The primary purpose of this study is to identify the key predictor of undergraduate students’ intentions to use social networking sites. Technology acceptance model with three main unobserved variables, attitude, perceived behavior control, and subjective norms was employed as research framework. Seven other unobserved variables were added to the research framework. A technology acceptance ques...

This study tested a conceptual model to determine the strengths and directions ofrelationshzps between selected predictor variables and the attitude of employers about vocational education. Personal characteristics of employers and characteristics of the firm served as predictor variables. Variables significantly related with employer attitude were type of business, employee educational level, ...

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objective: the measurement of follicular output rate (fort) has been proposed as a good indicator for evaluating follicular response to the exogenous recombinant folliclestimulating hormone (rfsh). this places fort as a promising qualitative marker for ovarian function. the objective of the study was to determine fort as a predictor of oocyte competence, embryo quality and clinical pregnancy af...

We discuss two estimation methods for tting linear dynamic systems. The rst is the existing DYNAMALS algorithm, that uses Alternating Least Squares and a majorization substep. With this method, it is di cult to ensure that the latent states are completely in the space of the predictor variables. We propose an alternative method that uses a single step algorithm. After direct implementation, the...

Let Z = (Y , X 1, ..., X i m), i = 1, ..., n, be i.i.d. random vectors, Z ∼ F, F ∈ F . It is desired to predict Y by βjXj , where (β1, ..., βm) ∈ B ⊆ R, under a prediction loss. Suppose that m = n, α > 1, i.e., there are many more explanatory variables than observations. We consider sets B restricted by the maximal number of non-zero coefficients of their members, or by their l1 radius. We stud...

Understanding children's physical activity (PA) patterns and the factors that may influence PA are important for developing interventions within this population. One hundred and ten children aged 9-10 years from 8 schools had their PA patterns assessed over 7 days. Physiological and self-report data were also collected. Multilevel analyses revealed that cardiorespiratory fitness was a consisten...

â  lake urmia, the third hyper-saline lake in the world and because of its climatic, economic, social and ecological/environmental importance is a populated region in iran. recently, severe drought periods and low water levels are causing problems in this lake. therefore, it is urgent and desirable to evaluate urmia water level fluctuations in a scientific ways. urmia lake water level the same ...

Logistic regression is one of the most widely applied machine learning tools in binary classification problems. Traditionally, inference of logistic models has focused on stepwise regression procedures which determine the predictor variables to be included in the model. Techniques that modify the log-likelihood by adding a continuous penalty function of the parameters have recently been used wh...

In classical multiple linear regression analysis problems will occur if the regressors are either multicollinear or if the number of regressors is larger than the number of observations. In this note a new method is introduced which constructs orthogonal predictor variables in a way to have a maximal correlation with the dependent variable. The predictor variables are linear combinations of the...