Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics
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Published By Springer Berlin Heidelberg

9783642398988, 9783642398995

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Sampling Using Ranked Sets: Basic Concepts

Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics ◽

10.1007/978-3-642-39899-5_2 ◽

2013 ◽

pp. 7-30

Author(s):

Carlos N. Bouza-Herrera

Keyword(s):

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Missing Observations and Data Quality Improvement

Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics ◽

10.1007/978-3-642-39899-5_1 ◽

2013 ◽

pp. 1-6

Author(s):

Carlos N. Bouza-Herrera

Keyword(s):

Quality Improvement ◽

Data Quality ◽

Missing Observations

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Imputation of the Missing Data

Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics ◽

10.1007/978-3-642-39899-5_4 ◽

2013 ◽

pp. 59-90

Author(s):

Carlos N. Bouza-Herrera

Keyword(s):

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The Non-response Problem: Subsampling Among the Non-respondents

Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics ◽

10.1007/978-3-642-39899-5_3 ◽

2013 ◽

pp. 31-58

Author(s):

Carlos N. Bouza-Herrera

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Some Numerical Studies of the Behavior of RSS

Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics ◽

10.1007/978-3-642-39899-5_5 ◽

2013 ◽

pp. 91-113

Author(s):

Carlos N. Bouza-Herrera

Keyword(s):

Numerical Studies

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