This book covers root cause analysis (RCA), with an emphasis on using quality tools to
empirically investigate issues. It starts with the theoretical background and then provides …

Basu (2008) chaired a panel on ''Big Unanswered Questions in Accounting,''which was
subsequently published as a series of six commentaries in Accounting Horizons. In that …

Freestyle text data such as surveys, complaint transcripts, customer ratings, or maintenance
squawks can provide critical information for quality engineering. Exploratory text data …

Each type of data has various forms and behaviors. Therefore, the process of data analysis
cannot be standardized through a certain procedure. EDA is a data analysis approach that …

Throughout the literature on design of experiments, the need to perform confirmation runs
has been repeatedly emphasized. We provide a high-level framework for design of …

Complexity manifests itself in many ways when attempting to solve different problems, and
different tools are needed to deal with the different dimensions underlying that complexity …

This study explored the impact of confusion on concentration and cognition, emphasizing
the importance of detecting and preventing confusion from enhancing learning outcomes. By …

This book introduces both conceptual and procedural aspects of cutting-edge data science
methods, such as dynamic data visualization, artificial neural networks, ensemble methods …

Exploratory data analysis (EDA) is sometimes suggested as a hypothesis identification
approach. It is often used as such in problem solving and consists of the analysis of …

Multiple linear regression (MLR) and quantile regression (QR) models were developed for
the internal bond (IB) of medium density fiberboard (MDF). The data set that aligned the IB of …