Lack of careful consideration common method effects in empirical research can lead to several negative consequences for the interpretation outcomes, such as biased estimates validity and reliability measures employed well bias relationships between constructs interest, which turn affect hypothesis testing. Taken together, these make it very difficult any interpretations results when those are affected by substantive effects. In literature, there preventive, detective, corrective techniques...

The age of the population is shifting toward elderly range, which may lead to an increased risk mild cognitive impairment (MCI). aims this study are evaluate function in people using Montreal Cognitive Assessment (MoCA), identify relationship between and different characteristics, efficacy intervention after six months training. In study, we included 2886 subjects aged ≧60 years baseline survey, 140 with MCI who participated survey were randomly divided into group ( N = 70) a control 70)....

Saltwater intrusion in artificial canals is commonly caused by gravity currents; however, the influence of ship motion on currents remains unclear. This study investigates behavior influenced through laboratory experiments, focusing fluid dynamics and mixing process between dense light fluids under a single-ship passage disturbance. A lock-exchange setup with ship-model control system was used, where velocity linked to propeller rotation via apparent advance coefficient. Particle image...

Consider a Gaussian vector $\mathbf{z}=(\mathbf{x}',\mathbf{y}')'$, consisting of two sub-vectors $\mathbf{x}$ and $\mathbf{y}$ with dimensions $p$ $q$, respectively. With $n$ independent observations $\mathbf{z}$, we study the correlation between $\mathbf{y}$, from perspective canonical analysis. We investigate high-dimensional case: both $q$ are proportional to sample size $n$. Denote by $\Sigma_{uv}$ population cross-covariance matrix random vectors $\mathbf{u}$ $\mathbf{v}$, denote...

This paper discusses fluctuations of linear spectral statistics high-dimensional sample covariance matrices when the underlying population follows an elliptical distribution. Such often possesses high order correlations among their coordinates, which have great impact on asymptotic behaviors statistics. Taking such kind dependency into consideration, we establish a new central limit theorem for in this class populations. general theoretical result has wide applications and, as example, it is...

Sedimentation in the Three Gorges Reservoir (TGR) has been studied with a primary focus on amount due to decrease sediment inflow caused by water and soil conservation projects retention of recently constructed upstream cascade reservoirs. In this study, rate distribution sedimentation TGR were investigated. A total 1.6 billion tons was trapped from 2003 2015. The increased 60% during initial operation stage between 2005 82% normal 2006 Sediment finer than 0.008 0.016 mm contributed 44 61%...

This study experimentally examined the turbulent characteristics of decelerating open-channel flow based on particle imaging velocimetry measurement. The shows a similar velocity profile to that in uniform flow, but it exhibits greater turbulence intensity and Reynolds stress. Statistical evidence presence very-large-scale motions (VLSMs) flows was presented for first time. results indicate VLSMs can survive further away from wall when compared other wall-turbulence flows. contribution rate...

By considering elliptical correlations in the channel matrix of a large MIMO system, this paper investigates how non-linear dependency affects asymptotic behaviors Shannon's mutual information, as numbers antennas at transmitter and receiver both tend to infinity same rate. Beyond almost sure convergence information per transmit antenna, we also propose several central limit theorems for statistics under various scenarios. The results show that correlation has little impact on but tremendous...

In this paper, we are concerned with the independence test for $k$ high-dimensional sub-vectors of a normal vector, fixed positive integer $k$. A natural extension classical sample correlation matrix, namely block is proposed purpose. We then construct so-called Schott type statistic as our statistic, which turns out to be particular linear spectral matrix. Interestingly, limiting behavior can figured aid Free Probability Theory and Random Matrix Theory. Specifically, will bring real second...

Both hospital-acquired infection (HAI) and cancer represents major health concerns worldwide, but there is a paucity of data describing HAI in Chinese patients. The objective this study to demonstrate the prevalence, causative agents, antimicrobial use risk factors for hospital Southwestern China. We criteria Ministry Health People's Republic China define infections. One-day cross-sectional surveys were annually conducted from 2014 2018. Trained staff collected infections, clinical...

Variable selection in multivariate linear regression is essential for the interpretation, subsequent statistical inferences and predictions of problem at hand. It has a long history being studied, many regressor criteria have been proposed. Most commonly used include Akaike information criterion (AIC), Bayesian (BIC), Mallow's Cp their modifications. well-known that if true model among candidate models, then BIC strongly consistent while AIC not when only sample size tends to infinity...

In the present paper, we prove that under assumption of finite sixth moment for elements a Wigner matrix, convergence rate its empirical spectral distribution to semicircular law in probability is $O(n^{-1/2})$ when dimension n tends infinity.

In this paper, we propose a new test statistic for testing the equality of high-dimensional covariance matrices multiple populations. The proposed generalizes two population by Li and Chen (2012).

Let $\mathbf{B}_n=\mathbf {S}_n(\mathbf {S}_n+α_n\mathbf {T}_N)^{-1}$, where $\mathbf {S}_n$ and {T}_N$ are two independent sample covariance matrices with dimension $p$ sizes $n$ $N$, respectively. This is the so-called Beta matrix. In this paper, we focus on limiting spectral distribution function central limit theorem of linear statistics {B}_n$. Especially, do not require or to be invertible. Namely, can deal case $p>\max\{n,N\}$ $p