Special Topics in Statistics

Special Topics in Statistics
STAT
595R
 Hours 1.0 - 3.0 Credit, Arr Lecture, 0.0 Lab Prerequisites Instructor's consent. Taught
Course Outcomes:

Exam C

The primary learning outcome of this course is to prepare students for part of Exam C offered by the Society of Actuaries.

Survival/Severity/Frequency/Aggregate Models

Recognize, understand, and complete problems related to Survival, Severity, Frequency and Aggregate models. Learn how to model data for each of these.

STAT 595R

This is a course with no set curriculum. The learning objectives will be determined by the directing instructor. The outcomes will be specific to the special topic as directed by the professor. In general, after completion of a special topics course in statistics, the student will:

Demonstrate Understanding

Demonstrate understanding of and competence in subject matter, varying by course topic

Stat 595R

This is a course with no set curriculum. The learning objectives will be determined by the directing instructor. The outcomes will be specific to the special topic as directed by the professor. In general, after completion of a special topics course in statistics, the student will:

Stat 595R

This is a course with no set curriculum. The learning objectives will be determined by the directing instructor. The outcomes will be specific to the special topic as directed by the professor. In general, after completion of a special topics course in statistics, the student will:

Stat 595R

This is a course with no set curriculum. The learning objectives will be determined by the directing instructor. The outcomes will be specific to the special topic as directed by the professor. In general, after completion of a special topics course in statistics, the student will:

Stat 595R

This is a course with no set curriculum. The learning objectives will be determined by the directing instructor. The outcomes will be specific to the special topic as directed by the professor. In general, after completion of a special topics course in statistics, the student will:

Demonstrate Understanding

Demonstrate understanding of and competence in subject matter, varying by course topic

Risk

Recognize, understand, and complete problems related to basic risk measures.

Explain Context

Explain the historical context or modern relevance of the selected special topics curriculum

Demonstrate Understanding

Demonstrate understanding of and competence in subject matter, varying by course topic

Demonstrate Understanding

Demonstrate understanding of and competence in subject matter, varying by course topic

Demonstrate Understanding

Demonstrate understanding of and competence in subject matter, varying by course topic

Demonstrate Understanding

Demonstrate understanding of and competence in subject matter, varying by course topic

Explain Historicity and Relevance

Explain the historical context or modern relevance of the selected special topics curriculum

Develop Proficiency in Methods

Develop proficiency in specialized quantitative methods and their use in a modern statistical software package

Empirical Models

Recognize, understand, and complete problems related to fitting empirical models to data and applying statistical estimation procedures.

Explain Historicity and Relevance

Explain the historical context or modern relevance of the selected special topics curriculum

Explain Historicity and Relevance

Explain the historical context or modern relevance of the selected special topics curriculum

Explain Historicity and Relevance

Explain the historical context or modern relevance of the selected special topics curriculum

Explain Historicity and Relevance

Explain the historical context or modern relevance of the selected special topics curriculum

Estimation

Recognize, understand, and complete problems related to constructing parametric models: estimate parameters, apply unbiasedness, consistency, UMVUE, and MSE to survival, severity, frequency, and aggregate models.

Develop Proficiency

Develop proficiency in specialized quantitative methods and their use in a modern statistical software package.

Develop Proficiency

Develop proficiency in specialized quantitative methods and their use in a modern statistical software package

Develop Proficiency

Develop proficiency in specialized quantitative methods and their use in a modern statistical software package.

Develop Proficiency

Develop proficiency in specialized quantitative methods and their use in a modern statistical software package.

Develop Proficiency

Develop proficiency in specialized quantitative methods and their use in a modern statistical software package.

Simulation and Resampling

Recognize, understand, and complete problems related to learning simulation and resampling methods for model validation.