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ST 561

Theory of Statistics

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This course presents a rigorous development of: point and interval estimation; sufficiency, efficiency, unbiasedness, and consistency. Topics include: maximum likelihood and Bayesian estimation; exchangeability; invariance; decision theory; large sample theory; optimality criteria and most powerful tests; likelihood ratio tests; and robustness. Exclusions: MA641, ST361 or equivalent.

This course presents a rigorous development of: point and interval estimation; sufficiency, efficiency, unbiasedness, and consistency. Topics include: maximum likelihood and Bayesian estimation; exchangeability; invariance; decision theory; large sample theory; optimality criteria and most powerful tests; likelihood ratio tests; and robustness. Exclusions: MA641, ST361 or equivalent.

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This course presents a rigorous development of: point and interval estimation; sufficiency, efficiency, unbiasedness, and consistency. Topics include: maximum likelihood and Bayesian estimation; exchangeability; invariance; decision theory; large sample theory; optimality criteria and most powerful tests; likelihood ratio tests; and robustness. Exclusions: MA641, ST361 or equivalent.

ST 561

Theory of Statistics

0%Liked

Easy

0%

Useful

0%

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This course presents a rigorous development of: point and interval estimation; sufficiency, efficiency, unbiasedness, and consistency. Topics include: maximum likelihood and Bayesian estimation; exchangeability; invariance; decision theory; large sample theory; optimality criteria and most powerful tests; likelihood ratio tests; and robustness. Exclusions: MA641, ST361 or equivalent.

This course presents a rigorous development of: point and interval estimation; sufficiency, efficiency, unbiasedness, and consistency. Topics include: maximum likelihood and Bayesian estimation; exchangeability; invariance; decision theory; large sample theory; optimality criteria and most powerful tests; likelihood ratio tests; and robustness. Exclusions: MA641, ST361 or equivalent.

0%Liked

Easy

0%

Useful

0%

0 ratings

This course presents a rigorous development of: point and interval estimation; sufficiency, efficiency, unbiasedness, and consistency. Topics include: maximum likelihood and Bayesian estimation; exchangeability; invariance; decision theory; large sample theory; optimality criteria and most powerful tests; likelihood ratio tests; and robustness. Exclusions: MA641, ST361 or equivalent.

ST 561 Prerequisites

No Prerequisite Information Available

ST 561 Leads To

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ST 561 Restrictions

Must be enrolled in one of the following Levels:

Graduate (GR)

Course Schedule