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    Ranked Set Sampling

    Ranked Set Sampling

    - 65 Years Improving the Accuracy in Data Gathering

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    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs.

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    Detaljer
    • SprogEngelsk
    • Sidetal314
    • Udgivelsesdato19-10-2018
    • ISBN139780128150443
    • Forlag Academic Press Inc
    • FormatPaperback
    Størrelse og vægt
  • Vægt660 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Distribution Power Efficiency Order statistics Proportion Bias MSE Distribution function Bootstrap Method Mean square error Scrambling Sampling design Randomized Response Technique Accuracy Sampling without replacement Estimators Variance Auxiliary information Attribute Unbiasedness Prediction Interval Two-stage sampling Estimator Answer bias Auxiliary variate Best linear unbiased estimator Average run length Complex sampling Concomitants of order statistics Extropy estimation Expected model variance Fisher information number Extreme ranked set sampling FQRR model Imperfect ranking Estimation of mean Maximum Likelihood Estimators Mean squared error Median ranked set sampling Moving extreme ranked set sampling Product estimator Ranked set sample Ranked set sample mean Rank set sampling Ratio estimator Perfect and imperfect rankings Repetitive sampling Relative Efficiency Shewhart control chart Skew distributions Small sample size Simple Random Sampling Sensitive variables Strata boundaries Study variate Stratified sample Upper ranked set sampling Minimum mean squared error estimator Unbalanced single-stage ranked set sampling Unbalanced steady-state ranked set sampling Randomized responses Modified method of moment Partially ordered judgment subset sampling Unbiased Estimator Relative precision statistical test Shrinkage estimator Unbalanced multistage ranked set sampling Unequal samples

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