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Chapter 13 Sampling designs, implementation, and analysis

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13.1 Systematic sampling

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13.1.1 Estimation Using SYS

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13.1.2 Illustrative analysis

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13.1.3 Advantages and disadvantages of SYS

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13.2 Stratified sampling

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13.2.1 Estimation using stratified sampling

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13.2.2 Allocation of sample plots

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13.2.2.1 Proportional allocation

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13.2.2.2 Optimum allocation

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13.2.3 Sample size determination

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13.2.4 Illustrative analysis

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13.2.5 Advantages and disadvantages of stratifed sampling

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13.3 Cluster sampling

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13.3.1 Estimation using cluster sampling

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13.3.2 Illustrative analysis

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13.3.3 Advantages and disadvantages of cluster sampling

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13.4 Multistage sampling

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13.4.1 Estimation using multistage sampling

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13.4.2 Estimation with unequal sized primaries and varying amounts of secondaries

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13.4.3 Advantages and disadvantages of multistage sampling

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13.5 Sampling with covariates

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13.5.1 Linear regression

13.5.2 Regression Sampling

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13.5.2.1 Regression Estimation

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13.5.2.2 Ratio Estimation

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13.5.3 Double sampling

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13.5.3.1 Regression Estimation

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13.5.3.2 Ratio Estimation

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13.6 Summary and outlook

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13.7 Exercises

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