烟单14号夏玉米产量三因素最佳取值范围的探讨

作者根据大量试验和调查数据的分析,提出烟单14号夏玉米在高产条件下,亩穗数、穗粒数、千粒重三因素的最佳取值范围。 亩穗数:3569～4980 穗/亩; 穗粒数:423～526 粒/穗; 千粒重:259～278 克/1000粒。     

地震作用下的导管架海洋平台结构动力优化设计研究

把导管架海洋平台看作钢框架结构，并把优化方法用于结构的抗震设计中；以结构的总重量最小为优化目标，导管的平均直径和壁厚作为设计变量，考虑强度、刚度和稳定等约束条件。通过渤海BZ28—1油田储油平台为例进行了计算，计算结果表明，此方法对海洋平台的设计具有一定的参考意义。     

Optimum Sample Size to Detect Perturbation Effects: The Importance of Statistical Power Analysis – A Critique

Abstract. The current article describes statistical power analysis as an efficient strategy for the estimation of the optimum sample size. The principle aim is constructively to criticise and enrich the results presented by Mouillot et al. (1999) , who estimate the optimum sample size for evaluating possible perturbations. The authors did not make any reference to statistical power analysis, even though their objective clearly went beyond a simple stock evaluation to assess management strategies in a particular marine ecosystem. Surprisingly, they proposed (a priori) an ANOVA design to test a hypothesis considering both space and temporal scales. However, the authors did not cover important topics related with power analysis and the precautionary principle, both used into environment impact assessment programmes for marine ecosystems. Based on their results and on statistical power analysis, it is demonstrated that the variability (dispersion statistics), a key factor they used to estimate the sample size, is less relevant than the magnitude of perturbation (effect size). Therefore, a greater effort must be devoted to estimate the effect size of a particular phenomenon rather than a desired variability.