Greg McMillan is a member of the Process Automation Hall of Fame (2001). Pierce Wu is a simulation project engineer at Mynah Technologies. The most important process variable on the process flow ...

This report proposes a stepwise process covering the range of considerations to systematically consider key choices for study design and data analysis for non-interventional studies with the central ...

Overview of the proposed process guide PRINCIPLED (process guide for inferential studies using healthcare data from routine clinical practice to evaluate causal effects of drugs) is a five step ...

ABSTRACT: Inferential models are widely used in the chemical industry to infer key process variables, which are challenging or expensive to measure, from other more easily measured variables. The aim ...

Despite the highest importance of studying the inferential process in psychotherapy, few systematic studies deal with the ways in which psychotherapists work with the material offered by their ...

Abstract: The plausibility and robustness of an inferential control system entirely depend on the prediction accuracy of the estimator used as the feedback element. This paper is based on a previously ...

Abstract: The connections between coherent probabilities and possibilities are studied from an inferential point of view. We introduce a condition of weak logical independence between two partitions L ...

Research in Experimental Pragmatics has shown that deriving scalar implicatures involves effort and processing costs. This finding was robust and replicated across a wide variety of testing techniques ...

In the previous article we covered the application of regression analysis to the development of inferential properties. Here we focus on their validation, prior to commissioning DEVELOPERS of ...

Notifications You must be signed in to change notification settings Inferential statistics can be contrasted with descriptive statistics. Descriptive statistics is solely concerned with properties of ...