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# Table 1 Notational conventions for all but the appendices

From: Cumulative deviation of a subpopulation from the full population

Symbol | Meaning | Equation for the unweighted case | Equation for the case with weights |
---|---|---|---|

\(A_k\) | Abscissa for the cumulative graph in the case with weights | (Not applicable) | (28) |

D
| Kuiper statistic | (13) | (13) |

\(\Delta _k\) | Expected slope of \(F_j - {\tilde{F}}_j\) from \(j = k-1\) to \(j = k\) | (10) | (29) |

\(F_k\) | Cumulative response for the subpopulation | (5) | (25) |

\({\tilde{F}}_k\) | Cumulative average response for the full population | (8) | (27) |

G
| Kolmogorov-Smirnov statistic | (12) | (12) |

\(i_k\) | Index of an individual from the subpopulation | (1) | (34) |

\(P_k\) | Actual prob. of success for a Bernoulli trial in synthetic data | (Section "Synthetic") | (Section "Synthetic") |

\(R_k\) | Response—(random) dependent variable, outcome, or result | (1) | (34) |

\({\tilde{R}}_k\) | Response for the full population averaged to the subpopulation | (6) | (26) |

\(S_k\) | Score—(non-random) independent variable | (3) | (36) |

\(\sigma \) | Scale of random fluctuations over the full range of scores | (21) or (22) | (31) or (32) |

\(V_{i_k}\) | Estimate of variance in responses for a narrow bin around \(S_{i_k}\) | (23) | (33) |

\(W_k\) | Weight | (Not applicable) | (28) |

\(X_k\) | Abscissa of the subpopulation for reliability diagrams | (3) | (36) |

\({\tilde{X}}_k\) | Abscissa of the full population for reliability diagrams | (4) | (37) |

\(Y_k\) | Ordinate of the subpopulation for reliability diagrams | (1) | (34) |

\({\tilde{Y}}_k\) | Ordinate of the full population for reliability diagrams | (2) | (35) |