George A. Milliken
Encyclopedia
George A. Milliken, Ph.D. is emeritus professor of statistics
at Kansas State University
. He is a Fellow of the American Statistical Association
and has published many papers in various statistical journals. Dr. Milliken is a co-author of the three volume Analysis of Messy Data series (Volume 1: Designed Experiments
; Volume 2: Nonreplicated Experiments; Volume 3: Analysis of Covariance
) and the co-author of the book SAS System
for Mixed Models
.
Dr. Milliken's books are widely referenced in the statistical research community. He has placed a significant emphasis of his professional research on the following areas:
Statistics
Statistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments....
at Kansas State University
Kansas State University
Kansas State University, commonly shortened to K-State, is an institution of higher learning located in Manhattan, Kansas, in the United States...
. He is a Fellow of the American Statistical Association
American Statistical Association
The American Statistical Association , is the main professional US organization for statisticians and related professions. It was founded in Boston, Massachusetts on November 27, 1839, and is the second oldest, continuously operating professional society in the United States...
and has published many papers in various statistical journals. Dr. Milliken is a co-author of the three volume Analysis of Messy Data series (Volume 1: Designed Experiments
Design of experiments
In general usage, design of experiments or experimental design is the design of any information-gathering exercises where variation is present, whether under the full control of the experimenter or not. However, in statistics, these terms are usually used for controlled experiments...
; Volume 2: Nonreplicated Experiments; Volume 3: Analysis of Covariance
ANCOVA
In statistics, analysis of covariance is a general linear model with a continuous outcome variable and two or more predictor variables where at least one is continuous and at least one is categorical . ANCOVA is a merger of ANOVA and regression for continuous variables...
) and the co-author of the book SAS System
SAS System
SAS is an integrated system of software products provided by SAS Institute Inc. that enables programmers to perform:* retrieval, management, and mining* report writing and graphics* statistical analysis...
for Mixed Models
Mixed model
A mixed model is a statistical model containing both fixed effects and random effects, that is mixed effects. These models are useful in a wide variety of disciplines in the physical, biological and social sciences....
.
Dr. Milliken's books are widely referenced in the statistical research community. He has placed a significant emphasis of his professional research on the following areas:
- Nonlinear mixed models
- LinearLinear modelIn statistics, the term linear model is used in different ways according to the context. The most common occurrence is in connection with regression models and the term is often taken as synonymous with linear regression model. However the term is also used in time series analysis with a different...
and nonlinear models - Design of experiments, appropriate experimental units
- Mixed models, repeated measures, non-replicated experiments
- Complex designs from designed experiments and observational studiesObservational studyIn epidemiology and statistics, an observational study draws inferences about the possible effect of a treatment on subjects, where the assignment of subjects into a treated group versus a control group is outside the control of the investigator...