This reference describes the indicated catalogue. Check with the institution to confirm the current offer and the conditions applicable to your intake.
Description
Mathematical Statistics II Multivariate, marginal and conditional distributions, independence, expectation, covariance, conditional expectation. Functions of random variables, transformation techniques, order statistics. Special and limiting distributions. Proof of central limit theorem. Point estimation: efficiency, consistency, law of large numbers, sufficiency, Rao-Blackwell theorem MVUE. Interval estimation. Hypothesis testing: Neyman-Pearson theory, likelihood ratio test, Bayesian inference. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): STAT (MATH) 2P03 and STAT (MATH) 2P82 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. This course has been approved by the Society of Actuaries as a VEE credit in Mathematical Statistics. Completion of this course will replace previously assigned grade and credit obtained in MATH 3P85.
Prerequisites
- Prerequisite(s): STAT (MATH) 2P03 and STAT (MATH) 2P82 or permission of the instructor.
Conditions and arrangements
- Prerequisite(s): STAT (MATH) 2P03 and STAT (MATH) 2P82 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. This course has been approved by the Society of Actuaries as a VEE credit in Mathematical Statistics. Completion of this course will replace previously assigned grade and credit obtained in MATH 3P85.
Reference text in its original language
Mathematical Statistics II Multivariate, marginal and conditional distributions, independence, expectation, covariance, conditional expectation. Functions of random variables, transformation techniques, order statistics. Special and limiting distributions. Proof of central limit theorem. Point estimation: efficiency, consistency, law of large numbers, sufficiency, Rao-Blackwell theorem MVUE. Interval estimation. Hypothesis testing: Neyman-Pearson theory, likelihood ratio test, Bayesian inference. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): STAT (MATH) 2P03 and STAT (MATH) 2P82 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. This course has been approved by the Society of Actuaries as a VEE credit in Mathematical Statistics. Completion of this course will replace previously assigned grade and credit obtained in MATH 3P85.
- Prerequisite(s): STAT (MATH) 2P03 and STAT (MATH) 2P82 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. This course has been approved by the Society of Actuaries as a VEE credit in Mathematical Statistics. Completion of this course will replace previously assigned grade and credit obtained in MATH 3P85.
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://brocku.ca/webcal/2024/undergrad/math.html