Missing Data: Analysis and Design (2012)
John W. Graham, Pennsylvania State University
Enables non-statisticians to implement modern missing data procedures properly in their research.
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences (2010)
Linda M. Collins, Pennsylvania State University
Stephanie T. Lanza, Pennsylvania State University
A modern, comprehensive treatment of latent class and latent transition analysis for categorical data.
Models for Intensive Longitudinal Data (2006)
Theodore A. Walls, University of Rhode Island
Joseph L. Schafer, Pennsylvania State University
A new class of longitudinal data has emerged as a result of the use of technological devices for data collection in diverse areas of scientific inquiry.
Design and Modeling for Computer Experiments (2005)
Kai-Tai Fang, Hong Kong Baptist University
Runze Li, Pennsylvania State University
Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences.
Developing Statistical Software in Fortran 95 (2005)
David R. Lemmon, Pennsylvania State University
Joseph L. Schafer, Pennsylvania State University
The purpose of this project is to develop strategies for: programming efficient and accurate statistical routines in Fortran, and arranging them in modules that are easy to reuse, maintain and extend; calling these routines from many applications, including Excel, SAS, SPSS, S-PLUS, R and MATLAB; and connecting them to graphical user interfaces (GUIs) written in languages such as Visual Basic and C#.