'Minimal sufficient' presentation slideshows

Minimal sufficient statistic

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STATS 730: Lectures 6

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Consistency

Consistency. An estimator is a consistent estimator of ?, if , i.e., if converge in probability to ?. Theorem. An unbiased estimator for ?, is a consistent estimator of ? if Proof:. Example.

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Consistency

Consistency. An estimator is a consistent estimator of ?, if , i.e., if converge in probability to ?. Theorem. An unbiased estimator for ?, is a consistent estimator of ? if Proof:. Example.

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The Likelihood Function - Introduction

The Likelihood Function - Introduction. Recall: a statistical model for some data is a set of distributions, one of which corresponds to the true unknown distribution that produced the data. The distribution f ? can be either a probability density function or a

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The Likelihood Function - Introduction

The Likelihood Function - Introduction. Recall: a statistical model for some data is a set of distributions, one of which corresponds to the true unknown distribution that produced the data. The distribution f ? can be either a probability density function or a

131 views • 11 slides