1. Counting Statistics and Error Prediction
Chapter3
Counting Statistics and Error Prediction
GK-NT-Lec-6-9
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Statistical Models 70
I. Characterization of Data 66
II. Statistical Models 70
III. Applications of Statistical Models 79
IV. Error Propagation 85
v. Optimization of Counting Experiments 92
VI. Limits of Detectability 94
VII. Distribution of Time Intervals
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5. 2.8………Statistical Models 70-1-NT
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27. 2.12 THE STANDARD, PROBABLE, AND OTHER ERRORS-NT-19
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28. 2.12 THE STANDARD, PROBABLE, AND OTHER ERRORS-NT-20
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29. 2.13 THE ARITHMETIC MEAN AND ITS STANDARD ERROR NT-21
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30. 2.13 THE ARITHMETIC MEAN AND ITS STANDARD ERROR NT-22
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31. 2.13 THE ARITHMETIC MEAN AND ITS STANDARD ERROR NT-23
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32. 2.13 THE ARITHMETIC MEAN AND ITS STANDARD ERROR NT-24
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33. 2.14 CONFIDENCE LIMITS-NT-25
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35. 2.14 CONFIDENCE LIMITS-NT-27
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36. 2.14 CONFIDENCE LIMITS-NT-28
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37. 2.14 CONFIDENCE LIMITS-NT-29
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Lec. No. 9
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39. III. APPLICATIONS OF STATISTICAL MODELS-GK-30
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40. III. APPLICATIONS OF STATISTICAL MODELS-GK-32
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43. III. APPLICATIONS OF STATISTICAL MODELS-GK-35
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44. III. APPLICATIONS OF STATISTICAL MODELS-GK-36
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46. III. APPLICATIONS OF STATISTICAL MODELS-GK-reduced-2-37
2/,
 is statistical degrees of freedom(N-1)
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47. III. APPLICATIONS OF STATISTICAL MODELS-GK-reduced-2-38
2/,
 is statistical degrees of freedom (N-1)
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48. III. Application A-APPLICATIONS OF STATISTICAL MODELS-GK-39
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49. III. Application B-APPLICATIONS OF STATISTICAL MODELS-GK-40
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Example Poisson Distribution
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72. Gaussian Probability Distribution Graphs
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