Abstract
Some goodness-of-fit tests based on the L 1-norm are considered. The asymptotic distribution of each statistic under the null hypothesis is the distribution of the L 1-norm of the standard Wiener process on [0,1]. The distribution function, the density function and a table of some percentage points of the distribution are given. A result for the asymptotic tail probability of the L 1-norm of a Gaussian process is also obtained. The result is useful for giving the approximate Bahadur efficiency of the test statistics whose asymptotic distributions are represented as the L 1-norms of Gaussian processes.
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References
Abramowitz, M. and Stegun, I. A. (1964). Handbook of Mathematical Functions, National Bureau of Standards, No. 55, Washington, D.C.
Aki, S. (1986). Some test statistics based on the martingale term of the empirical distribution function, Ann. Inst. Statist. Math., 38, 1–21.
Aki, S. (1987). On nonparametric tests for symmetry, Ann. Inst. Statist. Math., 39, 457–472.
Bahadur, R. R. (1960). Stochastic comparison of tests, Ann. Math. Statist. 31, 276–295.
Butler, C. (1969). A test for symmetry using the sample distribution function, Ann. Math. Statist. 40, 2209–2210.
Feller, W. (1966). An Introduction to Probability Theory and Its Applications, Vol. II, Wiley, New York.
Johnson, B. McK. and Killeen, T. (1983). An explicit formula for the cdf of the L 1 norm of the Brownian bridge, Ann. Probab., 11, 807–808.
Kac, M. (1946). On the average of a certain Wiener functional and a related limit theorem in calculus of probability, Trans. Amer. Math. Soc., 59, 401–414.
Khmaladze, E. V. (1981). Martingale approach in the theory of goodness-of-fit tests, Theory Probab. Appl., 26, 240–257.
Marcus, M. B. and Shepp, L. A. (1971). Sample behavior of Gaussian processes, Proc. Sixth Berkeley Symp. on Math. Statist. Prob., Vol. 2, 423–442.
Prakasa Rao, B. L. S. (1987). Asymptotic Theory of Statistical Inference, Wiley, New York.
Rice, S. O. (1982). The integral of the absolute value of the pinned Wiener process—calculation of its probability density by numerical integration, Ann. Probab., 10, 240–243.
Rothman, E. D. and Woodroofe, M. (1972). A Cramér-von Mises type statistic for testing symmetry, Ann. Math. Statist., 43, 2035–2038.
Shepp, L. A. (1982). On the integral of the absolute value of the pinned Wiener process, Ann. Probab., 10, 234–239.
Shorack, G. R. and Wellner, J. A. (1986). Empirical Processes with Applications to Statistics, Wiley, New York.
Zolotarev, V. M. (1957). Mellin-Stieltjes transform in probability theory, Theory Probab. Appl., 2, 433–459.
Zolotarev, V. M. (1964). On the representation of stable laws by integrals, Trudy Mat. Inst. Steklov., 71, 46–50 (English transl. in Selected Translations Math. Statist. Probab., 6, 84–88, Amer. Math. Soc., Providence, Rhode Island).
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Aki, S., Kashiwagi, N. Asymptotic properties of some goodness-of-fit tests based on the L 1-norm. Ann Inst Stat Math 41, 753–764 (1989). https://doi.org/10.1007/BF00057739
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DOI: https://doi.org/10.1007/BF00057739