Interval Estimation
Pradip Kumar Sahu,
Santi Ranjan Pal and
Ajit Kumar Das
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Pradip Kumar Sahu: Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics
Santi Ranjan Pal: Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics
Ajit Kumar Das: Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics
Chapter Chapter 5 in Estimation and Inferential Statistics, 2015, pp 131-144 from Springer
Abstract:
Abstract InPoint Estimation point estimationEstimation when a random sampleRandom sample $$ \left( {X_{1} ,X_{2} , \ldots ,X_{n} } \right) $$ X 1 , X 2 , … , X n is drawn from a populationPopulation having distribution functionDistribution function $$ F_{\theta } $$ F θ and $$ \theta $$ θ is the unknown parameter (or the set of unknown parameter).
Keywords: populationPopulation; estimationEstimation; Confidence intervalConfidence Interval; Large Sample Confidence Interval; Acceptance Region (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2514-0_5
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DOI: 10.1007/978-81-322-2514-0_5
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