Titlebook: Methods in Medicine; A Descriptive Study J. Ridderikhoff Book 1989 Kluwer Academic Publishers 1989 diagnosis.diseases.management.medicine.

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J. Ridderikhoffich is proved to be more efficient in estimating the population mean than its SRS counterpart. The efficiency of BRSS can be further improved by considering unbalanced RSS (URSS) with appropriate unequal allocation. However, with a poor sample allocation scheme, URSS can have even worse performance

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J. Ridderikhoffich is proved to be more efficient in estimating the population mean than its SRS counterpart. The efficiency of BRSS can be further improved by considering unbalanced RSS (URSS) with appropriate unequal allocation. However, with a poor sample allocation scheme, URSS can have even worse performance

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J. Ridderikhoffrison sets. This rank information governs the decision on whether to include units in a final ranked set sample (RSS), but only supplements the primary selection of units in a judgment post-stratifed sample (JPS). If the position information in the comparison sets is accurate, for both designs, the

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J. Ridderikhoffores of two samples of the test-taker population. In this paper, we consider estimating variances of test score population statistics for large-scale survey assessments (LSAs), where the random-groups design is used in linking latent variable test scores. Examples of LSAs include National Assessment

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J. Ridderikhoff, the only remaining errors are omissions. This assumption is violated in many situations, notably in the US Census 2000, where undetected erroneous enumerations were a primary reason that the post-enumeration survey (PES) results could not be used in census undercount adjustments. This paper develo

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J. Ridderikhoffribed as they may increase error in the prediction model. The collected data which contains uncertainty should be adequately treated before analysis. In the portfolio selection problem, uncertainty involves are characterized as fuzzy and random. Hence fuzzy random variables are accounted as input va