Data from repeated measures experiments are usually analyzed with conventional ANOVA. Three well-known problems with ANOVA are the sphericity assumption, the design effect (sampling hierarchy), and the requirement for complete designs and data sets. This tutorial explains and demonstrates multi-level modeling (MLM) as an alternative analysis tool for repeated measures data. MLM allows us to est...

Over the last decade multi-level modeling (MLM) approaches have been addressing the need for relaxing the strict constraints on intraand interlayer type-instance relationships that are imposed by traditional approaches to meta-modeling. In this paper we explore MLM approaches in the context of Software Product Line Engineering (SPLE), propose a meta-language, and show how it can represent three...

Multilevel Models (MLM) have pioneered the analysis of hierarchical data of two or more levels. Agent-Based Models (ABM) are also used to analyse social phenomena in which there are two or more levels involved. This paper addresses a comparison between MLM and ABM. To provide a basis of comparison, we focus on differential school effectiveness analysis, where MLM has been well studied, using da...

Understanding how the leaf area density (a(z)) and its depth integrated value, the leaf area index (LAI), modify dry deposition velocities (Vd) of aerosol particles within the canopy sub-layer is needed for progressing on a plethora of aerosol related problems in climate change, air quality, and ecosystem service evaluation. Here, the interplay between a(z) (and LAI) of tall and densely foreste...

In the paper a new Multi-Layers approach (called MultiLayers Model MLM) for the analysis of stochastic signals and its application to the analysis of gene expression data is presented. It consists in the generation of sub-samples from the input signal by applying a threshold technique based on cut-set optimal conditions. The MLM has been applied on synthetic and real microarray data for the ide...

VALID RESEARCH ON NEGLECT REHABILITATION DEMANDS A STATISTICAL APPROACH COMMENSURATE WITH THE CHARACTERISTICS OF NEGLECT REHABILITATION DATA: neglect arises from impairment in distinct brain networks leading to large between-subject variability in baseline symptoms and recovery trajectories. Studies enrolling medically ill, disabled patients, may suffer from missing, unbalanced data, and small ...

Forest height is an essential parameter used to derive important information about forest ecosystems, such as above-ground biomass. In this article, a estimation approach combining P-band and X-band interferometric synthetic aperture radar (InSAR) was introduced. The estimated using the difference in penetration of long- short-wavelength radars forest. That is, InSAR data were extract digital t...

Multilevel Models (MLM) have pioneered the analysis of hierarchical data, with two or more levels. Agent-Based Models (ABM) are also used to analyse social phenomena in which there are two or more levels involved. This paper addresses the integration between MLM and ABM. To provide a basis of comparison, we focus on differential school effectiveness analysis, where MLM has been well studied, us...

This paper explores the capability of the mixed-layer model (MLM) to represent the observed relationship between low-cloud fraction and lower-tropospheric stability; it also investigates the influence of large-scale meteorological fields and their variabilities on this relationship. The MLM’s local equilibrium solutions are examined subject to realistic boundary forcings that are derived from r...

The multivariate analyses are useful tools to estimate the genetic variability between accessions. In the breeding programs, the Ward-Modified Location Model (MLM) multivariate method has been a powerful strategy to quantify variability using quantitative and qualitative variables simultaneously. The present study was proposed in view of the dearth of information about popcorn breeding programs...