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Libro

Essays in probability and statistics

edited by R. C. Bose ... [et al.].

Chapel Hill : University of North Carolina Press, ©1970.

xviii, 750 págs. : 1 retr. ; 24 cm.

Serie: University of North Carolina monograph series in probability and statistics ; no. 3

ISBN: 0807811092

"A collection of essays ... dedicated to the memory of the late Professor Samarendra Nath Roy."

Incluye referencias bibliográficas.

Reseña: MathSciNet, 41 #9310

Contenido

  • T. W. Anderson, Estimation of covariance matrices which are linear combinations or whose inverses are linear combinations of given matrices
  • R. R. Bahadur and P. J. Bickel, On conditional test levels in large samples
  • R. E. Bargmann, Interpretation and use of a generalized discriminant function
  • D. Basu, On sufficiency and invariance
  • V. P. Bhapkar, Categorial data analogs of some multivariate tests
  • R. D. Bock, Estimating multinomial response relations
  • P. K. Bose and S. P. Mukherjee, Simultaneous tests for average and dispersion by combined control charts
  • R. C. Bose, Error correcting, error detecting and error locating codes
  • I. M. Chakravarti, Bounds on error correcting codes (non-random)
  • S. K. Chatterjee and P. K. Sen, Nonparametric tests for the multisample multivariate location problem
  • S. Das Gupta, Step-down multiple decision rules
  • K. R. Gabriel, On the relation between union intersection and likelihood ratio tests
  • L. J. Gleser and I. Olkin, Linear models in multivariate analysis
  • R. Gnanadesikan, S. N. Roy's interests in and contributions to the analysis and design of certain quantitative multiresponse experiments
  • J. E. Grizzle, An example of the analysis of a series of response curves and an application of multivariate multiple comparisons
  • S. S. Gupta and W. J. Studden, On some selection and ranking procedures with applications to multivariate populations
  • W. J. Hall, On characterizing dependence in joint distributions
  • N. L. Johnson, A general purpose test of censoring of extreme sample values
  • G. Kallianpur and V. Mandrekar, On the connection between multiplicity theory and O. Hanner's time domain analysis of weakly stationary stochastic processes
  • P. C. Mahalanobis, Extensions of fractile graphical analysis to higher dimensional data
  • M. A. Kastenbaum, A review of contingency tables
  • P. R. Krishnaiah and J. V. Armitage. On a multivariate F distribution; A. Linder, Testing a table of random numbers
  • S. K. Mitra and B. M. Mahajan, On gammaization of the variance ratio
  • G. S. Mudholkar, Some Tchebycheff type inequalities for matrix valued random variables
  • H. K. Nandi and B. Adhikary, m-associate cyclical association schemes
  • J. Ogawa, S. Ikeda and M. Ogasawara, On the null-distribution of the F-statistic in a randomized partially balanced incomplete block design with two associate classes under the Neyman model
  • J. Pachares, Computation of the probability integral of the non-central chi-square
  • K. C. S. Pillai, On the non-central distributions of the largest roots of two matrices in multivariate analysis
  • C. R. Rao, Inference on discriminant function coefficients
  • R. F. Potthoff, The problem of the three-way election
  • S. N. Roy and W. F. Mikhail, The admissibility of the largest characteristic root test for the normal multivariate linear hypotheses; P. K. Sen, Rank methods for combination of independent experiments in multivariate analysis of variance. I. Two treatment multiresponse case
  • J. Sethuraman, Probabilities of deviations
  • S. S. Shrikhande and Bhagwandas, A note on embedding for Hadamard matrices
  • J. N. Srivastava, Optimal balanced 2m fractional factorial designs
  • W. L. Smith, Some remarks on a distribution occurring in neural studies
  • W. A. Thompson, Jr. and R. J. Trask, Component tolerances which achieve a specified system tolerance
  • J. Wolfowitz, Reflections on the future of mathematical statistics.
 
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