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机构地区:[1]苏州科技学院应用数学系,江苏苏州215009 [2]苏州大学生命科学学院/苏州大学蚕桑研究所,江苏苏州215123
出 处:《数学的实践与认识》2006年第10期100-104,共5页Mathematics in Practice and Theory
基 金:国家茧丝绸发展风险基金[编号国茧协办(2002)36号]
摘 要:桑蚕种良卵率是蚕种质量检验的重要指标,控制样本间良卵数偏差是保证良卵率准确性的关键.运用概率理论.针对目前生产上绝大多数批次的良卵率p≥99%情况.在置信概率为95%下,样本卵粒数在1601~1700、1701-1800、1801~1900、1901-2000区间内时.给出了样本良卵数的容许偏差分别为16、17、17、18粒;当良卵率p在99%~90%其他区间时.也分别给出了不同克卵粒数情况下样本良卵数的容许偏差.同时在置信概率为90%下.给出了不同克卵粒数情况下样本良卵数的容许偏差.结合实际调查结果.对理论方法进行了比较.确认了理论方法的准确性.为蚕业生产提供了一套控制良卵数偏差的可行性方案.The percentage of good silkworm eggs (p) is the important index of the quality inspection of silkworm eggs. Control the deviation number of good eggs among samples is key point of ensuring the accuracy of percentage of good eggs. One of the control methods of deviation of the number of good eggs has been bring up with probability theory. If the p 99%, and the fiducially probability is under 950%, When the egg number per gram of sample is in 1601- 1700, 1701- 1800, 1801 - 1900 or 1901- 2000, the admissible deviation number of good eggs of samples is respectively 16, 17, 17, 18 eggs. The admissible deviation numbers of good eggs of samples were obtained respectively in this article, when p was other data in 99 % 90%. The above results were tested with reality investigation result, and verified that theoretical method have has accuracy. This article provided a possibility project to control the deviation number of good eggs for the sericulture produce.
分 类 号:S882[农业科学—特种经济动物饲养]
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