Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Abstract Structural equation models (SEMs) with latent variables are routinely used in social science research, and are of increasing importance in biomedical applications. Standard practice in implementing ...

Individual growth trajectories of psychological phenomena are often theorized to be nonlinear. Additionally, individuals’ measurement schedules might be unique. In a structural equation framework, latent growth curve model (LGM) applications typically have either (a) modeled nonlinearity assuming some degree of balance in measurement schedules, or (b) accommodated truly individually varying tim...

Purpose – Bridging indistinct relationships and online loyalty has become an important strategy for online interest-based communities’ operators and firms. The objective of this study is to draw on the elaboration likelihood model (ELM) to advance our understanding of the influences on the development of relationship quality and the consequent impact on members’ loyalty to online communities. D...

We present results from high resolution (R≃ 28000) spectra of six highredshift QSOs taken at the ESO NTT telescope that allow the detailed study of the Lyman-α population in the redshift interval z = 2.8− 4.1. The typical Doppler parameters found for the Lyman-α lines lie in the interval b = 20÷30 km s, corresponding to temperatures T > 24000 K, with a fraction of the order 15% in the range 10 ...

How hard are geometric vision problems with outliers? We show that for most fitting problems, a solution that minimizes the number of outliers can be found with an algorithm that has polynomial timecomplexity in the number of points (independent of the rate of outliers). Further, and perhaps more interestingly, other cost functions such as the truncated L2-norm can also be handled within the sa...

We study a popular algorithm for fitting polynomial curves to scattered data based on the least squares with gradient weights. We show that sometimes this algorithm admits a substantial reduction of complexity, and, furthermore, find precise conditions under which this is possible. It turns out that this is, indeed, possible when one fits circles but not ellipses or hyperbolas. In many applicat...

The analysis of interactive marketing campaigns frequently requires the investigation of latent constructs. Consequently, structural equation modeling is well established in this domain. Noticeably, the Partial-Least-Squares (PLS) algorithm is gaining popularity in the analysis of interactive marketing applications which may be attributed to its accuracy and robustness when data are not normall...

Statistical rate theory calculations, in particular formulations of the chemical master equation, are widely used to calculate rate coefficients of interest in combustion environments as a function of temperature and pressure. However, despite the increasing accuracy of electronic structure calculations, small uncertainties in the input parameters for these master equation models can lead to re...

We place additional constraints on the three parameters of the dark matter halo merger rate function recently proposed by Parkinson, Cole & Helly by utilizing Smoluchowski’s coagulation equation, which must be obeyed by any binary merging process which conserves mass. We find that the constraints from Smoluchowski’s equation are degenerate, limiting to a thin plane in the three-dimensional para...