Ewens W J, Asaba B
Biometrics. 1984 Jun;40(2):367-74.
It is argued that, in any ascertainment sampling scheme using data from families of various sizes, there is never any need to assume a particular form for the (unknown) family-size distribution. There exists a simple conditional method, making no assumptions about the family-size distribution, that is always preferable to the assumption of any particular distributional form. Furthermore, the simplicity of the conditional method gives insights into properties of estimates of genetic and ascertainment parameters, which are not available when a particular form for the family-size distribution is assumed.
有人认为,在任何使用来自不同规模家庭数据的抽样方案中,根本无需对(未知的)家庭规模分布假设特定形式。存在一种简单的条件方法,它不对家庭规模分布做任何假设,并且总是比假设任何特定分布形式更可取。此外,条件方法的简单性有助于深入了解遗传和抽样参数估计的性质,而在假设家庭规模分布的特定形式时则无法获得这些性质。