## Martynov Gennadi## Publications1. One generalization of sign and Wilcoxon tests. 2. The linear two-sample rank tests under the location
alternatives. 3. Computation of the limiting distribution for the Cramér-von
Mises normality tests. 4. Computation of limiting distribution for the Cramér-von Mises
normality tests. Computation of the quadratic forms
distribution. 5. Computing the distributions of quadratic forms in normal
variables.
6. Computing the distributions of quadratic forms in normal
variables. 7. Computation of limiting distribution for the Cramér-von Mises
normality tests. 8. Program for computing of quadratic forms distribution
functions. 9. An iterative formula for the normal quantiles. 10. Generalization of the Smirnov's formula for the quadratic
forms distributions. 11. The distribution of the omega square statistics in the
multivariate case. 12. Generalization of the omega square test. 13. The omega square tests. Moscow, "Nauka" , 1979, 80pp. 14. Fredholm determinants for kernels related with omega square
tests. 15. The program package on the queuing theory. 16. Subroutine for computing of quadratic form distributions.
17. Evaluation of the multivariate normal distributions.
18. Using of omega square tests. 19. Gaussity test for random processes. 20. Gaussity test for random processes. 21. The program package on the queuing theory.
22. Programs for computing of the multivariate normal
distribution. 23. The compound goodness-of-fit tests.
24. Computing of the distribution for the ratio of two quadratic
forms. 25. Estimating of an error arising in functionals with using the
empirical distribution. 26. The Gaussity test for random processes with estimated
parameters. 27. Computing of the normal, F-, T- and Chi- square
distributions and their quantiles. 28. The transforming of the multivariate normal integral to
finite sum of the repeating integrals. 29. Computing of the distribution for the ratio of two quadratic
forms in normal variates. 30. On the evaluation of the multivariate normal integral. 31. Algorithms for the computing of probability distributions. 32. Practice on probability theory and mathematical statistics. 1988, "Moscow State University" , 5-22 33. Probability and statistical programs from "Applied Statistics".
34. The generalization of omega square goodness-of-fit tests.
35. Statistical tests based on empirical processes
and related questions. 36. Cramér-von Mises type tests with applications to
tests of independence
for multivariate extreme-value distributions. 37. Cramér-von Mises goodness-of-fit test for logistic distribution.
38. Bi-dimensional normal distribution. In "Probability and Mathematical Statistics: Encyclopaedia", ed. Yu. V. Prokhorov, Moscow, 1999. (In Russian). 39. Cramér-von Mises test for the Gauss process on [0,1]. 40. Testing for mixed Rasch model and estimation of its latent distribution. 41. One defect of the goodness-of-fit tests based on the empirical process. 42. Karhunen-Loève expansions for weighted Wiener processes and Brownian bridges via Bessel functions. Progress in Probability, 2003, V. 55, pp. 57-93. Birkhäuser Verlag, Basel/Switzerland. ( With Deheuvels, P.) 43. Weighted Cramér-von-Mises test with estimated parameters. “ 44. Goodness of fit test and latent distribution estimation in the mixed Rasch model. “
## Translations from English in Russian:1. Kerstan J., Mattis K., Mecke J. Infinitely divisible point processes. New York: Willey 1978. (With co-translators) 2. Johnson N.L., Leone F.C. Statistical and experimental design in engeneering and the physical sciences. New York: Willey, 1977. (With co-translators) 3. Einslein K., Ralston A., Wilf H.S. Statistical methods for digital computers, New York, Willey, 1977 (With co-translators) |