Consistency, qualitative robustness, influence function and breakdown point are the four main concepts to judge an estimator from the viewpoint of robust estimation. It is important as well as interesting to study relation among them. The talk centers around attempts to illustrate mathematical foundation of robustness, particularly intricacies of qualitative robustness, its relation with consistency and its application in bootstrapping. For the last decade several researchers have come forward to study robustness i
• There is a vast literature on robust estimators, but in some situations it is still not easy to ma...
This article explores the role of `robustness-notions¿ in an account of the engineering sciences. Th...
We propose a new robustness diagnostic scheme for bootstrap inference procedures. The scheme is adap...
Qualitative robustness, influence function, and breakdown point are three main concepts to judge an ...
Available from Centro de Informacion y Documentacion Cientifica CINDOC. Joaquin Costa, 22. 28002 Mad...
In the philosophy of science and epistemology literature, robustness analysis has become an umbrella...
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field o...
The book offers the first general overview of the concept of robustness and its relevance for scient...
Tech ReportDue to vagueness in the definition of robustness, there has been no natural transition be...
This presentation summarizes the results of the author on development of the theory of robust stati...
Robust procedures are most informative when their results are compared to those from classical proce...
We first review briefly some basic approaches to robust inference and discuss the role and the place...
Abstract. It is common to distinguish three main senses of the term “robustness”: 1) Robustness of m...
In lieu of an abstract, here is the entry\u27s first paragraph: Robust statistics are procedures tha...
AbstractWe consider robust operations in time series. We present a definition and subsequent qualita...
• There is a vast literature on robust estimators, but in some situations it is still not easy to ma...
This article explores the role of `robustness-notions¿ in an account of the engineering sciences. Th...
We propose a new robustness diagnostic scheme for bootstrap inference procedures. The scheme is adap...
Qualitative robustness, influence function, and breakdown point are three main concepts to judge an ...
Available from Centro de Informacion y Documentacion Cientifica CINDOC. Joaquin Costa, 22. 28002 Mad...
In the philosophy of science and epistemology literature, robustness analysis has become an umbrella...
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field o...
The book offers the first general overview of the concept of robustness and its relevance for scient...
Tech ReportDue to vagueness in the definition of robustness, there has been no natural transition be...
This presentation summarizes the results of the author on development of the theory of robust stati...
Robust procedures are most informative when their results are compared to those from classical proce...
We first review briefly some basic approaches to robust inference and discuss the role and the place...
Abstract. It is common to distinguish three main senses of the term “robustness”: 1) Robustness of m...
In lieu of an abstract, here is the entry\u27s first paragraph: Robust statistics are procedures tha...
AbstractWe consider robust operations in time series. We present a definition and subsequent qualita...
• There is a vast literature on robust estimators, but in some situations it is still not easy to ma...
This article explores the role of `robustness-notions¿ in an account of the engineering sciences. Th...
We propose a new robustness diagnostic scheme for bootstrap inference procedures. The scheme is adap...