The Effect of The Swamping Phenomenon on Several Block Procedures Samples

Ashok Rajak

Abstract


In the statistical theory of the design of experiments, blocking is the arranging of experimental units in groups (blocks) that are similar to one another. Sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Successful statistical practice is based on focused problem definition. In sampling, this includes defining the population from which our sample is drawn. A population can be defined as including all people or items with the characteristic one wish to understand. Because there is very rarely enough time or money to gather information from everyone or everything in a population, the goal becomes finding a representative sample (or subset) of that population .this paper reviews the general outlier problem, Two alternate approaches to the multiple outlier problem, consecutive and block testing, and their respective inherent weaknesses, masking and swamping, are discussed. In addition, the relative susceptibility of several tests for outliers in normal samples to the swamping phenomena is reported.


Keywords


Detection; Swamping; Masking

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