نتایج جستجو برای: anova analyses

تعداد نتایج: 427588  

Journal: :European journal of orthodontics 2009
Nabila Anwar Mubassar Fida

The purpose of this study was to quantitatively evaluate skeletal and dental compensation in patients with vertical skeletal dysplasias and to determine which dentoalveolar parameters compensate for vertical jaw discrepancies. Cephalometric analyses were performed on pre-treatment lateral cephalographs of 186 orthodontic patients (120 females and 66 males; mean age 15 years 11 months) who met t...

2017
Guido Alessandri Antonio Zuffianò Enrico Perinelli

A common situation in the evaluation of intervention programs is the researcher's possibility to rely on two waves of data only (i.e., pretest and posttest), which profoundly impacts on his/her choice about the possible statistical analyses to be conducted. Indeed, the evaluation of intervention programs based on a pretest-posttest design has been usually carried out by using classic statistica...

Journal: :Annales Universitatis Mariae Curie-Skłodowska, sectio H, Oeconomia 2015

Journal: :The American Statistician 1978

Journal: :Journal of Modern Applied Statistical Methods 2005

Journal: :Electronic Transactions on Numerical Analysis 2021

Inspired by the analysis of variance (ANOVA) decomposition functions, we propose a Gaussian-uniform mixture model on high-dimensional torus which relies assumption that function wish to approximate can be well explained limited variable interactions. We consider three approaches, namely wrapped Gaussians, diagonal and products von Mises distributions. The sparsity is ensured fact its summands a...

Journal: :International journal of bioinformatics research and applications 2005
Suman Sundaresh She-pin Hung G. Wesley Hatfield Pierre Baldi

This paper analyses variability in highly replicated measurements of DNA microarray data conducted on nylon filters and Affymetrix GeneChips with different cDNA targets, filters, and imaging technology. Replicability is assessed quantitatively using correlation analysis as a global measure and differential expression analysis and ANOVA at the level of individual genes.

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