Selected Collected Works.

Selected Collected Works. / Volume 2, : Probability Theory and Extreme Value Theory / / ed. by Peter G. Hall.

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
MitwirkendeR:
BERGSTRÖM, HARALD,
BHATTACHARYA, R. N.,
BHATTACHARYA, RABI N.,
BOROVSKIKH, YU. V.,
DEHEUVELS, PAUL,
DENKER, MANFRED,
HAIMAN, GEORGE,
HAREL, M.,
HAREL, MICHEL,
JUREČKOVÁ, JANA,
KIKI, MAXIME,
MAYEUR, NELLY,
NEVZOROV, VALERY,
O\x27CINNEIDE, COLM ART,
PURI, L. MADAN,
PURI, M. L.,
PURI, MADAN L.,
PURI, ΜADAN L.,
RALESCU, STEFAN S.,
RALESCU, STEFAN,
RÖSLER, UWE,
SAZONOV, V. V.,
SEOH, M.,
SEOH, MUNSUP,
TANIGUCHI, MASANOBU,
TRAN, LANH T.,
WU, T.-J.,
HerausgeberIn:
Hall, Peter G.,
Place / Publishing House:Berlin ;, Boston : : De Gruyter Mouton, , [2011]
©2003
Year of Publication:2011
Edition:Reprint 2011
Language:English
Series:Selected Collected Works ; Volume 2
Online Access:
Physical Description:1 online resource (743 p.)
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Table of Contents:
  • I-XII
  • Part I Limit Theorems, Rates of Convergence, and Related Topics (Independent Case)
  • ORDER OF NORMAL APPROXIMATION FOR RANK TEST STATISTICS DISTRIBUTION
  • CONVERGENCE AND REMAINDER TERMS IN LINEAR RANK STATISTICS
  • INVARIANCE PRINCIPLES FOR RANK STATISTICS FOR TESTING INDEPENDENCE
  • ON THE DEGENERATION OF THE VARIANCE IN THE ASYMPTOTIC NORMALITY OF SIGNED RANK STATISTICS
  • ON THE ORDER OF MAGNITUDE OF CUMULANTS OF VON MISES FUNCTIONALS AND RELATED STATISTICS
  • ON BERRY-ESSEEN RATES, A LAW OF THE ITERATED LOGARITHM AND AN INVARIANCE PRINCIPLE FOR THE PROPORTION OF THE SAMPLE BELOW THE SAMPLE MEAN
  • CRAMÉR TYPE LARGE DEVIATIONS FOR GENERALIZED RANK STATISTICS
  • ON THE RATE OF CONVERGENCE IN THE CENTRAL LIMIT THEOREM FOR SIGNED RANK STATISTICS
  • A SHARPENING OF THE REMAINDER TERM IN THE HIGHER-DIMENSIONAL CENTRAL LIMIT THEOREM FOR MULTILINEAR RANK STATISTICS
  • THE ORDER OF NORMAL APPROXIMATION FOR SIGNED LINEAR RANK STATISTICS
  • CENTRAL LIMIT THEOREM FOR PERTURBED EMPIRICAL DISTRIBUTION FUNCTIONS EVALUATED AT A RANDOM POINT
  • LIMIT THEOREMS FOR RANDOM CENTRAL ORDER STATISTICS
  • ASYMPTOTIC EXPANSIONS FOR SUMS OF NONIDENTICALLY DISTRIBUTED BERNOULLI RANDOM VARIABLES
  • ON THE RATE OF CONVERGENCE IN NORMAL APPROXIMATION AND LARGE DEVIATION PROBABILITIES FOR A CLASS OF STATISTICS
  • ON HILBERT-SPACE-VALUED U-STATISTICS
  • ON THE CENTRAL LIMIT THEOREM IN HILBERT SPACE WITH APPLICATION TO U-STATISTICS
  • ASYMPTOTIC EXPANSIONS IN STATISTICS: A REVIEW OF METHODS AND APPLICATIONS
  • NORMAL APPROXIMATION OF U-STATISTICS IN HILBERT SPACE
  • Part II Limit Theorems (Dependent Case)
  • EMPIRICAL DISTRIBUTION FUNCTIONS AND FUNCTIONS OF ORDER STATISTICS FOR MIXING RANDOM VARIABLES
  • AN INVARIANCE PRINCIPLE FOR PROCESSES INDEXED BY TWO PARAMETERS AND SOME STATISTICAL APPLICATIONS
  • LIMITING BEHAVIOR OF U-STATISTICS, V-STATISTICS, AND ONE SAMPLE RANK ORDER STATISTICS FOR NONSTATIONARY ABSOLUTELY REGULAR PROCESSES
  • WEAK INVARIANCE OF GENERALIZED U-STATISTICS FOR NONSTATIONARY ABSOLUTELY REGULAR PROCESSES
  • THE SPACE D̃k AND WEAK CONVERGENCE FOR THE RECTANGLE-INDEXED PROCESSES UNDER MIXING
  • WEAK INVARIANCE OF THE MULTIDIMENSIONAL RANK STATISTIC FOR NONSTATIONARY ABSOLUTELY REGULAR PROCESSES
  • WEAK CONVERGENCE OF THE SIMPLE LINEAR RANK STATISTIC UNDER MIXING CONDITIONS IN THE NONSTATIONARY CASE
  • WEAK CONVERGENCE OF WEIGHTED EMPIRICAL U-STATISTICS PROCESSES FOR DEPENDENT RANDOM VARIABLES
  • LAW OF THE ITERATED LOGARITHM FOR PERTURBED EMPIRICAL DISTRIBUTION FUNCTIONS EVALUATED AT A RANDOM POINT FOR NONSTATIONARY RANDOM VARIABLES
  • VALID EDGEWORTH EXPANSIONS OF M-ESTIMATORS IN REGRESSION MODELS WITH WEAKLY DEPENDENT RESIDUALS
  • CONDITIONAL U-STATISTICS FOR DEPENDENT RANDOM VARIABLES
  • WEAK CONVERGENCE OF SEQUENCES OF FIRST PASSAGE PROCESSES AND APPLICATIONS
  • CONDITIONAL EMPIRICAL PROCESSES DEFINED BY NONSTATIONARY ABSOLUTELY REGULAR SEQUENCES
  • Part III Extreme Value Theory
  • A STRONG INVARIANCE PRINCIPLE CONCERNING THE J-UPPER ORDER STATISTICS FOR STATIONARY m-DEPENDENT SEQUENCES
  • A STRONG INVARIANCE PRINCIPLE CONCERNING THE J-UPPER ORDER STATISTICS FOR STATIONARY GAUSSIAN SEQUENCES
  • EXTREMES OF MARKOV SEQUENCES
  • RECORDS AND 2-BLOCK RECORDS OF 1-DEPENDENT STATIONARY SEQUENCES UNDER LOCAL DEPENDENCE
  • Part IV Appendices A, Β and C
  • Appendix A Volume 1 Nonparametric Methods in Statistics and Related Topics
  • Appendix Β Volume 3 Time Series, Fuzzy Analysis and Miscellaneous Topics
  • Appendix C The Publications of Madan Lal Puri

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