将数据作为响应变量。

D. Quicke, B. A. Butcher, R. K. Welton
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引用次数: 0

摘要

本章专门介绍计数数据有三个原因:(i)它们在生态学研究中很常见(例如窝卵大小,巢中雏鸟的数量,每个豆荚的种子数量……);(ii)数据容易收集,因此通常是学生收集的数据(例如陷阱中的甲虫数量、传粉者访花次数等);(iii)它们提出了许多具有正常误差结构的线性模型无法处理的问题。两项研究将以响应变量为计数进行检验,其中一项几乎很符合泊松分布的理想,另一项则不太符合。例1处理与离合器启动日期有关的羽翼数。这些数据是关于北方红雀红雀的,收集这些数据是为了验证一个假设,即较晚产卵的鸟可能会遭受更高的幼鸟死亡率。例2着重于西番莲(Passiflora speciosa)中传粉者访花次数与花大小的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Count data as response variable.
Abstract This chapter is devoted specifically to count data for three reasons: (i) they are common in ecological studies (e.g. clutch sizes, numbers of fledglings from a nest, numbers of seeds per pod...); (ii) they are simple to collect and are therefore often the data collected by students (e.g. numbers of beetles in a pitfall trap, number of pollinator visits to flowers...); and (iii) they pose numerous issues that linear models with their normal error structure cannot deal with. Two studies will be examined with the response variable being counts, starting with one that nearly fits the ideals of a Poisson distribution well, the other less so. Example 1 deals with fledgling numbers in relation to clutch initiation date. The data are on the northern cardinal bird, Cardinalis cardinalis, and were collected to test the hypothesis that birds that start their clutches later may suffer higher pre-fledging offspring mortality. Example 2 focuses on pollinator flower visits in Passiflora speciosa in relation to flower size.
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