抽样方法和实验设计:收集数据。

Introductory probability and statistics: applications for forestry and natural sciences Pub Date : 1900-01-01 DOI:10.1079/9781845932756.0277

A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts

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引用次数: 0

摘要

本章简要讨论了完全随机设计、随机完全方块设计和拉丁方块设计。本章还讨论了在分配处理时使用这些设计的析因实验。这里讨论的抽样设计和实验设计是林业应用中较常用的几种方法。感兴趣的读者被引导到有关主题的高级文本，其中有许多，以获得更全面的概述。

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Sampling methods and design of experiments: collecting data.

Abstract This chapter briefly discusses completely randomized, randomized complete block and latin square designs. The chapter also discusses factorial experiments, which use these designs in the allocation of treatments. The sampling designs and experimental designs discussed here are a few of the more commonly used methods in forestry applications. The interested reader is directed to advanced texts on the subjects, of which there are many, for more comprehensive overviews.

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Introductory probability and statistics: applications for forestry and natural sciences

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