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Chapter 15: Estimators for Mean and Variance

Chapter 15: Estimators for Mean and Variance

pp. 255-264

Authors

Mor Harchol-Balter, Carnegie Mellon University, Pennsylvania
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Summary

The general setting in statistics is that we observe some data and then try to infer some property of the underlying distribution behind this data. The underlying distribution behind the data is unknown and represented by random variable (r.v.) X. This chapter will briefly introduce the general concept of estimators, focusing on estimators for the mean and variance.

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