Search results for "Explained sum of squares"

showing 5 items of 5 documents

Calibration transfer in chemiluminescence analysis

2001

Abstract Direct standardization (DS) and piecewise direct standardization (PDS) methods are applied to multivariate standardization of chemiluminescence signals using PLS model as the calibration model. The linear concentration interval of the chemiluminescence determination was determined. This interval was located using univariate robust calibration by least median of squares (LMS) method. The linear calibration model was corroborated by conventional least-squares method. The standardization subset and window size were optimized by means of the prediction residual error sum of squares. Several instrumental sources of variability have been studied: the detection cell, instrument, batch ver…

Calibration (statistics)Explained sum of squaresFluorescence spectrometryAnalytical chemistryBiochemistryAnalytical Chemistrylaw.inventionLuminolChemometricschemistry.chemical_compoundchemistrylawLinear regressionEnvironmental ChemistryQuantitative analysis (chemistry)SpectroscopyChemiluminescenceAnalytica Chimica Acta
researchProduct

A generalization of the orthogonal regression technique for life cycle inventory

2012

Life cycle assessment (LCA) is a method used to quantify the environmental impacts of a product, process, or service across its whole life cycle. One of the problems occurring when the system at hand involves processes delivering more than one valuable output is the apportionment of resource consumption and environmental burdens in the correct proportion amongst the products. The mathematical formulation of the problem is represented by the solution of an over-determined system of linear equations. The paper describes the application of an iterative algorithm for the implementation of least square regression to solve this over-determined system directly in its rectangular form. The applied …

Mathematical optimizationSettore ING-IND/11 - Fisica Tecnica AmbientaleGETLSLife cycle assessment LCA Allocatation GETILS Multi-Functionality Orthogonal Regression Total Least squaresAllocationMulti-FunctionalityExplained sum of squaresGeneralized least squaresLife Cycle AssessmentTotal Least SquaresLeast squaresRobust regressionIteratively reweighted least squaresNon-linear least squaresTotal least squaresLinear least squaresOrthogonal RegressionInformation SystemsMathematics
researchProduct

Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach

2014

This article is concerned with the stabilization problem for nonlinear networked control systems which are represented by polynomial fuzzy models. Two communication features including signal transmission delays and data missing are taken into account in a network environment. To solve the network-induced communication problems, a novel sampled-data fuzzy controller is designed to guarantee that the closed-loop system is asymptotically stable. The stability and stabilization conditions are presented in terms of sum of squares SOS, which can be numerically solved via SOSTOOLS. Finally, a simulation example is provided to demonstrate the feasibility of the proposed method. © 2014 Wiley Periodi…

Nonlinear systemMathematical optimizationPolynomialMultidisciplinaryGeneral Computer ScienceControl theoryControl systemStability theoryExplained sum of squaresStability (learning theory)Fuzzy logicMathematicsComplexity
researchProduct

Alternative Diagonality Criteria for SOBI

2015

Blind source separation (BSS) is a multivariate data analysis method, whose roots are in the signal processing community. BSS is applied in diverse fields, including, for example, brain imaging and economic time series analysis. In the BSS model there are interesting latent uncorrelated variables, and the aim is to estimate the latent variables from multiple linear combinations of them. In this article we assume that these variables are weakly stationary time series, and we consider estimation methods which are based on approximate joint diagonalization of autocovariance matrices. In the popular SOBI estimator, a set of matrices is most diagonal when the sum of squares of their diagonal ele…

AutocovarianceSeries (mathematics)DiagonalExplained sum of squaresEstimatorApplied mathematicsLatent variableLinear combinationBlind signal separationMathematics
researchProduct

DECLINE IN US OUTPUT GROWTH VOLATILITY: A WAVELET ANALYSIS*

2012

The aim of the paper is to determine (endogenously) whether the volatility of the US output growth rate has changed since the late 1940s. By applying the discrete wavelet transform to the annualized quarter-to-quarter output growth series, we test the homogeneity of the variance on a scale-by-scale basis. A version of the Normalized and Centered Cumulative Sum of Squares test, adapted to wavelets, leads us to reject the null of constant variance in the two levels of decomposition of the highest resolution and to locate a single break in 1982. The economic implications are explored.

Discrete wavelet transformEconomics and EconometricsWaveletHomogeneity (statistics)StatisticsExplained sum of squaresEconometricsEconomicsGrowth rateVolatility (finance)The Manchester School
researchProduct