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by
Fujiwara, Rance James Toshiji, author.
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.44], p<0.001) were associated with decreased costs relative to the South. On multivariate analysis
by
Zubizarreta, Maria Elizabeth, author.
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. Multivariate partial least squares regression was used to determine statistically significant correlations
by
Li, Xintong, author.
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, univariate and multivariate random fields. Some efficient approaches are proposed to construct a variety of
by
Gonzalez, Josselyn, author.
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analysis of variance. We use each algorithm to cluster Fisher's Iris Flower data set, which consists of 3
by
Perry, Colin G., author.
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problems involving geometrically nonlinear analysis. This thesis also explores the application of Groebner
by
Won, Vera, author.
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For the statistical analysis, univariate descriptive statistics and multivariate logistic
by
Wong, Sze Wai, author.
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Statistical estimation problems in multivariate analysis and machine learning often seek linear
by
Marchese, Scott, author.
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(multivariate) density ratio model of Chapter 1 to generalize an existing, popular secondary data analysis model
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Jain, Neetu Jitendra, author.
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tabulations and multivariate logistic regression to create risk estimates using Statistical Analysis System
by
Sun, Xiaoqi, author.
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. Multivariate analyses of variance (MANOVA) were conducted to compare resultant groups on three distinct worry
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Sinclair, David A., author.
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Multivariate regression analysis identified suites of variables related to springs biodiversity
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Bierig, S. Michelle, author.
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abnormal test result (p=0.18). Multivariate analysis for independent predictors of a positive/abnormal

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