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1990, Volume 184
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General information
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Contents
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Studies in mathematical statistics. Part 9
Preface
I. A. Ibragimov, M. S. Nikulin, V. N. Sudakov
3
Nonparametric hypothesis testing for stochastic processes
N. K. Bakirov
8–13
Nuisance parameters in financial statistics
J. R. Barra, O. Taramasko
14–25
On the asymptotic behaviour of the Gauss functional integral
V. V. Borsov
26–36
On distribution of functionals of Brownian motion, stopped at the moment inverse to local time
A. N. Borodin
37–61
$\chi^2$
-goodness test for one- and multidimensional distributions
V. G. Voinov, M. S. Nikulin
62–79
Homoclinical version of CLT
M. I. Gordin
80–91
On a class of non-uniform estimates in multidimensional limit theorems
A. Yu. Zaitsev
92–105
On a condition of constancy of regression of a polynomial statistic on sample mean
A. A. Zinger, L. B. Klebanov
106–114
Minimax Hypothesis Testing About Spectral Density
M. S. Ermakov
115–125
Conditions for Gaussian homogeneous fields to belong to classes
I. A. Ibragimov
126–143
On Poissonian components of probability distributions on
$\mathrm{R}^n$
A. I. Il'inskii
144–151
Minimax signal detection in
$l_p$
-metrics
J. I. Ingster
152–168
Stochastic processes with common contransition probabilities
S. V. Kerov, O. A. Orevkova
169–181
Verifiability and strong verifiability
E. L. Lehmann
182–188
Precise asymptotic of some Gaussian great deviations
M. A. Lifshits
189–199
On the Borel–Cantelli lemma
A. I. Martikainen, V. V. Petrov
200–207
Generating functions for
$k$
-th record times — a martingale approach
V. B. Nevzorov
208–214
Local Chernoff and Hodges–Lehmann efficiencies of linear rank symmetry tests
Ya. Yu. Nikitin
215–226
Large deviations and Bahadur efficiency of the Khmaladze–Aki statistics
O. A. Podkorytova
227–233
Admissible polinomial estimatore for quadratic polinomial of normal parameters
A. L. Ruchin
234–247
A generalisation of Steinhaus problem on the convergence of series with random signes
A. A. Ryabinin
248–259
Conditional distributions of maximum of a Gaussian random field
V. N. Sudakov
260–263
Measures on LCA groupes whose
$n$
-fold convolutions may be defined by their restriction on a massive set
A. M. Ulanovskii
264–270
On one alternative to the traditional computer tomography
L. A. Khalfin
271–278
On stationary Gaussian processes having finite correlation function
B. S. Tsirelson
279–288
On a problem of A. N. Kolmogorov
G. P. Chistyakov
289–319
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