LOWESS: This durable set of base routines, written in Fortran in the late 1970s, are widely used. They smooth just as a function of one predictor for data with normal errors or for data with long-tailed symmetric errors (robust fitting). Statistics for inference are not computed. S-Plus, R, Systat, XploRE, Gauss, and SAS have interfaces to LOWESS. LOWESS base software from netlib. SAS macro from Michael Friendly. LOWESS was introduced in Visual and Computational Considerations in Smoothing Scatterplots by Locally Weighted Fitting. W. S. Cleveland. In Computer Science and Statistics: Eleventh Annual Symposium on the Interface, pages 96-100. Institute of Statistics, North Carolina State University, Raleigh, North Carolina, 1978. Robust Locally Weighted Fitting and Smoothing Scatterplots. W. S. Cleveland. Journal of the American Statistical Association, 74:829-836, 1979. Computational methods were developed in LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Fitting. W. S. Cleveland. The American Statistician, 35:54, 1981. and implemented in the above base software.

References in zbMATH (referenced in 27 articles )

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  1. Mahdi Teimouri; Mahdi Torshizi; Adel Mohammadpour; Saralees Nadarajah: alphastable: An R Package for Modelling Multivariate Stable and Mixture of Symmetric Stable Distributions (2018) arXiv
  2. Seknewna, Lema Logamou; Nyamuhanga, Peter Mwita; Muema, Benjamin Kyalo: Smoothed conditional scale function estimation in AR(1)-ARCH(1) processes (2018)
  3. Talgorn, Bastien; Audet, Charles; Le Digabel, Sébastien; Kokkolaras, Michael: Locally weighted regression models for surrogate-assisted design optimization (2018)
  4. Teimouri, Mahdi; Rezakhah, Saeid; Mohammadpour, Adel: EM algorithm for symmetric stable mixture model (2018)
  5. Thomas, Zachary M.; MacEachern, Steven N.; Peruggia, Mario: Reconciling curvature and importance sampling based procedures for summarizing case influence in Bayesian models (2018)
  6. Jaeger, Byron C.; Edwards, Lloyd J.; Das, Kalyan; Sen, Pranab K.: An (R^2) statistic for fixed effects in the generalized linear mixed model (2017)
  7. Jamshidi, Arta A.; Powell, Warren B.: A recursive local polynomial approximation method using Dirichlet clouds and radial basis functions (2016)
  8. Gill, Jeff: Bayesian methods. A social and behavioral sciences approach (2015)
  9. Lindqvist, Bo Henry; Kvaløy, Jan Terje; Aaserud, Stein: Residual plots to reveal the functional form for covariates in parametric accelerated failure time models (2015)
  10. Tomazella, V. L. D.; Nadarajah, S.: Estimation of parameters in Laplace distributions with interval censored data (2015)
  11. Nadarajah, Saralees; Teimouri, Mahdi; Shih, Shou Hsing: Characterizations of the Weibull and uniform distributions using record values (2014)
  12. Ristić, Miroslav M.; Nadarajah, Saralees: A new lifetime distribution (2014)
  13. dos Santos, Marcelo Justus; Kassouf, Ana Lúcia: A cointegration analysis of crime, economic activity, and police performance in São Paulo city (2013)
  14. Withers, Christopher S.; Nadarajah, Saralees: Correlation is first order independent of transformation (2013)
  15. Hajebi, Mahtab; Rezaei, Sadegh; Nadarajah, Saralees: Confidence intervals for (P(Y < X)) for the generalized exponential distribution (2012)
  16. Knapp, Bettina: RNA interference data: from a statistical analysis to network inference (2012)
  17. Withers, Christopher S.; Nadarajah, Saralees: Unbiased estimates for a lognormal regression problem and a nonparametric alternative (2012)
  18. Lemaire, Pierre: Extensions of logical analysis of data for growth hormone deficiency diagnoses (2011) ioport
  19. Morey, Richard D.: A Bayesian hierarchical model for the measurement of working memory capacity (2011)
  20. Nadarajah, Saralees: The exponentiated exponential distribution: a survey (2011)

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