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Plotting p Against X

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  • J. B. Copas

Abstract

A non‐parametric binary regression function is proposed as a method of plotting p, the probability of an event, against x, the value of a quantitive variable.

Suggested Citation

  • J. B. Copas, 1983. "Plotting p Against X," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 32(1), pages 25-31, March.
    • Handle: RePEc:bla:jorssc:v:32:y:1983:i:1:p:25-31
    DOI: 10.2307/2348040
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    Cited by:

    1. Xie, Xian-Jin & Pendergast, Jane & Clarke, William, 2008. "Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2703-2713, January.
    2. Bianco, Ana M. & Boente, Graciela & Sombielle, Susana, 2011. "Robust estimation for nonparametric generalized regression," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1986-1994.
    3. Geenens, Gery & Simar, Léopold, 2010. "Nonparametric tests for conditional independence in two-way contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 101(4), pages 765-788, April.
    4. Nottingham, Quinton J. & Cook, Deborah F., 2001. "Local linear regression for estimating time series data," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 209-217, August.
    5. Ebrahimi, Nader & Molefe, Daniel, 2003. "Survival function estimation when lifetime and censoring time are dependent," Journal of Multivariate Analysis, Elsevier, vol. 87(1), pages 101-132, October.

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