In marketing applications, it is common that some key covariates in a regression model are subject to missingness. Notably, in the estimation of discrete choice models using scanner data, the prices and promotion values for non-purchased products are often missing. In consumer relationship...

Using a unique panel dataset and a new model, this article investigates the dynamic effects of counterfeit sales on authentic-product price dynamics. We propose a Bayesian random-changepoint simultaneous equation model that simultaneously takes into account three important features in empirical...

In missing data analysis, there is often a need to assess the sensitivity of key inferences to departures from untestable assumptions regarding the missing data process. Such sensitivity analysis often requires specifying a missing data model which commonly assumes parametric functional forms...

Homogeneous Charge Compression Ignition (HCCI) combustion, also known as controlled auto-ignition (CAI), has been shown to reduce substantially NOX emissions and fuel consumption in gasoline engines. However, it is still confronted with the problem of its limited operation range. One of the...

The spark-assisted compression ignition (SACI) is widely used to expand the high load limit of homogeneous charge compression ignition (HCCI), as it can reduce the high heat release rate effectively while partially maintain the advantage of high thermal efficiency and low NOx emission...