In this paper we consider the problem of identifying outliers in exponential samples with stepwise procedures, namely inward and outward testing procedures. We treat outliers in the spirit of Davies and Gather (1993) as points which for given alpha > 0 lie in a certain alpha-outlier region and focus especially on the worst-case be-haviour of the identification rules. Best results yield stepwise procedures which use test statistics based on a standardized version of the sample median
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...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
In this paper we discuss the distribution of the ratio of the maximum and the appropriately standard...
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(2000,56) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Abstract: Zerbet and Nikulin presented the new statistic Z k for detecting outliers in exponential d...
In this paper, we consider one-step outlier identifiation rules for multivariate data, generalizing ...
We introduce asymptotic parameter-free hypothesis tests based on extreme value theory to detect outl...
[[abstract]]In this paper, we suggest a least squares procedure for the determination of the number ...
Determining if a dataset has one or more outliers is a fundamental and challenging problem in statis...
AbstractAn outlier detection test related to a robustified score test is proposed and compared with ...
It is evident from the comments by Bernoulli (1777) that the history of outliers is very old and tra...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
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...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...
In this paper we discuss the distribution of the ratio of the maximum and the appropriately standard...
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(2000,56) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Abstract: Zerbet and Nikulin presented the new statistic Z k for detecting outliers in exponential d...
In this paper, we consider one-step outlier identifiation rules for multivariate data, generalizing ...
We introduce asymptotic parameter-free hypothesis tests based on extreme value theory to detect outl...
[[abstract]]In this paper, we suggest a least squares procedure for the determination of the number ...
Determining if a dataset has one or more outliers is a fundamental and challenging problem in statis...
AbstractAn outlier detection test related to a robustified score test is proposed and compared with ...
It is evident from the comments by Bernoulli (1777) that the history of outliers is very old and tra...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
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...
The thesis consists of six chapters. The introductory first chapter considers some of the more gener...