicting properties of chemical compounds based on the relationships between the structural characteristics and the properties.
11p
viargus
03-03-2023
2
2
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The GAW20 group formed on the theme of methods for association analyses of repeated measures comprised 4sets of investigators. The provided “real” data set included genotypes obtained from a human wholegenome association study based on longitudinal measurements of triglycerides (TGs) and high-density lipoprotein in addition to methylation levels before and after administration of fenofibrate.
5p
vihagrid
30-01-2023
4
3
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In this study, The QSPR models were built with knotp, SHBa, HOMO, xvpc4, N4, LUMO, ionization potential, dipole, molecular weight, Maxneg and Hf descriptors selected from the descriptor sets.
13p
viaudi
04-08-2022
4
1
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The structural descriptors of the complexes include the 2D, 3D molecular and physicochemical descriptors. The stability constants with experimental parameters are collected from published literature.
13p
viaudi
04-08-2022
7
1
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Large-scale phenotype data can enhance the power of genomic prediction in plant and animal breeding, as well as human genetics. However, the statistical foundation of multi-trait genomic prediction is based on the multivariate linear mixed effect model, a tool notorious for its fragility when applied to more than a handful of traits.
25p
viarchimedes
26-01-2022
10
0
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Understanding the relationship between forest cover and economic development is a challenge for researchers and policymakers in Vietnam. Based on the framework of economic theory and practice in Vietnam, the study used a multivariate linear regression model to assess the economic factors affecting forest cover. The study uses the secondary data period 1990-2017 in Vietnam. Research results confirmed: Rural population and GDP per capita (Low / High economic development level) have an impact on forest cover and these relationships following the shape of Kuznets environmental curves.
12p
huyetthienthan
23-11-2021
12
1
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The study examines the asymmetric effect of oil price on the exchange rate and stock price using the nonlinear autoregressive distributive lag (NARDL) technique on the time-series data spanning from January 1996 to September 2020. The multivariate cointegration test showed evidence of a longrun relationship among the stock price, exchange rate, and oil price. The linear Granger causality test showed that stock price is granger caused by oil price and exchange rate, and oil price is granger cause by stock price and exchange rate.
7p
mynguyenha
21-07-2021
6
2
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Urban transportation infrastructure development projects usually act as a lever for real estate values. This research aims to assess the effects of some projects on urban land prices in three wards of Cau Giay District, namely Quan Hoa, Dich Vong, and Dich Vong Hau wards. With 161 samples surveyed, we established a multivariate linear regression model initially having 11 variables.
14p
larachdumlanat129
14-01-2021
19
1
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A multivariate genome-wide association test is proposed for analyzing data on multivariate quantitative phenotypes collected from related subjects. The proposed method is a two-step approach. The first step models the association between the genotype and marginal phenotype using a linear mixed model.
14p
viflorida2711
30-10-2020
15
2
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With the plummeting cost of the next-generation sequencing technologies, high-density genetic linkage maps could be constructed in a forest hybrid F1 population. However, based on such genetic maps, quantitative trait loci (QTL) mapping cannot be directly conducted with traditional statistical methods or tools because the linkage phase and segregation pattern of molecular markers are not always fixed as in inbred lines.
11p
viconnecticut2711
29-10-2020
17
2
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In Morocco, knowledge of cancer risk factors, a crucial element in the process of behavioral change, has never been evaluated. This study aims to provide information on the level of awareness of cancer risk factors among the Moroccan general population.
7p
vilisa271
22-09-2020
9
1
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In this study, the equations for estimating the number of tropical cyclones (TCs) at a 6- month lead-time in the Vietnam East Sea (VES) have been developed and tested. Three multivariate linear regression models in which regression coefficients were determined by different methods, including method of least squares (MLR), minimum absolute deviation method (LAD), minimax method (LMV).
13p
tamynhan4
06-09-2020
19
1
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The following will be discussed in this chapter: LMMSE estimator: first step (obtaining unbiasedness), LMMSE estimator: second step (solve reduced problem), LMMSE estimator as projection, putting it all together, orthogonality relations, extension to multivariate case,...
9p
nanhankhuoctai3
25-05-2020
10
1
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The following will be discussed in this chapter: Zestimates, LMMSE for multivariate case, Geometric picture, applying orthogonality gives the “normal equations”, estimating mean vector and covariance matrix from data, random variable, random process,...
11p
nanhankhuoctai3
25-05-2020
7
0
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Multivariate Curve Resolution with Alternating Least Squares (MCR-ALS) is a curve resolution method based on a bilinear model which assumes that the observed spectra are a linear combination of the spectra of the pure components in the system. The algorithm steps include the determination of the number of components by rank analysis methods, initial estimates for the concentrations and/or spectra and an iterative optimization. Sometimes, suitable results may not be achieved when MCR-ALS is applied. One reason for this is the importance of the initial estimates of the spectral profiles.
8p
kequaidan1
16-11-2019
16
0
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The solubility of organic compounds in water was related to the environmental behaviors. In this work, the solubility values of 27 organic compounds were calculated by using the different molecular descriptors. The quantitative structure-solubility relationships (QSSRs) were constructed by incorporating the multivariable technique and the genetic algorithm. The important molecular descriptors such as logP, SsCH3_acnt, ABSQ, nelem, nrings, SHBa, Gmax, Gmin, Xvp6, and Xvpc4 were selected to construct the linear models QSSRs with the genetic algorithm.
8p
cumeo3000
01-08-2018
28
0
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