| dbo:abstract |
In survey methodology, Poisson sampling (sometimes denoted as PO sampling) is a sampling process where each element of the population is subjected to an independent Bernoulli trial which determines whether the element becomes part of the sample. Each element of the population may have a different probability of being included in the sample. The probability of being included in a sample during the drawing of a single sample is denoted as the first-order inclusion probability of that element. If all first-order inclusion probabilities are equal, Poisson sampling becomes equivalent to Bernoulli sampling, which can therefore be considered to be a special case of Poisson sampling. (en) Poisson試驗是每次只有兩種可能結果，但各次結果概率可以不同的多次隨機試驗，即對于一系列獨立的隨机變量而言，對有以及。在Poisson試驗中，每次試驗都是一次伯努利試驗，但各次伯努利試驗是獨立的可以服從不同伯努利分佈的。 (zh) |
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dbr:Process |
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| rdfs:comment |
Poisson試驗是每次只有兩種可能結果，但各次結果概率可以不同的多次隨機試驗，即對于一系列獨立的隨机變量而言，對有以及。在Poisson試驗中，每次試驗都是一次伯努利試驗，但各次伯努利試驗是獨立的可以服從不同伯努利分佈的。 (zh) In survey methodology, Poisson sampling (sometimes denoted as PO sampling) is a sampling process where each element of the population is subjected to an independent Bernoulli trial which determines whether the element becomes part of the sample. (en) |
| rdfs:label |
Poisson sampling (en) 泊松试验 (zh) |
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