样本量测定
样品(材料)
统计
置信区间
蒙特卡罗方法
差异(会计)
数学
极限(数学)
人口
计量经济学
人口学
物理
经济
社会学
数学分析
会计
热力学
作者
Meinhard Kieser,Gernot Wassmer
标识
DOI:10.1002/bimj.4710380806
摘要
Abstract In a recent paper, Browne (1995) investigated the use of a pilot sample for sample size calculation. Monte Carlo simulations indicated that using a 100 · (1 — γ) per cent upper one‐sided confidence limit on the population varíance σ 2 leads to a sample size that guarantees the planned power with a probability of at least 1 − γ. The purpose of this paper is to get further insight into the results of Browne by analytical considerations. Furthermore, the expected power is investigated when applying the strategy and recommendations for the choice of the pilot sample size are given.
科研通智能强力驱动
Strongly Powered by AbleSci AI