Weak convergence under contiguous alternatives of the empirical process when parameters are estimated: The Dk approach

[1]  G. Neuhaus.  Asymptotic power properties of the Cramér-von Mises test under contiguous alternatives , 1976 .

[2]  G. Neuhaus,et al.  A Central Limit Theorem under Contiguous Alternatives , 1975 .

[3]  James Durbin,et al.  Weak convergence of the sample distribution function when parameters are estimated , 1973 .

[4]  K. Behnen.  A Characterization of Certain Rank-Order Tests with Bounds for the Asymptotic Relative Efficiency , 1972 .

[5]  S. Sukhatme,et al.  Fredholm Determinant of a Positive Definite Kernel of a Special Type and Its Application , 1972 .

[6]  G. Neuhaus,et al.  On Weak Convergence of Stochastic Processes with Multidimensional Time Parameter , 1971 .

[7]  K. Behnen.  Asymptotic Optimality and ARE of Certain Rank-Order Tests under Contiguity , 1971 .

[8]  W. Park.  A Multi-Parameter Gaussian Process , 1970 .

[9]  P. Billingsley,et al.  Convergence of Probability Measures , 1970, The Mathematical Gazette.

[10]  P. Sen,et al.  Theory of rank tests , 1969 .

[11]  J. Kiefer,et al.  On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods , 1955 .

[12]  D. Darling,et al.  The Cramer-Smirnov Test in the Parametric Case , 1955 .

[13]  J. Doob.  Heuristic Approach to the Kolmogorov-Smirnov Theorems , 1949 .

[14]  G. Neuhaus.  Zur verteilungskonvergenz einiger varianten der cramér-von mises-statistik , 1973 .

[15]  M. Kac.  On Some Connections between Probability Theory and Differential and Integral Equations , 1951 .