• In this study, the feasibility of analyzing anthracene and fluoranthene in soil by Raman spectroscopy, infrared spectroscopy combined with spectral fusion technology and partial least squares (PLS) was investigated. (rsc.org)
  • Partial least-squares methods for spectral analyses. (exaly.com)
  • Partial least squares discriminant analysis was applied to the spectral dataset acquired from blood serum of a mouse model of Duchenne muscular dystrophy ( mdx ) and control mice. (nature.com)
  • Partial least squares. (hse.ru)
  • Principal components analysis PCA) and inverse least squares (ILS) methods such as partial least squares (PLS) are ubiquitous to chemometrics. (eigenvector.com)
  • Currently, many chemometric analytical methods have been applied to LIBS calibration analysis, including univariate regression, multivariate regression, principal component regression (PCR), partial least squares regression (PLSR) and so on. (intechopen.com)
  • Migrating from partial least squares discriminant analysis to artifici" by Kevin M. Mendez, David I. Broadhurst et al. (edu.au)
  • Metabolomics data is commonly modelled multivariately using partial least squares discriminant analysis (PLS-DA). (edu.au)
  • The course covers the basics, principles and limitations for the most common methods for multivariate statistics (analysis of variance, principal component analysis and partial least squares regression), experimental design (super-saturated and factorial designs) and method validation with a focus on practical use. (lu.se)
  • Spectral fusion technology can further improve the accuracy and stability of quantitative analysis by including more comprehensive information. (rsc.org)
  • With the reduction of Z-spectral sampling density, prediction errors increased for both methods, but the increase occurred earlier (at 25 vs. 15 frequency points) and was more pronounced for LS. (lu.se)
  • Multivariate experimental design and different statistical analysis tools (variance analysis, principal component analysis and least squares method). (lu.se)
  • In this paper we extend this test method to test for multivariate ARCH effects in the vector autoregressive (VAR) model. (lu.se)
  • Grau-Sánchez, M. and Daz-Barrero, J.L. (2011) A Technique to Composite a Modified Newton's Method for Solving Nonlinear Equations. (scirp.org)
  • Least-squares error analysis was conducted to find appropriate parameters for the nonlinear equation. (cdc.gov)
  • To identify factors associated with the development of Pulmonary embolism, a multivariable Binary Logistic Regres- sion model with sensitivity analysis was run. (who.int)
  • Methods: Multicenter, prospective, observational study (September 2020 to June 2022). (bvsalud.org)
  • and sensitivity/variance analysis with design of experiments and parameter study methods. (sandia.gov)
  • We automate reasoning in our logic by reducing bound analysis of concurrent programs to the sequential case. (springer.com)
  • A simple "sequential method" of constructing orthogonal Sudoku square designs (OSSD) of odd order is presented. (iospress.com)
  • The negative square root can be calculated easily by taking the first approximation near to the negative square root. (911weknow.com)
  • A Moving least squares (MLS) approximation method is used to construct the shape function, making the approach a fully least squares-based approach. (wikipedia.org)
  • This paper presents a bi-polynomial least squares approximation method (LSM) related to the Callendar-Van Dusen (CVD) model to analyse the estimation accuracy. (leuphana.de)
  • Newton?s method, also known as Newton-Raphson method is a root-finding algorithm that produces successively better approximations of the roots of a real-valued function. (911weknow.com)
  • This is how the algorithm for finding square root of a number comes. (911weknow.com)
  • The algorithm can be modified a little to find integer square root of a number. (911weknow.com)
  • Because this is a least squares based algorithm of the MDLSM method, the proposed method does not need to be satisfied by the Ladyzhenskaya-Babuška-Brezzi (LBB) condition. (wikipedia.org)
  • A case study is presented, in which this method is shown together with the experimental analysis of the implemented algorithm. (leuphana.de)
  • The results obtained here are as follows : (1) The GSMAC method has been developed for magnetic fluid algorithm in a homogeneous magnetic field. (elsevierpure.com)
  • Behavior research methods, 48 (3),936-949. (bvsalud.org)
  • formed a Fourier analysis based on the random walk represen- erties in terms of thermodynamical and kinetic behavior, tation. (lu.se)
  • First, the issue of quantiles is addressed, followed by a brief outline of least squares estimators focusing on Ordinary Least Squares. (wikibooks.org)
  • Methods: We used a multivariable ordinary least squares model with turnover rate as the dependent variable. (cdc.gov)
  • Engle also showed that the ordinary least squares (OLS) estimator is not consistent if ARCH effects are present. (lu.se)
  • M. H. Afshar, M. Lashckarbolok, Collocated discrete least square (CDLS) meshless method: error estimate and adaptive refinement, International Journal for Numerical Methods in Fluids 56 (2008) 1909-1928. (wikipedia.org)
  • M.H.Afshar, and A.R. Firoozjaee, Adaptive Simulation of Two Dimensional Hyperbolic Problems by Collocated Discrete Least Squares Meshless Method, Computer and Fluids, 39, (2010) 2030-2039. (wikipedia.org)
  • In the present paper, the flow in a square cavity, filled with a magnetic fluid, to which a magnetic field is applied parallel to the moving wall, is numerically analyzed by the finite element method on the basis of governing equations for magnetic fluids with internal rotation. (elsevierpure.com)
  • While most of the existing meshless methods need background cells for numerical integration, DLSM did not require a numerical integration procedure due to the use of the discrete least squares method to discretize the governing differential equation. (wikipedia.org)
  • The estimates are refined iteratively by a least squares method. (esa.int)
  • It is shown that the KF obtained a higher estimation accuracy of the sum of squared residuals (SSR) index with respect to the least squares method (LSM), which minimises the squared estimate of errors (SSE). (leuphana.de)
  • REGRESS uses the least-squares method for determining coefficients. (cdc.gov)
  • With the applications in this paper it is shown that the presented adaptive sampling method improves the estimation of global sensitivity values, hence reducing the overall computational costs visibly. (uni-weimar.de)
  • Afshari, M. (2014) Wavelet Density Estimation of Censoring Data and Evaluate of Mean Integral Square Error with Convergence Ratio and Empirical Distribution of Given Estimator. (scirp.org)
  • Antoniadis, A., Gregoire, G. and Nason, P. (1999) Density and Hazard Rate Estimation for Right Censored Data Using Wavelet Methods. (scirp.org)
  • Estimation has been done by the Particle Swarm (PS) methods of global optimization. (uni-muenchen.de)
  • Mishra, S.K.: "Experiments on Estimation of the Parameters of Gielis Super-Formula by Simulated Annealing Method of Optimization" Social Science Research Network (SSRN): http://ssrn.com/abstract=910800 , Working Papers Series, 2006 (b). (uni-muenchen.de)
  • Spectroscopy is an effective method for the rapid detection of PAHs in soil, but the predictive performance is not satisfactory due to interference from other substances. (rsc.org)
  • Then, in order to obtain a better PLS calibration model, the influence of different pretreatment methods on the predictive performance of the PLS calibration model was explored, with the coefficient of determination ( R 2 ) and root mean square error (RMSE) as evaluation indicators. (rsc.org)
  • Methods: The predictive validity of published least squares MRA models is tested against naive benchmarks, alternative methods that are either plausible or commonly used, and evidence-based forecasting methods. (researchgate.net)
  • Originality: This paper presents the first stage of a project to comprehensively test the predictive validity of MRA relative to models derived using diverse alternative methods. (researchgate.net)
  • Use classical methods in Minitab Statistical Software, integrate with open-source languages R or Python, or boost your capabilities further with machine learning algorithms like Classification and Regression Trees (CART ® ) , TreeNet ® and Random Forests ® , now available in Minitab's Predictive Analytics Module . (minitab.com)
  • Eve, J. (1963) Starting Approximations for the Iterative Calculation of Square Roots. (scirp.org)
  • The Dakota toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. (sandia.gov)
  • By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the Dakota toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. (sandia.gov)
  • An iterative, thematic analysis of all three data sources was conducted to identify common themes related to the acceptability and feasibility of the online trial methodology. (who.int)
  • The method is based on the minimization of a least squares functional, defined as the weighted summation of the squared residual of the governing differential equation and its boundary conditions at nodal points used to discretize the domain and its boundaries. (wikipedia.org)
  • The method can be considered as an extension the earlier method of DLSM by the introduction of a set of collocation points for the calculation of the least squares functional. (wikipedia.org)
  • A simple a posteriori error indicator based on the value of the least squares functional and a node moving strategy was used and tested on 1-D hyperbolic problems. (wikipedia.org)
  • However, from a practical point of view, bound analysis is an important step towards proving functional correctness criteria of programs in resource-constrained environments: For example, in real-time systems intermediary results must be available within certain time bounds, or in embedded systems applications must not exceed hard constraints on CPU time, memory consumption, or network bandwidth. (springer.com)
  • PROT data base (6) of functional proteins, this method yields model containing only two amino acid types, hydrophobic and clear evidence for nonrandomness. (lu.se)
  • Therefore, in this study we present a novel adaptive sampling method based on a specific surrogate model, the least-squares support vector regresson. (uni-weimar.de)
  • The adaptive sampling method generates training data based on the uncertainty in local prognosis capabilities of the surrogate model - areas of higher uncertainty require more sample data. (uni-weimar.de)
  • The opportunities of the adaptive sampling method are proven in comparison with the LHS on different analytical examples. (uni-weimar.de)
  • Furthermore, the adaptive sampling method is applied to the calculation of global sensitivity values according to Sobol, where it shows faster convergence than the LHS method. (uni-weimar.de)
  • Afshar and Lashckarbolok used the CDLSM method for the adaptive simulation of hyperbolic problems. (wikipedia.org)
  • The method was then extended for adaptive simulation of two-dimensional shocked hyperbolic problems by Afshar and Firoozjaee. (wikipedia.org)
  • M.H.Afshar, M. Naisipour, J. Amani, Node moving adaptive refinement strategy for planar elasticity problems using discrete least squares meshless method, Finite Elements in Analysis and Design, 47, (2011) 1315-1325. (wikipedia.org)
  • M.H.Afshar, J. Amani, M. Naisipour, A node enrichment adaptive refinement by Discrete Least Squares Meshless method for solution of elasticity problems, Engineering Analysis with Boundary Elements, 36, (2012) 385-393. (wikipedia.org)
  • We study the performance of first- and second-order optimization methods for \(\ell _1\) -regularized sparse least-squares problems as the conditioning of the problem changes and the dimensions of the problem increase up to one trillion. (springer.com)
  • The effectiveness of the proposed method of image denoising is compared against the recently pro-posed sparse banded filter based image denoising technique. (amrita.edu)
  • The experimental result analysis shows that the proposed technique of least square image denoising outperforms the recently proposed sparse banded fil-ter based image denoising. (amrita.edu)
  • Mishra, S.K.: "Some Experiments on Fitting of Gielis Curves by Simulated Annealing and Particle Swarm Methods of Global Optimization", Social Science Research Network (SSRN): http://ssrn.com/abstract=913667, Working Papers Series, 2006 (d). (uni-muenchen.de)
  • Finally, low-level data fusion was achieved by concatenating Raman and infrared spectra into a matrix, and coupled with PLS to construct a quantitative analysis model of PAHs in soil. (rsc.org)
  • In summary, the combination of Raman and infrared spectroscopy is a promising alternative to rapid quantitative analysis of PAHs in soil. (rsc.org)
  • In an effort to improve the accuracy and ease of diagnosis, this study focused on developing a novel method for diagnosing DMD which combines Raman hyperspectroscopic analysis of blood serum with advanced statistical analysis. (nature.com)
  • This proof-of-concept study presents Raman hyperspectroscopic analysis of blood serum as an easy, fast, non-expensive, and minimally invasive detection method for distinguishing control and mdx model mice, with a strong potential for clinical diagnosis of DMD. (nature.com)
  • To improve the accuracy, ease, and potential of an early diagnosis, we focused on developing a novel method for diagnosing DMD using Raman hyperspectroscopic analysis of mdx mouse blood serum combined with advanced statistical analysis. (nature.com)
  • Generally, a surrogate model is created based on a set of training data, where a typical method for the statistical design is the Latin hypercube sampling (LHS). (uni-weimar.de)
  • ATSDR conducted an exposure investigation (hair analyses for arsenic) at the Child Developmental Center on February 1-2, 2001. (cdc.gov)
  • A chi-square test/ Fisher's exact test was run to determine the presence of a significant difference between the exposure variables and the development of PE. (who.int)
  • Received May 14, 1997 variability and to use this measure of variability to Using the Monte Carlo method and physiologically derive a safe exposure limit or guidance value for inha- based pharmacokinetic modeling, an occupational in- lation of trichloroethylene (TRI) in an occupational set- halation exposure to trichloroethylene consisting of ting. (cdc.gov)
  • Moreover, by using the electronic method in WL determination, the patient's exposure to radiation can be reduced because of the smaller number of radiographic shots. (bvsalud.org)
  • Nubia A mparo Giraldo Giraldo 1 principal component analysis were used to analyze the relationship between some variables and vitamin D status. (bvsalud.org)
  • The approach offers a cost efficient calculation due to the properties of the least-squares support vector regression. (uni-weimar.de)
  • Critical discussions of the environmental sustainability of analytical methods and its relevance for society at large. (lu.se)
  • In order to address large scale problems there has been a resurgence in methods with computationally inexpensive iterations. (springer.com)
  • However, classical least squares (CLS or forward least squares) techniques are seeing a resurgence in popularity. (eigenvector.com)
  • This study reports on a qualitative evaluation of the trial procedures, describing participants' experiences and views of the Sexunzipped online trial including methods of recruitment, incentives, methods of contact, and sexual health outcome measurement. (who.int)
  • METHODS: We used three qualitative data sources to assess the acceptability and validity of the online pilot RCT methodology: (1) individual interviews with 22 participants from the pilot RCT, (2) 133 emails received by the trial coordinator from trial participants, and (3) 217 free-text comments from the baseline and follow-up questionnaires. (who.int)
  • Mass spectrometric detection for quantitative and qualitative analysis connected to both gas and liquid chromatography. (lu.se)
  • curve fitting, the method of least squares and correlation. (uoguelph.ca)
  • A new modification of the multigrid method is employed to solve the elliptic pressure problem. (deepdyve.com)
  • We solve the guided modes of the present fiber by the CUDOS MOF Utilities [ 21 ] that simulate PCFs using the multipole method [ 22 , 23 ]. (hindawi.com)
  • Firoozjaee and Afshar proposed the collocated discrete least squares meshless (CDLSM) method to solve elliptic partial differential equations, and studied the effect of the collocation points on the convergence and accuracy of the method. (wikipedia.org)
  • Numerical analysis of magnetic fluid flow in a square cavity. (elsevierpure.com)
  • These methods can be combined with CLS to form Gray CLS models which have greatly improved prediction performance compared to conventional CLS. (eigenvector.com)
  • Many methods have been proposed to determine the working length of root canal from the patient's response to the pain provoked by surpassing the instrument through the apex foramen to the use of either conventional or digital radiographs 21 . (bvsalud.org)
  • An implicit finite‐difference operator‐splitting method, a version of the known SIMPLEC‐like method on a staggered grid, is described. (deepdyve.com)
  • In this study, the finite element analysis of the string planes of badminton racquets was investigated to evaluate the effect of the mechanical characteristics of polymer strings. (mdpi.com)
  • In mathematics the discrete least squares meshless (DLSM) method is a meshless method based on the least squares concept. (wikipedia.org)
  • proposed mixed discrete least squares meshless (MDLSM) formulation for solution of planar elasticity problems. (wikipedia.org)
  • H. Arzani, M.H. Afshar, Solving Poisson's equation by the discrete least square meshless method, WIT Transactions on Modelling and Simulation 42 (2006) 23-31. (wikipedia.org)
  • A.R. Firoozjaee, M.H. Afshar, Discrete least squares meshless method with sampling points for the solution of elliptic partial differential equations. (wikipedia.org)
  • M. Naisipour, M. H. Afshar, B. Hassani, A.R. Firoozjaee, Collocation Discrete Least Square (CDLS) Method for Elasticity Problems. (wikipedia.org)
  • J. Amani, M.H.Afshar, M. Naisipour, Mixed Discrete Least Squares Meshless method for planar elasticity problems using regular and irregular nodal distributions, Engineering Analysis with Boundary Elements, 36, (2012) 894-902. (wikipedia.org)
  • G. Shobeyri, M.H. Afshar, Simulating free surface problems using Discrete Least Squares Meshless method. (wikipedia.org)
  • Time series, fixed points, stability analysis and convergence schemes are studied and compared for both methods, in the approach of discrete dynamical systems. (scirp.org)
  • only a small fraction of them folded easily into a thermody- statistical analysis is performed in terms of blocked and namically stable state. (lu.se)
  • wavelength corresponding to -helix structure, as one might have statistical analysis on the sequences that fold well indicates expected, but also at large wavelengths. (lu.se)
  • However, because of its inherent uncertainty features of plasma, it is still a big challenge for LIBS community worldwide to realize high sensitivity and accurate quantitative analysis. (intechopen.com)
  • It is well known that there are two square roots and we ignore the negative square root here. (911weknow.com)
  • Moreover, the nonresponse problem is addressed in the same way for all users, so that analyses will be consistent across users. (cdc.gov)
  • M.R. Heikal 2000-02-01 00:00:00 Detailed results of numerical calculations of transient, 2D incompressible flow around and in the wake of a square prism at Re = 100, 200 and 500 are presented. (deepdyve.com)
  • The results indicate that GALS is robust and superior to the curlometer method for estimating the current from magnetic field measurements. (esa.int)
  • It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. (princeton.edu)
  • Here, we report the results of a blind benchmark study assessing eleven analysis tools used to infer kinetic rate constants from smFRET trajectories. (nature.com)
  • Results show modest improvements in asymptotic error factor over both commonly chosen baselines and learning methods from previous work. (sandia.gov)
  • However, these methods require specialized software and specialized skills to create the models and evaluate the results. (cdc.gov)
  • A prediction equation that can be used to assess roof support systems has been developed from the results of hundreds of FLAC3D analyses that were conducted during recent research. (cdc.gov)
  • RESULTS: Interview participants found the trial design, including online recruitment via Facebook, online registration, email communication with the researchers, and online completion of sexual health questionnaires to be highly acceptable and preferable to traditional methods. (who.int)
  • Each of the M completed data files is analyzed separately using the method that would be applied if the data were complete, and the variation in results among the M versions provides a measure of missing-data uncertainty in addition to the usual variation due to sampling. (cdc.gov)
  • The Chi-square/ Fisher's exact test results showed a significantly higher proportion of pa- tients with PE tend to present with shortness of breath, chest pain and anosmia/ageusia than those with no PE. (who.int)
  • A few analyses have been performed to realize high negative dispersion with triangular lattice PCF [ 8 - 15 ]. (hindawi.com)
  • Since the resulting governing equations are of the first order, both the displacement and stress boundary conditions are of the Dirichlet type, which is easily incorporated via a penalty method. (wikipedia.org)
  • Faber, X. and Voloch, J.F. (2011) On the Number of Places of Convergence for Newton's Method over Number Fields. (scirp.org)
  • In this chapter, we briefly summarize the progress of these calibration methods and their applications on LIBS and provide our recommendations. (intechopen.com)
  • As with ILS, CLS methods can be used for exploratory analysis, detection, classification and quantification. (eigenvector.com)
  • At optimized experimental conditions, square-wave voltammetric analysis exhibits higher sensitivity (50.5 μA·μM −1 ·cm −2 ), excellent selectivity, excellent stability (≈180 days), good reproducibility, and repeatability for interference-free detection of PT residues in actual samples. (beilstein-journals.org)
  • Multiple imputation allows the uncertainty due to imputation to be reflected in the analysis (Rubin, 1978, 1987 ). (cdc.gov)
  • We propose and demonstrate an original geometric argument for the ancient Babylonian square root method, which is analyzed and compared to the Newton-Raphson method. (scirp.org)
  • Verbeke, J. and Cools, R. (1995) The Newton-Raphson Method. (scirp.org)
  • Macleod, A.J. (1984) A Generalization of Newton-Raphson Method. (scirp.org)
  • Methods: A nested case control study was conducted among 131 patients with COVID-19 (40 COVID-19 patients with Pulmonary embolism and 91 COVID-19 patients with no PE) who were on follow up from May, 2021 to May, 2022. (who.int)
  • As a result, analyses of singly imputed data that treat the imputed values as if they were measured values tend to produce estimated standard errors that are too small, confidence intervals that are too narrow, and significance tests that reject the null hypothesis too often when it is true. (cdc.gov)
  • Journal of Data Analysis and Information Processing, 2, 1-5. (scirp.org)
  • Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. (princeton.edu)
  • In addition to covering the material in Data Analysis for Social Science , it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things. (princeton.edu)
  • Access modern data analysis and explore your data even further with our advanced analytics. (minitab.com)
  • acquire the skills to use python functions to measure predictor importance and model performance, use filtering methods, measure outcome error. (hse.ru)
  • Artificial neural networks (ANNs) are a non-linear projection-based ML method that share a structural equivalence with PLS, and as such should be amenable to equivalent optimisation and interpretation methods. (edu.au)