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Point Estimation

Chapter
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Part of the Springer Texts in Statistics book series (STS)

Abstract

In previous chapters, particularly Chapters 1 through 4, the ideas of decision theory and various types of statistical problems have been introduced. Chapter 5 has developed these ideas in the context of squared error and linear theory, treating the subjects of best linear unbiased estimation and the analysis of variance. Related to the material of Chapter 5 is the subject of experimental design. Chapter 6 introduced the idea of sufficiency. All of these are ideas which have great applicability to statistical problems.

Keywords

Point Estimation Risk Function Unbiased Estimator Error Loss Asymptotic Efficiency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1987

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