Individual skill
experiment-design
在采集或回放数据前设计观测、注入回收和模型对照实验,明确样本单位、随机化、夜次或观测场分组、功效与预注册判据。
skills/experiment-design/SKILL.md
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- astronomy Repository topic
- astrophysics Repository topic
- large-language-models Repository topic
- llm Repository topic
- agents Repository topic
- ai4s Repository topic
- telescope Repository topic
- time-domain-astronomy Repository topic
- design Derived category
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LICENSEasset · 1,072 bytesREADME.mddoc · 433 bytesSKILL.mdcore · 7,997 bytesSKILL.mdcore · 7,997 bytesSKILL.mdcore · 7,997 bytesastronomy.mddoc · 1,833 bytesrequirements.txtdoc · 157 bytesscripts/doe_designs.pyruns · 4,586 bytesscripts/power.pyruns · 6,725 bytesscripts/randomization.pyruns · 5,849 bytestemplates/preregistration.mddoc · 2,020 bytestests/regression.pyruns · 7,735 bytes
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# 实验设计 Experiment Design
## 天文用法
先按 [astronomy.md](astronomy.md) 明确源身份、夜次、观测场和选择效应。观测、注入回收、合成实验和影子运行各自使用相应设计;计划文件不代表设备已经执行。
在采集或回放数据前,明确实验单位、分组、随机化、样本量和分析计划。先检查混杂与伪重复,
再选择设计类型;分析方法不能补回设计中没有记录的独立信息。
样本量、随机化和 DOE 布局可用下列脚本计算。效应量、功效与设计假设应根据实际课题填写。
## 脚本(确定性工具,采集前直接生成方案)