This chapter examines the use of flexible methods to approximate an unknown density function, and techniques appropriate for visualization of densities in up to four dimensions. The statistical analysis of data is a multilayered endeavor. Data must be carefully examined and cleaned to avoid...

In this paper, we consider the visualization and statistical modeling of financial data (e.g., sales, assets) for many global firms which are listed and delisted. This study presents an exploratory data analysis carried out in the R programming language. The results show that a log-linear model...

Who would want to be biased? Bias seems obviously, inherently bad. An example of a biased estimator is one that excludes explanatory variables, such as a model of school dropout rates that excludes science test scores. Another example is a model that restricts the allowed parameter values, such...