For a complete description, see MATH 500*. PREREQUISITE
This course is a PREREQUISITE for theoretical statistics courses and further courses in probability and stochastic processes. Basic probability...
Intermediate probability theory as a basis for further study in mathematical statistics and stochastic processes; probability measures, expectations;...
Exploratory data analysis -- graphical and statistical analysis and presentation of experimental data.
Many systems evolve with an inherent amount of randomness in time and/or space. The focus of this course is on developing and analyzing methods for...
A review of the basic tools of probability and definitions and illustrations of various concepts of applied stochastic processes. Topics include:...
Course is identical to STAT 367 with the exception that STAT 367 has one extra tutorial session. (38/0/0/4/0)~ COURSE DELETED IN 2009/10 ~ ...
A basic course in statistical methods with the necessary probability included. Topics include probability models, random variables, distributions,...
Basic ideas of probability theory such as random experiments, probabilities, random variables, expected values, independent events, joint...
Basic techniques of statistical estimation such as best unbiased estimates, moment estimates, maximum likelihood. Bayesian methods. Hypotheses...
Basic probability theory; conditioning; densities, expectation; jointly distributed random variables, transformations, generating functions, limit...
Intermediate probability
A detailed study of simple and multiple linear regression, residuals and model adequacy. The least squares solution for the general linear regression...
PREREQUISITE
PREREQUISITES
Markov chains, birth and death processes, random walk problems, elementary renewal theory, Markov processes, Brownian motion and Poisson processes,...
A course in applied statistics with topics to include: planning a survey, questionnaire design, concepts in sampling from a finite population, simple...