by
Kemp, Malcolm.
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analysis and independent components analysis -- 4.5.1 Introduction -- 4.5.2 Including both variance and
by
Millar, Russell B.
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Introduction -- 8.2 Wedderburn's quasi-likelihood -- 8.2.1 Quasi-likelihood analysis of barley blotch data in R
by
Brandimarte, Paolo.
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parameters -- 10.3.4 The R2 coefficient and ANOVA -- 10.3.5 Analysis of residuals -- 10.4 Using regression
by
Zhou, Xiao-Hua.
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Regression Models for ROC Curves -- 8.2.2 Direct Regression Models for ROC Curves -- 8.3 Regression Models
by
Webb, Andrew R.
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Multiclass SVMs -- 5.4.5 SVMs for Regression -- 5.4.6 Implementation -- 5.4.7 Example Application Study -- 5
by
Agung, I. Gusti Ngurah.
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data analysis - from multivariate analysis and nonlinear models to non-parametric regression Presents a
by
Alexander, Carol.
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Models -- II.1.4.3 Estimating Fundamental Factor Models by Orthogonal Regression -- II.1.5 Analysis of
by
Neogy, S. K.
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-- 11.5 Hedging Prices -- Bibliography -- 12. Mathematical Programming and Electrical Network Analysis
by
Wile, Bruce.
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-- CHAPTER 13: COMPLETING THE VERIFICATION CYCLE -- 13.1 REGRESSION -- 13.1.1 Regression in the Verification
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Lachin, John M.
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unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the
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Molland, Anthony F.
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evaluation -- 5.1.3.1 Traditional and standard series analysis methods -- 5.1.3.2 Regression-based methods
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Taghizadegan, Salman, 1957-
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correlation analysis -- 9.9.2 Simple linear regression model and analysis -- 9.9.3 Linear regression model
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