Asymptotic Statistics

Proceedings of the Fifth Prague Symposium, held from September 4–9, 1993

AvPetr Mandl,Marie Huskova

Häftad, Engelska, 1994

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Beskrivning

The papers collected in this book cover a wide range of topics in asymptotic statistics. In particular up-to-date-information is presented in the detection of systematic changes, in the series of observation, in robust regression analysis, in numerical empirical processes and in related areas of actuarial sciences and mathematical programming. The emphasis is on theoretical contributions that impact on statistical methods employed in the analysis of experiments and observations by biometricians, econometricians and engineers.

Produktinformation

Utgivningsdatum:1994-06-28
Mått:155 x 235 x 27 mm
Vikt:733 g
Format:Häftad
Språk:Engelska
Serie:Contributions to Statistics
Antal sidor:474
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783790807707

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Innehållsförteckning

Invited papers.- Procedures for the detection of multiple changes in series of independent observations.- Probing for information in two-stage stochastic programming and the associated consistency.- Outliers and switches in time series.- Fréchet differentiability and robust estimation.- Stein predictors and prediction regions.- Perpetuities and random equations.- On recent developments in the theory of set-indexed processes.- Regression rank scores scale statistics and studentization in linear models.- On an argmax-distribution connected to the Poisson process.- Asymptotic normality of regression M-estimators: Hadamard differentiability approaches.- Contributed papers.- Asymptotic theory for regression quantile estimators in the heteroscedastic regression model.- Nonnegative moving-average models.- Biased samples from a search and the asymptotic behaviour of Bayesian models.- A modification of least squares with high efficiency and high breakdown point in linear regression.- Significance of differences of estimates.- Adaptiveness in time series models.- Kernel estimators of integrated squared density derivatives in non-smooth cases.- Curve selection: A nonparametric approach.- Complete convergence.- Tests for heteroscedasticity based on regression quan-tiles and regression rank scores.- Parameter estimation by projecting on structural statistical models.- Some remarks on the joint estimation of the index and the scale parameter for stable processes.- Asymptotic behaviour of the error probabilities in the pseudo-likelihood ratio test for Gibbs-Markov distributions.- Detection of change in variance.- Shrinkage of maximum likelihood estimator of multivariate location.- Almost sure invariance principles for V- and U-statistics based on weakly dependent random variables.-On stability in two-stage stochastic nonlinear programming.- Spread inequality and efficiency of first and second order.- Confidence intervals for regression quantiles.- Spatial quantiles and their Bahadur-Kiefer representations.- Asymptotic expansions of error probabilities for tests.- An application of complex commutation functions.- One-sided deviations of a random walk without moment assumptions.- Asymptotic behaviour of one-step M-estimators in contaminated non-linear models.- Conditional rank tests for the two-sample problem with partially observed data.- Finiteness and continuity of differential entropy.- Characterizations of discrete probability distributions by the existence of regular conditional distributions respectively continutity from below of inner probability measures.- Diagnostics of regression model: test of goodness of fit.- On a multistage stochastic linear program.- Change point and jump estimates in an AMOC renewal model.- Conditions for consistency of MLE’s.- Improving maximum quasi-likelihood estimators.