This simulation investigates bias in trait factor loadings and intercorrelations when analyzing multitrait-multimethod (MTMM) data using the correlated uniqueness (CU) confirmatory factor analysis (CFA) model. A theoretical weakness of the CU model is the assumption of uncorrelated methods. However, previous simulation studies have shown little bias in trait estimates even when true method corr...

(in a chimney plume of an near-source oil palm processing plant) (MacKenzie et al., 2011). The aerosol loadings in the experiments performed here start well below these levels, and then increase through each run to reach levels considerably higher than the loadings in northern Borneo. Thus, it is likely that we observe more higher volatility species in the aerosol phase than we would at atmosph...

The performance results of the athletes competed in the 1988-2008 Olympic Games were analyzed (n = 166). The data were obtained from the IAAF official protocols. In the principal component analysis, the first three principal components explained 70% of the total variance. In the 1st principal component (with 43.1% of total variance explained) the largest factor loadings were for 100m (0.89), 40...

We develop tests for structural breaks of factor loadings in dynamic factor models. We focus on the joint null hypothesis that all factor loadings are constant over time. Because the number of factor loading parameters goes to infinity as the sample size grows, the conventional test cannot be used. Based on the fact that the estimated factors will demonstrate a higher dimension under the altern...

Sea ice variability in the Labrador Sea is of climatic interest because of its relationship to deep convection, mode-water formation, and the North Atlantic atmospheric circulation. Historically, quantifying the relationship between sea ice and ocean variability has been difficult because of in situ observation paucity and technical challenges associated with synthesizing observations with nume...

Abstract Principal component analysis (PCA) is a most frequently used statistical tool in almost all branches of data science. However, like many other tools, there sometimes the risk misuse or even abuse. In this paper, we highlight possible pitfalls using theoretical results PCA based on assumption independent when are time series. For latter, state with proof central limit theorem eigenvalue...

The large increase of distributed generation (DG) of photovoltaic (PV) systems in low voltage (LV) grids results in increasing voltage magnitudes and line loadings. Due to a lack of network observability in present LV grids, distribution system operators (DSOs) cannot detect and respond to any limit violations. Even with data collected by the expected rollout of smart meters, full network obser...

The Kirchhoo approximation is used to determine the sea state bias in radar altimetry. A weakly nonlinear model of the sea waves is used to derive the joint moments of two diierent points separated by a distance ~ R; the bias moment is formulated, and found for power law spectra. The method provides a consistent analysis of the sea state bias and avoids the need to trun-cate the high frequency ...

This paper investigates the residual stresses induced by a longitudinal turning operation in 15-5PH martensitic stainless steel. An experimental investigation has quantified sensitivity of to cutting speed, feed, tool geometry and flank wear. In parallel, 3D hybrid model, previously developed, been applied each case study. modelling approach consists replacing tooling chipping equivalent therma...