Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students...

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the...

• Explore the basics of data discovery with QlikView
• Perform rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis
• Deploy data visualization best...

As the number of forensic science and forensic chemistry degree programs has increased over the last few years, Forensic Chemistry was the first book to specifically address this rapidly growing field. It introduces the principal areas of study from the perspective of analytical chemistry, addressing the legal context in which forensic...

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function.

This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers....