Experimental Statistics

Collection Development Policy Statement

Library's Collection Development Objectives

The Department of Experimental Statistics is the principal source of statistical education, research, and service at LSU and is unique in its strong orientation toward the application of statistics. The faculty consists of eight graduate faculty and three associated faculty members. They provide expert statistical support for the university community, routinely serve on graduate committees in other departments and collaborate on interdisciplinary research projects, in addition to directing graduate students in statistics and conducting independent research program.

Curriculum Program Descriptions

No undergraduate program is available. The Master of Applied Statistics offered by this department is designed to acquaint students with the techniques of statistical methods and their applications at various fields of specialization such as categorical data analysis, population statistics and statistical genetics.

Areas of Specialization/Research 

• Nonparametric statistics, social/ behavioral science statistics, survey/ experimental design, linear models.
• Spatial statistics, discrete data models, biostatistical applications.
• Statistical methods, linear/ non-linear regression, survival analysis.
• Biological modeling, quantitative ecology.
• Regression analysis, mixed linear models, linear estimation.
• Generalized linear models, biased estimation.
• Mathematical statistics.
• Multivariate analysis, repeated measures, statistical computing.
• Marine science and fisheries statistics.
• Nonparametric functional estimation, robust statistics, stochastic processes.
• Population dynamics, statistical ecology.

CD ROMs, Electronic Books, Remotely Accessed Texts

LSU Libraries will purchase CD ROM works on a case by case basis when requested by faculty members or graduate students in need of enhanced capabilities afforded by CD ROMs. The LSU Libraries recognizes that electronic information, e-books, electronic paper, etc. merit attention. The purchase of access to remote data and texts, such as J-STOR and others, will be pursued when the ownership of remote products will benefit the greatest number of students, staff, and faculty at the best possible price. Purchase of remotely accessed texts must follow the policy and procedures set forth in Procedures for Acquiring and Processing Electronic Resources.

Classed Analysis

See Appendix A.

Prepared: January 15, 1998