April 2015
Beginner
400 pages
8h 45m
English
Content preview from Probability and Statistics
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5
Estimation Theory
5.1 Introduction
In Chapter 4, we have emphasized sampling properties of sample mean and sample variance and also displays of data in different forms. These presentations are meant to lay a foundation that permits statisticians to draw conclusions about the population parameters from experimental data. For example, the central limit theorem provides information about the distribution of the sample mean 
. The distribution involves the mean of population μ. Thus, any conclusions drawn concerning μ from an observed sample average must depend on knowledge of this sampling distribution. Similar remarks hold in respect of
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