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Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Predictive Correlation Screening Application Two-stage Predictor Design High Dimension
2013/4/27
We introduce a new approach to variable selection, called Predictive Correlation Screening, for predictor design. Predictive Correlation Screening (PCS) implements false positive control on the select...
Is satisfaction a direct predictor of nursing turnover? Modelling the relationship between satisfaction, expressed intention and behaviour in a longitudinal cohort study
nursing turnover satisfaction expressed intention behaviour a longitudinal cohort study
2009/9/27
Results partially support the theory of planned behaviour. Intentions expressed by nurses are stronger predictors of working as a nurse than job satisfaction. Retention strategies should focus on iden...
Which is a Better Predictor of Job Performance:Job Satisfaction or Life Satisfaction?
Job Performance Job Satisfaction Life Satisfaction
2009/7/15
Will people who are happy with their jobs exhibit superior job performance?
Researchers have examined the “happy worke is a productive worker” postulation for
decades and concluded the relationship...
On a role of predictor in the filtering stability
nonlinear filtering stability martingale convergence
2009/4/22
When is a nonlinear filter stable with respect to its initial condition? In spite of the recent progress, this question still lacks a complete answer in general. Currently available results indicate t...
Perceived Organisational Justice as a Predictor of Employees’ Motivation to Participate in Training
Organisational Justice Predictor Employees’Motivation
2009/4/10
Employees’ training motivation arising from their judgements of justice can be a critical asset that a business has for gaining a sustained competitive advantage over rivals. This study sought to exam...
When is a nonlinear filter stable with respect to its initial condition? In spite of the recent progress, this question still lacks a complete answer in general. Currently available results indicate t...
Bayesian multinomial regression with class-specific predictor selection
Bayesian model averaging classification Markov chain MonteCarlo multinomial models
2010/3/17
Consider a multinomial regression model where the response,
which indicates a unit’s membership in one of several possible unordered
classes, is associated with a set of predictor variables. Such
m...