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Statistical decision theory / Longford, Nicholas T.

By: Material type: TextTextSeries: Springer briefs in statisticsPublication details: New York : Springer, 2013.Description: x, 124 p. ; illISBN:
  • 9783642404320
Subject(s): DDC classification:
  • 23 L853 000SA.16
Contents:
1.Introduction -- 2.Estimating the Mean -- 3.Estimating the Variance -- 4.The Bayesian Paradigm -- 5.Data from other Distributions -- 6.Classification -- 7.Small-area Estimation -- 8.Study Design -- Index.
Summary: This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss. Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client's perspective, priorities, value judgments and other prior information, together with the uncertainty about them.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.16 L853 (Browse shelf(Opens below)) Available 135510
Total holds: 0

Includes index.

1.Introduction --
2.Estimating the Mean --
3.Estimating the Variance --
4.The Bayesian Paradigm --
5.Data from other Distributions --
6.Classification --
7.Small-area Estimation --
8.Study Design --
Index.

This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss. Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client's perspective, priorities, value judgments and other prior information, together with the uncertainty about them.

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