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Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics)

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When SIAM contacted me about the preparation of a second edition of this booklet, it became clear almost immediately that any attempt to rewrite the booklet would invite the danger of spoiling its purpose. The booklet had served me well as a skeleton and draft outline for my subsequent book Robust Statistics (Wiley, 1981). I had been surprised that the precursor continued to sell in the presence of a more complete and more learned follow-up text. In fact, even now it still is selling about equally as well as the latter. The reason is clear in retrospect: the slim SIAM booklet provides a brief, well-organized, and easy-to-follow introduction and overview. I have used it to teach courses for which the Wiley book was too advanced.

It has been almost 20 years since its initial publication, however, and updating the text and adding new references was necessary. To achieve this without spoiling the flow of the original exposition, the text has been reprinted without changes and an additional chapter, "Robustness: Where Are We Now?", has been added. It is based on a talk I gave at a meeting in Neuchatel, and I gratefully acknowledge the Presses Academiques Neuchatel for granting me permission to use that material. I also thank my many colleagues, in particular Peter J. Bickel, for their stimulating comments.
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Handbook of Pattern Recognition and Computer Vision
Handbook of Pattern Recognition and Computer Vision

Dedicated to the memory of the late Professor King Sun Fu (1930-1985), the handbook series, with first edition (1993), second edition (1999) and third edition (2005), provides a comprehensive, concise and balanced coverage of the progress and achievements in the field of pattern recognition and computer vision in the last twenty years. This is a...

Progress in Artificial Intelligence: 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW
Progress in Artificial Intelligence: 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW

This book constitutes the refereed proceedings of the 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, held in Guimarães, Portugal, in December 2007 as eleven integrated workshops. The 58 revised full papers presented were carefully reviewed and selected from a total of 210 submissions. In accordance with the eleven...

XML in a Nutshell, Third Edition
XML in a Nutshell, Third Edition
There's a lot to know about XML, and it s constantly evolving. But you don't need to commit every syntax, API, or XSLT transformation to memory; you only need to know where to find it. And if it's a detail that has to do with XML or its companion standards, you'll find it--clear, concise, useful, and well-organized--in the updated third...

International Directory of Business Biographies Edition 1.
International Directory of Business Biographies Edition 1.
Choice : "Entries are well written and easy to understand, Summing Up: Highly Recommended."
--Choice, June 2005

As the modern business world continues to expand, today's business researchers are in search of a more global perspective. Unlike many other directories, this four-volume set
...
Electronics All-in-One For Dummies (For Dummies (Computers))
Electronics All-in-One For Dummies (For Dummies (Computers))

A comprehensive collection of 8 books in 1 offering electronics guidance that can't be found anywhere else!

If you know a breadboard from a breadbox but want to take your hobby electronics skills to the next level, this is the only reference you need. Electronics All-in-One For Dummies has done the legwork for you...

Model-Based Signal Processing (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Model-Based Signal Processing (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
A unique treatment of signal processing using a model-based perspective

Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem...

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