Robust procedures are most informative when their results are compared to those from classical procedures. In other words, statistical scientists should always think about doing at least two analyses of their data, and comparing the results. The book under review makes the important subject of robustness more accessible to statisticians; for those who know little but would like to learn more, it is the first place that I would recommend they look
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
This is pre-print of a book review of a graduate econometrics textbook entitled "Statistical Foundat...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
We argue that robust statistics has multiple goals, which are not always aligned. Robust thinking gr...
In lieu of an abstract, here is the entry\u27s first paragraph: Robust statistics are procedures tha...
Abstract: Robust methods are little applied (although much studied by statisticians). We monitor ver...
Robust statistics, as a concept, probably dates back to the prehistory of statistics. It has, howeve...
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field o...
The uncertainty that researchers face in specifying their estimation model threatens the validity of...
Outliers are sample values that cause surprise in relation to the majority of the sample. This is no...
It is at the same time easy and difficult to say something about a book that has become a classic, a...
This book presents recent research on robustness in econometrics. Robust data processing techniques ...
An annotated bibliography consisting of about 360 articles on robustness studies is prepared. Throug...
Consistency, qualitative robustness, influence function and breakdown point are the four main concep...
Robust statistics is an extension of classical statistics that specifically takes into account the c...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
This is pre-print of a book review of a graduate econometrics textbook entitled "Statistical Foundat...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
We argue that robust statistics has multiple goals, which are not always aligned. Robust thinking gr...
In lieu of an abstract, here is the entry\u27s first paragraph: Robust statistics are procedures tha...
Abstract: Robust methods are little applied (although much studied by statisticians). We monitor ver...
Robust statistics, as a concept, probably dates back to the prehistory of statistics. It has, howeve...
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field o...
The uncertainty that researchers face in specifying their estimation model threatens the validity of...
Outliers are sample values that cause surprise in relation to the majority of the sample. This is no...
It is at the same time easy and difficult to say something about a book that has become a classic, a...
This book presents recent research on robustness in econometrics. Robust data processing techniques ...
An annotated bibliography consisting of about 360 articles on robustness studies is prepared. Throug...
Consistency, qualitative robustness, influence function and breakdown point are the four main concep...
Robust statistics is an extension of classical statistics that specifically takes into account the c...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...
This is pre-print of a book review of a graduate econometrics textbook entitled "Statistical Foundat...
Description ``Essential' ' Robust Statistics. The goal is to provide tools allowing to ana...