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: ) For binary hypothesis testing problem, briefly describe the thresholds under Bayes criterion, MAP criterion, ML criterion and Neyman-Pearson criterion, respectively. The four costs are expressed as C, C, C19, Co • The priori probabilities for H, and H, are n, andz,. For Neyman-Pearson criterion, the maximum false alarm probability is a,, false alarm probability P, = P(D|H,). It is not necessary to give a specific derivation, just met give a simple expression and explain the solution idea.

: ) For binary hypothesis testing problem, briefly describe the thresholds under Bayes criterion, MAP criterion, ML criterion and Neyman-Pearson criterion, respectively. The four costs are expressed as C, C, C19, Co • The priori probabilities for H, and H, are n, andz,. For Neyman-Pearson criterion, the maximum false alarm probability is a,, false alarm probability P, = P(D|H,). It is not necessary to give a specific derivation, just met give a simple expression and explain the solution idea.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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1. :".. For binary hypothesis testing problem, briefly describe the thresholds under Bayes criterion, MAP criterion, ML Mole criterion and Neyman-Pearson criterion, respectively. The four costs are expressed as C, C, C,19, Co1• The priori probabilities for H, and H, are a, andz,. For Neyman-Pearson criterion, the ouft maximum false alarm probability is a,, false alarm probability Bi P, = P(D|H,). It is not necessary to give a specific derivation, just give a simple expression and explain the solution idea.
Transcribed Image Text:1. :".. For binary hypothesis testing problem, briefly describe the thresholds under Bayes criterion, MAP criterion, ML Mole criterion and Neyman-Pearson criterion, respectively. The four costs are expressed as C, C, C,19, Co1• The priori probabilities for H, and H, are a, andz,. For Neyman-Pearson criterion, the ouft maximum false alarm probability is a,, false alarm probability Bi P, = P(D|H,). It is not necessary to give a specific derivation, just give a simple expression and explain the solution idea.
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