Computational Statistics

  • Computational Statistics
    By Geof H. Givens, Jennifer A. Hoeting

    40 – g q) # 20 – f () - I I I () 0.5 1.0 R(A", F) recycling that allow reuse of the initial sample, thereby reducing the ... Let the test statistic be R(A, F) = 6–60. ... FIGURE 9.4 Time series of mean changes in gross domestic.

  • Computational Statistics
    By Geof H. Givens, Jennifer A. Hoeting

    S. P. Brooks. Markov chain Monte Carlo method and its application. The Statistician, 47:69–100, 1998. 71. S. P. Brooks and A. Gelman. General methods for monitoring convergene of iterative simulations. Journal of Computational and ...

  • Computational Statistics
    By James E. Gentle

    Friedman, Jerome H. (1987), Exploratory projection pursuit, Journal of the American Statistical Association 82, 249I266. Friedman, Jerome H.; Jon Louis Bentley; and Raphael Ari Finkel E.3 References to the Literature 699.

  • Computational Statistics
    By Geof H. Givens, Jennifer A. Hoeting

    A comprehensive, classroom-tested introduction to modern computational statistics This comprehensive introduction enables readers to develop a multifaceted and thorough knowledge of modern statistical computing and computational statistics. Backed by many...

  • Computational Statistics

    Efron, Bradley (1979), Bootstrap methods: Another look at the jackknife, Annals of Statistics 7, 1–26. Efron, Bradley (1982), The Jackknife, the Bootstrap and Other Resampling Methods, Society for Industrial and Applied Mathematics, ...

  • Computational Statistics: Volume 2: Proceedings of the 10th Symposium on Computational Statistics, COMPSTAT, Neuchâtel, Switzerland, August 1992
    By Yadolah Dodge, Joe Whittaker

    Intervention Analysis with SPSS/PC+ Trends K. Christof SPSS GmbH Software, Steinsdorfstraße 19, D-8000 München 22, Germany Abstract Intervention analysis is a technique used to examine the pattern of a time series before and after the ...