How To Use Least squares In A Sentence
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The solid line depicts the normal least squares regression line.
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The equations were also estimated with ordinary least squares regression, and very similar results were obtained.
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Regression through the origin with phylogenetically independent contrasts … which is equivalent to phylogenetic generalized least squares (PGLS) analysis, accounts for the nonindependence of species and indicates no overall evolutionary relationship between the traits … The apparent pattern across species was driven by positively correlated trait change only at the basal split of the phylogeny; throughout the rest of the phylogeny, the traits mostly changed in opposite directions (A; basal contrast in red) ….
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The conventional approach to such questions is to use ordinary least squares regression methods, which are often unsatisfactory.
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This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
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The conventional approach to such questions is to use ordinary least squares regression methods, which are often unsatisfactory.
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In nickel corrin, the distortion is small but very regular and tetrahedral in character in relation to the nickel atom; alternate nitrogen atoms, bonded to it, lie above and below the least squares plane passing through the nickel and four nitrogen atoms.
Nobel Lecture The X-Ray Analysis Of Complicated Molecules
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Cotes discovered an important theorem on the nth roots of unity, anticipated the method of least squares and discovered a method of integrating rational fractions with binomial denominators.
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HEM is built up with projects history data by statistic regression analysis and the least squares.
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Differences in consumers 'credit knowledge using OLS and quantile regressions. (ordinary least squares): An article from: Journal of Consumer Affairs by Angela C. Lyons
OpEdNews - Quicklink: Banks fight to kill proposed consumer protection agency
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Parameter estimation as minimization – intro to method of least squares, introduction to probability theory, conditional and joint probabilities, statistical independence.
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Cotes discovered an important theorem on the nth roots of unity, anticipated the method of least squares and discovered a method of integrating rational fractions with binomial denominators.
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This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
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But if we had to use historical data instead, we would sove the problem of multicollinearity by using factor analysis or partial least squares, both of which combine the data into fewer, but independent predictors.
Multicollinearity and Micronumerosity, Bryan Caplan | EconLog | Library of Economics and Liberty
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The slope and intercept are calculated by a linear least squares program.
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NET statistics library that provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, linear regression, hypothesis testing, ANOVA, multivariate statistics, partial least squares, clustering, and nonnegative matrix factorization (NMF).
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