复制(统计)
样本量测定
研究设计
计算机科学
抽样设计
实验设计
主题(文档)
变化(天文学)
采样(信号处理)
样品(材料)
统计
数学
社会学
万维网
人口
化学
人口学
物理
滤波器(信号处理)
天体物理学
色谱法
计算机视觉
作者
Graeme D. Ruxton,Nick Colegrave
出处
期刊:Oxford University Press eBooks
[Oxford University Press]
日期:2016-06-09
被引量:109
标识
DOI:10.1093/hesc/9780198717355.001.0001
摘要
Experimental Design for the Life Sciences starts off by asking why we should care about design. It then looks to how to start with a well-defined hypothesis. The text covers questions involved in selecting the broad design of a study. It looks at between-individual variation, replication, and sampling. There are also chapters on pseudoreplication, sample size, power, effective design, experimental design, and factorial designs. Finally, the text considers beyond complete randomization, within-subject designs, and measurements.
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