In order to test homogeneity of r independent polynomial schemes with the same number of outcomes N under non-classical conditions where the numbers of trials n d , d = 1, . . . , r , in each of the schemes and the number of outcomes N tend to infinity, we suggest a statistic I ( λ , r ) which is a multidimensional analogue of the statistic I ( λ ) introduced by T. Read and N. Cressie. We obtain conditions of asymptotic normality of the distributions of the statistics I ( λ ) and I ( λ , r ) for an arbitrary fixed integer λ , λ ≠ 0, −1, as N → ∞, n d N −1 → ∞, d = 1, . . . , r . The expressions for the centring and normalising parameters are given in the explicit form for the hypothesis H 0 under which the distributions in these r schemes coincide, and for some class of alternatives close to H 0 .
Contents
-
Requires Authentication UnlicensedA power divergence test in the problem of sample homogeneity for large numbers of outcomes and trialsLicensedMay 1, 2005
-
Requires Authentication UnlicensedThe Poisson approximation for the number of matches of values of a discrete function on segments of a sequence of random variablesLicensedMay 1, 2005
-
Requires Authentication UnlicensedA theorem on probabilities of large deviations for decomposable statistics which do not satisfy the Cramér conditionLicensedMay 1, 2005
-
Requires Authentication UnlicensedAn upper bound for the number of functions satisfying the strict avalanche criterionLicensedMay 1, 2005
-
Requires Authentication UnlicensedAdjustment experiments for automata with variable logic of behaviourLicensedMay 1, 2005
-
Requires Authentication UnlicensedEquational closureLicensedMay 1, 2005
-
Requires Authentication UnlicensedCriteria for a Boolean function to be a repetition-free in the pre-elementary bases of rank 3LicensedMay 1, 2005
-
Requires Authentication UnlicensedOn the length of checking test for repetition-free functions in the basis {0, 1, &, ∨, ¬}LicensedMay 1, 2005
-
Requires Authentication UnlicensedTouchard C-polynomials and quasi-orthogonal to them polynomialsLicensedMay 1, 2005