자연주의적 탐구조사(Naturalistic Inquiry)

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Social Network Analysis

What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

The costs of construction injuries can have a substantial impact on the financial success of construction organizations and increase the overall costs of construction up to 15%. Following the Occupational Safety and Health Act of 1970, construction firms began to implement a variety of management techniques to reduce the frequency of injuries. Although these strategies decrease the cost of injuries, they consume time and other significant resources. Thus, it is imperative for construction organizations to objectively evaluate the cost-benefit of investments in injury prevention through formal and robust processes. This paper presents a risk-based framework that can be used to evaluate the incremental return on investment of a series of investments in highly effective injury prevention strategies. The framework was developed using foundational risk quantification and analysis techniques and is illustrated using a hypothetical case study that is based on archival data published by United States government a...

Risk-Based Framework for Safety Investment in Construction Organizations

https://isiarticles.com/bundles/Article/pre/pdf/801.pdf

Safety risk management for electrical transmission and distribution line construction

Improving safety performance is paramount to the success of oil and gas construction projects. Although considerable attention has been paid to developing and using new types of safety performance indicators, contractor safety has traditionally been measured and managed through lagging indicators. Alternatively, risk mitigation measures can be used to predict safety performance as leading indicators. Several research studies have been performed on safety leading indicators; however, no research has empirically validated the predictive validity of candidate indicators. To address this knowledge gap, empirical data were used to measure both potential safety leading and lagging indicators in an effort to test the hypothesis that variability in candidate safety leading indicators predicts variability in lagging indicators of safety performance. A total of 261 contractors were included in the study, with more than 60,000 data points. Using principal factor analysis, model building, and regression, fact...

Predictive Validity of Safety Leading Indicators: Empirical Assessment in the Oil and Gas Sector

Making construction safety training interesting: a field-based quasi-experiment to test the relationship between emotional arousal and situational interest among adult learners

Matthew R. Hallowell

Papers

Risk-Based Framework for Safety Investment in Construction Organizations

Safety risk management for electrical transmission and distribution line construction

Predictive Validity of Safety Leading Indicators: Empirical Assessment in the Oil and Gas Sector

Making construction safety training interesting: a field-based quasi-experiment to test the relationship between emotional arousal and situational interest among adult learners

Worker Fatigue: Managing Concerns in Rapid Renewal Highway Construction Projects