The current study tested the emotional reactivity of smokers with and without histories of major depression (MDD Hx) and trauma exposure (TE). Four counterbalanced conditions nested negative (e.g., dysphoric) or neutral mood inductions with in vivo versus control smoking paraphernalia cues (Neutral+Control; Neutral+Cigarette; Neg+Control; Neg+Cigarette). Mixed model analysis of covariance (ANCO...

Probabilistic association discovery aims at identifying the association between random vectors, regardless of number of variables involved or linear/nonlinear functional forms. Recently, applications in high-dimensional data have generated rising interest in probabilistic association discovery. We developed a framework based on functions on the observation graph, named MeDiA (Mean Distance Asso...

This article examines the adjustment of normal theory methods for the analysis of covariance structures to make them applicable under the class of elliptical distributions. It is shown that if the model satisfies a mild scale invariance condition and the data have an elliptical distribution, the asymptotic covariance matrix of sample covariances has a structure that results in the retention of ...

We specify a class of Gaussian rank-r latent models for cross-covariance. We show by construction that any variance-covariance matrix for the observed variables induced by rank-r reduced-rank regression can be induced by a rank-r latent model. 1 Model specification Basic terms are introduced which will be used to state the result. 1.1 Rank-r constraint models Let p be the number of X-variables ...

Longitudinal data from 105 junior high school students were analyzed to examine the relationship between gender and identity development over time. Analysis of variance, t tests, and analysis of covariance were employed. Taken collectively, results indicated that patterns of change over time were similar for males and females; as the students aged, they grew in psychosocial maturity regardless ...

The knowledge of the cross correlation of the errors of local estimates is needed in many techniques for distributed fusion. In fact, this cross covariance is a key quantity for the best linear unbiased estimation (BLUE), also known as linear minimum mean-square error (LMMSE) estimation, and optimal weighted least squares (WLS) fusion rules presented in Part I [8]. This paper presents exact, ex...

We applied multivariate genetics techniques to a sample of 3,412 monozygotic and dizygotic twins from the United Kingdom and 1,300 monozygotic and dizygotic twins from the United States to examine whether genetic factors account for part of the covariance between the Big Five personality characteristics and the tendency to be an entrepreneur. We found that common genes influenced the phenotypic...

This paper proposes an edge-directed interpolation algorithm for natural images. The basic idea is to first estimate local covariance coefficients from a low-resolution image and then use these covariance estimates to adapt the interpolation at a higher resolution based on the geometric duality between the low-resolution covariance and the high-resolution covariance. The edge-directed property ...

This research was conducted to reveal the relationship between swimming and some psychological parameters. The goal is define effect of week-8 training program on assertiveness attention levels high school students aged 15-18 in Sakarya city Turkey.For investigating relationship, (100) voluntarily participated study. All partici-pants divided into two groups as control experiment. In process th...