1972IEEE Transactions on Information TheoryRequires access

Sequential tests to select amongMhypotheses (Corresp.)

L. Palmer

Open publisher page 9 citations

Abstract

Suboptimal stopping rules are developed for the sequential detection of one ofMorthogonal signals. One procedure is derived from the information measures associated with sequential probability ratio tests (SPRTs). The resultant stopping rules are relatively simple functions ofMand the error probabilities desired for the sequential tests.

About this research paper

What this paper is about

Suboptimal stopping rules are developed for the sequential detection of one ofMorthogonal signals. One procedure is derived from the information measures associated with sequential probability ratio tests (SPRTs). The resultant stopping rules are relatively simple functions ofMand the error probabilities desired for the sequential tests.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Suboptimal stopping rules are developed for the sequential detection of one ofMorthogonal signals. One procedure is derived from the information measures associated with sequential probability ratio tests (SPRTs). The resultant stopping rules are relatively simple functions ofMand the error probabilities desired for the sequential tests.

Key concepts: Stopping rule, Sequential probability ratio test, Sequential analysis, Mathematics, Computer science, Statistics, Discrete mathematics, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Sequential tests to select amongMhypotheses (Corresp.) — Research Paper | ScholarLens