POLYGONAL DESIGNS FOR SAMPLING FROM NATURALLY ORDERED POPULATIONS

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Date
2015
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INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE
Abstract
Balanced sampling plans excluding adjacent units {BSA (m) plans} are useful for sampling from populations in which the nearer units provide similar observations due to natural ordering of the units in time or space. The ordering of units in the population may be circular or linear. For BSA (m) plans, all the first order inclusion probabilities are equal where as second order inclusion probabilities for pairs of adjacent units at a distance less than or equal to m are zero and constant for all other pairs of non-adjacent units which are at a distance greater than m. An important series of incomplete block designs called polygonal designs are useful for obtaining BSA (m) plans. Considering the blocks of polygonal designs as samples and the treatments as units, a BSA (m) plan can be obtained by assigning equal probability of selection to the blocks. The computer algorithm based on linear integer programming approach available for generating efficient binary incomplete block designs has been modified for obtaining polygonal designs for both the circular and linear ordered structure of population units. Computer aided search of polygonal designs is made in the parametric range v ≤ 30, k ≤ 5, m ≤ 5. In this range 1037 designs satisfy the parametric relations for circular ordering of units and 817 for linear ordering of units. Computer aided search gives almost all the existent polygonal designs except 7 designs in case of circular ordering of units. Further 9 new polygonal designs for the situations in which units are arranged in circular order and 16 new polygonal design for the situations in which units are arranged in linear order are also obtained.
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t-9282
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