Books on the topic 'Asymptotic distribution'

Asymptotic distribution theory in nonparametric statistics. Braunschweig: Vieweg, 1985.

Denker, Manfred. Asymptotic Distribution Theory in Nonparametric Statistics. Wiesbaden: Vieweg+Teubner Verlag, 1985. http://dx.doi.org/10.1007/978-3-663-14229-4.

Levendorskiĭ, Serge. Asymptotic distribution of eigenvalues of differential operators. Dordrecht [Netherlands]: Kluwer Academic Publishers, 1990.

N, Bhattacharya R. Asymptotic statistics. Basel: Birkhäuser Verlag, 1990.

Levendorskiǐ, Serge. Asymptotic Distribution of Eigenvalues of Differential Operators. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-1918-1.

Palka, Zbigniew. Asymptotic properties of random graphs. Warszawa: Państwowe Wydawn. Nauk., 1988.

Ibragimov, I. A., N. Balakrishnan, and Valery B. Nevzorov. Asymptotic methods in probability and statistics with applications. New York: Springer Science+Business Media, 2001.

Safarov, Yu. The asymptotic distribution of eigenvalues of partial differential operators. Providence, R.I: American Mathematical Society, 1997.

Small, Christopher G. Expansions and asymptotics for statistics. Boca Raton: Chapman & Hall/CRC, 2010.

Fraser, D. A. S. Ancillaries and third order significance. Toronto, Ont: University of Toronto, Department of Statistics, 1993.

Higher order asymptotic theory for time series analysis. Berlin: Springer-Verlag, 1991.

Fujikoshi, Yasunori. Asymptotic expansions for the joint distribution of correlated hotelling's T2 statistics under normality. Toronto: University of Toronto, Dept. of Statistics, 1998.

Asymptotic Theory of Nonlinear Regression. Dordrecht: Springer Netherlands, 1997.

Hesselager, Ole. On the asymptotic distribution of weighted least squares estimators. Copenhagen: Laboratory of Actuarial Mathematics, University of Copenhagen, 1986.

Kabanov, Yuri. Two-Scale Stochastic Systems: Asymptotic Analysis and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

The Poisson-Dirichlet distribution and related topics: Models and asymptotic behaviors. Heidelberg: Springer, 2010.

Chan, Y. M. Comparison of powers for the sphericity tests using both the assymptotic distribution and the bootstrap method. [Toronto]: University of Toronto, Dept. of Statistics, 1985.

Kolassa, John Edward. Series approximation methods in statistics. 2nd ed. New York: Springer, 1997.

Series approximation methods in statistics. New York: Springer-Verlag, 1994.

The asymptotic theory of extreme order statistics. 2nd ed. Malabar, Fla: R.E. Krieger Pub. Co., 1987.

Buldygin, Valery. Asymptotic Behaviour of Linearly Transformed Sums of Random Variables. Dordrecht: Springer Netherlands, 1997.

Pavlenko, Tatijana. Asymptotic behavior of the probabilities misclassification for discriminant functions with weighting. Toronto: University of Toronto, 1997.

Judd, Kenneth L. Asymptotic methods for asset market equilibrium analysis. Cambridge, MA: National Bureau of Economic Research, 2001.

Csörgö, M. An asymptotic theory for empirical reliability and concentrationprocesses. New York: Springer-Verlag, 1986.

Sparrow, Colin. Existence of cycle-time vectors for minmax functions in dimension 3. Bristol [England]: Hewlett Packard, 1996.

Fujikoshi, Yasunori. Asymptotic approximations for EPMC's of the linear and the quadratic discriminant functions when the sample sizes and the dimension are large. Toronto: University of Toronto, Dept. of Statistics, 1997.

Srivastava, M. S. Bootstrapping Durbin-Watson statistics. Toronto: University of Toronto, Dept. of Statistics, 1985.

Srivastava, M. S. Asymptotic distributions of some test criteria for the covariance matrix in elliptical distributions under local alternatives. [Toronto, Ont: University of Toronto, Department of Statistics, 1993.

Singer, Julio da Motta, 1950-, ed. Large sample methods in statistics: An introduction with applications. New York: Chapman & Hall, 1993.

Verrill, S. P. Confidence bounds and hypothesis tests for normal distribution coefficients of variation. Madison, WI: USDA, Forest Service, Forest Products Laboratory, 2007.

Vlaar, P. J. G. On the asymptotic distribution of impulse response functions with long run restrictions. Amsterdam: De Nederlandsche Bank, 1998.

Hawkins, D. L. A central limit theorem for certain nonlinear statistics in repeated sampling of a finite population / D.L. Hawkins, Chien-Pai Han. Arlington, Tex: University of Texas at Arlington, Dept. of Mathematics, 1996.

Franco-Belgian Meeting of Statisticians (5th 1984 Université d'Aix-Marseille Luminy). Asymptotic theory for non I.I.D. processes: Proceedings of the 5th Franco-Belgian Meeting of Statisticians, November 1984. Bruxelles: Facultés universitaires Saint-Louis, 1986.

P, McCormick William, ed. Asymptotic expansions for infinite weighted convolutions of heavy tail distributions and applications. Providence, R.I: American Mathematical Society, 2009.

1947-, Csörgö Sándor, and Horváth Lajos 1956-, eds. An asymptotic theory for empirical reliability and concentration processes. New York: Springer-Verlag, 1986.

Approximate distributions of order statistics: With applications to nonparametric statistics. New York: Springer-Verlag, 1989.

Kumazawa, Yoshiki. Large sample behaviors of statistics under random censorship. Hikone, Japan: Faculty of Economics, Shiga University, 1986.

Knight, Keith. Asympotitics for L1 regression estimators under general conditions. Toronto: University of Toronto, Dept. of Statistics, 1997.

Srivastava, M. S. Estimation of interclass and intraclass correlations in multivariate familial data. Toronto: University of Toronto, Dept. of Statistics, 1987.

Lazutkin, V. F. KAM theory and semiclassical approximations to eigenfunctions. Berlin: Springer-Verlag, 1993.

Hald, Ole H. Inverse nodal problems: Finding the potential from nodal lines. Providence, R.I: American Mathematical Society, 1996.

Ludwig, Monika. Asymptotic Geometric Analysis: Proceedings of the Fall 2010 Fields Institute Thematic Program. New York, NY: Springer New York, 2013.

S, Ferguson Thomas. Large sample theory. New York: Chapman & Hall, 1995.

Janssen, Arnold. Non-standard rank tests. New York: Springer-Verlag, 1990.

Mukhopadhyay, Nitis. Multistage selection and ranking procedures: Second-order asymptotics. New York: M. Dekker, 1994.

Srivastava, M. S. Saddlepoint method for obtaining tail probability of Wilk's likelihood ratio test. Toronto: University of Toronto, Dept. of Statistics, 1988.

Elements of large-sample theory. New York: Springer, 1999.

service), SpringerLink (Online, ed. Asymptotics for Associated Random Variables. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Approximation theory in the central limit theorems--exact results in Banach spaces. Dordrecht, Netherlands: Kluwer Academic Publishers, 1989.

A course in large sample theory. London: Chapman & Hall, 1996.