STATISTICS CENTER
GENERAL INFORMATION
The Cornell Statistics Center coordinates university-wide activities in statistics and probability at the graduate and research level. Students interested in graduate study in statistics and probability can apply to the field of statistics or to one of the other graduate fields of study that offer related course work.
Students in the field of statistics plan their graduate program with the assistance of their Special Committee. For detailed information on opportunities for graduate study in statistics and probability, students should contact the director of the Statistics Center, 610 Rhodes Hall.
The many different programs available to graduate students within the field of statistics can be broadly grouped as follows: biometry, biostatistics, economic and social statistics, operations research, probability theory, sampling theory, statistical computing, statistical design, statistical theory, and stochastic processes and their applications.
The following list contains selected courses in statistics and probability of interest to graduate students in the field of statistics.
Economics
519 Econometrics I
520 Econometrics II
619 Advanced Topics in Econometrics I
620 Advanced Topics in Econometrics II
Electrical Engineering
411 Random Signals
468 Communication Systems I
561 Error Control Codes
562 Fundamental Information Theory
563 Communication Networks
564 Decision Making and Estimation
567 Communication Systems II
577 Artificial Neural Networks
663 Advanced Topics in Information Theory
664 Foundations of Probability
Industrial and Labor Relations
310 Design of Sample Surveys
312 Applied Regression Methods
410 Techniques of Multivariate Analysis
411 Statistical Analysis of Qualitative Data
510-511 Introductory Statistics for the
Social Sciences
610 Seminar in Modern Data Analysis
611 Statistical Computing
612 Statistical Classification Methods
613 Bayesian and Conditional Inference
614 Structural Equations with Latent Variables
711 Sensitivity Analysis in Linear Regression
712 Theory of Sampling
713 Empirical Processes with a Statistical Application
714 Modern Distribution Theory
Mathematics
471 Basic Probability
472 Statistics
571-572 Probability Theory
573 Multivariate Analysis
574 Mathematical Statistics
670 Topics in Statistics
Operations Research
561 Queuing Theory and Its Application
562 Inventory Theory
563 Applied Time Series Analysis
575 Experimental Design II
577 Quality Control
580 Design and Analysis of Simulated Systems
630-631 Mathematical Programming I and II
650 Applied Stochastic Processes
651 Applied Probability
662 Advanced Stochastic Processes
663 Time-Series Analysis
665 Advanced Queuing Theory
670 Applied Statistics
671 Intermediate Applied Statistics
676 Statistical Analysis of Life Data
678 Asymptotic Methods in Statistics
680 Simulation
769 Selected Topics in Applied Probability
Statistics and Biometry
408 Theory of Probability
409 Theory of Statistics
417 Matrix Algebra
451 Mathematical Modeling of Populations
601-604 Statistical Methods I, II, III, and IV
605 Applied Regression Analysis
606 Sampling Biological Populations
607 Nonparametric and Distribution-Free Statistical Methods
642 Advanced Mathematical Population Studies and Modeling
651 Mathematical Population Studies
and Modeling
662 Mathematical Ecology
681 Topics in Environmental Statistics
697 Special Problems in Statistics and Biometry
717 Linear Models
718 Variance Components
795 Statistical Consulting
