Robust Statistics

✍ Scribed by Peter J. Huber

Publisher: Wiley
Year: 1981
Tongue: English
Leaves: 320
Series: Wiley series in probability and mathematical statistics
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects

Математика;Теория вероятностей и математическая статистика;Математическая статистика;

📜 SIMILAR VOLUMES

Robust Statistics

📁 Robust Statistics

✍ Peter J. Huber, Elvezio M. Ronchetti 📂 Library 📅 2009 🏛 Wiley 🌐 English

A new edition of the classic, groundbreaking book on robust statistics <p> Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly upda

Robust statistics

📁 Robust statistics

✍ Peter J. Huber, Elvezio Ronchetti 📂 Library 📅 2009 🏛 John Wiley and Sons 🌐 English

A new edition of the classic, groundbreaking book on robust statisticsOver twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expan

Robust Statistics

📁 Robust Statistics

The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proof

Robust statistics

📁 Robust statistics

✍ Peter J. Huber, Elvezio M. Ronchetti 📂 Library 📅 2009 🏛 Wiley 🌐 English

Robust statistics

📁 Robust statistics

✍ Peter J. Huber, Elvezio M. Ronchetti 📂 Library 📅 2009 🏛 Wiley 🌐 English

Robust statistics

📁 Robust statistics

✍ Peter J. Huber 📂 Library 📅 1981 🏛 Wiley 🌐 English

Other volumes in the Wiley Series in Probability and Mathematical Statistics Abstract Inference UIf Grenander The traditional setting of statistical inference is when both sample space and parameter space are finite dimensional Euclidean spaces or subjects of such spaces. During the last decades, ho