1. Preface

   EditorialNotes Pages: IX - X

2. Improved ARMA spectral estimation

   • H. L. Gray
   • Wayne A. Woodward

   OriginalPaper Pages: 385 - 398

3. Fractionally differenced models for water quality time series

   • W. Smith
   • C. M. Harris

   OriginalPaper Pages: 399 - 420

4. On a class of threshold AR(k) processes

   • J. D. Petruccelli
   • S. W. Woolford

   OriginalPaper Pages: 421 - 436

5. Robustness and exponentiality in redundant repairable systems

   • J. Keilson

   OriginalPaper Pages: 439 - 447

6. Machine interference in automated cells

   • E. A. Elsayed
   • J. J. Norton

   OriginalPaper Pages: 449 - 468

7. On the validity and utility of queueing models of human service systems

   • L. Green
   • P. Kolesar

   OriginalPaper Pages: 469 - 479

8. Approximate analysis of arbitrary configurations of open queueing networks with blocking

   • T. Altiok
   • H. G. Perros

   OriginalPaper Pages: 481 - 509

9. Representation and analysis of transfer lines with machines that have different processing rates

   • S. B. Gershwin

   OriginalPaper Pages: 511 - 530

10. Majorization and arrangement orderings in open queueing networks

    • D. D. Yao

    OriginalPaper Pages: 531 - 543

11. Computing risk profiles for composite low-probability high-consequence events

    • D. I. Heimann
    • T. S. Glickman

    OriginalPaper Pages: 545 - 560

12. Probabilistic analysis of combat models

    • N. K. Jaiswal

    OriginalPaper Pages: 561 - 573

13. Statistics of the three-parameter weibull distribution

    • R. L. Smith
    • J. C. Naylor

    OriginalPaper Pages: 577 - 587

14. Avionics reliability analysis

    • R. D. Foley
    • S. Suresh

    OriginalPaper Pages: 589 - 611

15. Relevance of the Bayesian paradigm for “applied probabilists”

    • N. D. Singpurwalla

    OriginalPaper Pages: 615 - 628

16. Computational relevance of the Bayesian paradigm: Discussion of Professor Singpurwalla's paper

    • E. J. Wegman

    OriginalPaper Pages: 629 - 633

17. Relevance of the Bayesian paradigm for “applied probabilists”

    • L. D. Broemeling

    OriginalPaper Pages: 635 - 639