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Exploring mixture estimators in stratified random sampling
Kanwal Iqbal
, Syed Muhammad Muslim Raza
,
Tahir Mahmood
*
, Muhammad Riaz
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
102
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Dive into the research topics of 'Exploring mixture estimators in stratified random sampling'. Together they form a unique fingerprint.
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Keyphrases
Stratified Random Sampling
100%
Mixture Estimator
100%
Population Mean
66%
Auxiliary Variable
66%
Health Sector
33%
Cost-effectiveness
33%
Efficiency Increase
33%
Asymmetric Distribution
33%
Stratified Sampling
33%
Normality
33%
Sensor Technology
33%
Uniform Distribution
33%
Gamma Distribution
33%
Finance Sector
33%
Weibull Distribution
33%
Real-life Dataset
33%
Qualitative Attributes
33%
Cauchy Distribution
33%
Variable Population
33%
Quantitative Attributes
33%
Attribute Variable
33%
Generalized Mixtures
33%
Symmetric Distribution
33%
Mathematics
Population Mean
100%
Stratified Random Sample
100%
Auxiliary Variable
100%
Real Life
50%
Gaussian Distribution
50%
Stratified Sampling
50%
Cauchy Distribution
50%