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TR 34.901
Test Time Optimisation based on statistical approaches;
Statistical theory applied and evaluation of statistical significance

V3.0.0 (PDF)  2003/06  42 p.
Rapporteur:
Mr. Yokoyama, Mitsuru

full Table of Contents for  TR 34.901  Word version:  3.0.0

1Scope  p. 5
2References  p. 5
3Definitions, symbols and abbreviations  p. 5
3.1Definitions  p. 5
3.2Symbols  p. 5
3.3Abbreviations  p. 5
3.4Equations  p. 5
4Introduction  p. 6
5Definitions of distribution functions and parameters to be used  p. 6
5.1Properties of the Poisson distribution  p. 7
5.2Equivalence between Poisson distribution and Chi Square distribution  p. 7
5.3Confidence interval  p. 12
5.4Application of the confidence interval to decide the outcome of the test  p. 13
5.5Test time reduction  p. 14
5.6Calculation of the intersection coordinates  p. 16
5.7Wrong decision risk F  p. 17
6F to D conversion in BER BLER tests  p. 17
6.1Conversion F to D  p. 17
6.2Introduction  p. 17
6.3The simulation procedure  p. 18
6.3.1Equal pass and fail probability  p. 18
6.3.2Unequal pass and fail probability  p. 19
6.4Result of the simulation: M-F array  p. 20
7Definitions, symbols and abbreviations  p. 20
7.1Definitions  p. 20
7.2Symbols  p. 21
7.3Abbreviations  p. 21
7.4Equations  p. 21
8Introduction  p. 21
9Statistical characteristics of testing processes  p. 22
9.1Exact probability distribution functions  p. 22
9.2Approximation with continuous distributions  p. 23
9.3Simple test criteria and significance level  p. 24
10Early Pass/Fail termination of testing  p. 24
10.1Framework of test method  p. 24
10.2Early Pass/Fail criteria  p. 25
10.3Estimating the test time  p. 31
10.4Minimizing the test time  p. 33
10.4.1Truncation  p. 33
10.4.2Decimation  p. 35
10.4.3Composite criteria  p. 35
11Accuracy of Continuous Distributions  p. 36
$Change history  p. 40

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