In this paper we discuss the distribution of the ratio of the maximum and the appropriately standardized median of a (sub-) sample consisting of the m smallest observations in a sample of size N coming from a one-parameter exponential distribution. A statistics of this kind is useful when testing for the presence of outliers, especially when implemented within an inward or outward testing procedure. Besides giving a tractable expression for the survival function of this statistic we tabulate the critical values needed for corresponding outlier identification rules for samples of size up to N = 50
We introduce asymptotic parameter-free hypothesis tests based on extreme value theory to detect outl...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
In this paper we consider the problem of identifying outliers in exponential samples with stepwise p...
In this paper, the task of identifying outliers in exponential samples is treated conceptionally in ...
In this paper, the task of identifying outliers in exponential samples is treated conceptionally in ...
SIGLEAvailable from TIB Hannover: RR 8460(2000,57) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Abstract: Zerbet and Nikulin presented the new statistic Z k for detecting outliers in exponential d...
[[abstract]]In this paper, we suggest a least squares procedure for the determination of the number ...
[[abstract]]The inside-out sequential procedures for testing up to k upper outliers in a two-paramet...
[[abstract]]Due to wide applicability and simplicity, the exponential distribution is the most commo...
AbstractLikelihood ratio tests for detecting a single outlier in multivariate linear models are cons...
In their paper, Davies and Gather (1993) formalized the task of outlier identification, considering ...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
We introduce asymptotic parameter-free hypothesis tests based on extreme value theory to detect outl...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
In this paper we consider the problem of identifying outliers in exponential samples with stepwise p...
In this paper, the task of identifying outliers in exponential samples is treated conceptionally in ...
In this paper, the task of identifying outliers in exponential samples is treated conceptionally in ...
SIGLEAvailable from TIB Hannover: RR 8460(2000,57) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Abstract: Zerbet and Nikulin presented the new statistic Z k for detecting outliers in exponential d...
[[abstract]]In this paper, we suggest a least squares procedure for the determination of the number ...
[[abstract]]The inside-out sequential procedures for testing up to k upper outliers in a two-paramet...
[[abstract]]Due to wide applicability and simplicity, the exponential distribution is the most commo...
AbstractLikelihood ratio tests for detecting a single outlier in multivariate linear models are cons...
In their paper, Davies and Gather (1993) formalized the task of outlier identification, considering ...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
We introduce asymptotic parameter-free hypothesis tests based on extreme value theory to detect outl...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...