Description
Limit theorems. Sampling distributions. Parametric estimation. Concepts of sufficiency and efficiency. Neyman-Pearson paradigm, likelihood ratio tests. Parametric and non-parametric methods for two- sample comparisons. Notions of experimental design, categorical data analysis, the general linear model, decision theory and Bayesian inference.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for STAT 5600 .
- Also offered at the undergraduate level, with different requirements, as STAT 4500 , for which additional credit is precluded.
Reference text in its original language
Limit theorems. Sampling distributions. Parametric estimation. Concepts of sufficiency and efficiency. Neyman-Pearson paradigm, likelihood ratio tests. Parametric and non-parametric methods for two- sample comparisons. Notions of experimental design, categorical data analysis, the general linear model, decision theory and Bayesian inference.
- Precludes additional credit for Precludes additional credit for STAT 5600 .
- Also offered at the undergraduate level, with different requirements, as STAT 4500 , for which additional credit is precluded.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/STAT/