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Seite 66
+ S - t In this section we first consider the problem of selecting a subset of the smallest possible fixed size s that will contain the t best of k populations ( 1 = s = k ) , based on any given common sample size N and another is to ...
+ S - t In this section we first consider the problem of selecting a subset of the smallest possible fixed size s that will contain the t best of k populations ( 1 = s = k ) , based on any given common sample size N and another is to ...
Seite 73
1:00 5 Selecting a Subset of Random Size Containing the t Best Populations In this section we consider the goal of selecting a subset of random size containing the t best populations . For i = 1 , the normal variances problem was ...
1:00 5 Selecting a Subset of Random Size Containing the t Best Populations In this section we consider the goal of selecting a subset of random size containing the t best populations . For i = 1 , the normal variances problem was ...
Seite 141
Consider a simple random sample of n observations , where sampling is done with replacement from finite populations . The n observations are EX 1 = n . ( P ) classified into k mutually exclusive classes , where the class counts k are ...
Consider a simple random sample of n observations , where sampling is done with replacement from finite populations . The n observations are EX 1 = n . ( P ) classified into k mutually exclusive classes , where the class counts k are ...
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