Robust and Distributed Hypothesis Testing is popular PDF and ePub book, written by Gökhan Gül in 2017-03-08, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Robust and Distributed Hypothesis Testing can be Read Online from any device for your convenience.

Robust and Distributed Hypothesis Testing Book PDF Summary

This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number of samples is available, and that the distance is the KL-divergence. Here, the distance can be chosen from a much general model, which includes the KL-divergence as a very special case. This is then extended by various means. A minimax robust test that is robust against both outliers as well as modeling errors is presented. Minimax robustness properties of the given tests are also explicitly proven for fixed sample size and sequential probability ratio tests. The theory of robust detection is extended to robust estimation and the theory of robust distributed detection is extended to classes of distributions, which are not necessarily stochastically bounded. It is shown that the quantization functions for the decision rules can also be chosen as non-monotone. Finally, the book describes the derivation of theoretical bounds in minimax decentralized hypothesis testing, which have not yet been known. As a timely report on the state-of-the-art in robust hypothesis testing, this book is mainly intended for postgraduates and researchers in the field of electrical and electronic engineering, statistics and applied probability. Moreover, it may be of interest for students and researchers working in the field of classification, pattern recognition and cognitive radio.

Detail Book of Robust and Distributed Hypothesis Testing PDF

Robust and Distributed Hypothesis Testing
  • Author : Gökhan Gül
  • Release : 08 March 2017
  • Publisher : Springer
  • ISBN : 9783319492865
  • Genre : Technology & Engineering
  • Total Page : 156 pages
  • Language : English
  • PDF File Size : 12,8 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Robust and Distributed Hypothesis Testing by Gökhan Gül, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Robust Nonparametric Statistical Methods

Robust Nonparametric Statistical Methods Author : Thomas P. Hettmansperger,Joseph W. McKean
Publisher : CRC Press
File Size : 25,8 Mb
Get Book
Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical...

Encompassing

Encompassing Author : Geert Dhaene
Publisher : Springer Science & Business Media
File Size : 52,7 Mb
Get Book
The history of many sciences is characterized by an almost continuous emer gence of new theories. Fr...

Testing For Normality

Testing For Normality Author : Henry C. Thode
Publisher : CRC Press
File Size : 49,6 Mb
Get Book
Describes the selection, design, theory, and application of tests for normality. Covers robust estim...

Quantitative Methods for Health Research

Quantitative Methods for Health Research Author : Bruce,Daniel Pope,Debbi Stanistreet
Publisher : John Wiley & Sons
File Size : 39,7 Mb
Get Book
A practical introduction to epidemiology, biostatistics, and research methodology for the whole heal...