The First Pannonian Symposium on Mathematical Statistics

Table of Contents

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   Book Overview
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   Chapter 1 Improvement of Extrapolation in Multiple Time Series
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   Chapter 2 Algorithmical Definition of Finite Binary Random Sequence
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   Chapter 3 Some Remarks on the BMO Ф Spaces.
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   Chapter 4 On Unbiased Estimation of a Common Mean of Two Normal Distributions
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   Chapter 5 The Invariance Principle for Vector Valued Random Variables with Applications to Functional Random Limit Theorems
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   Chapter 6 Iterated Logarithm Laws for the Square Integral of a Wiener Process
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   Chapter 7 Asymptotic properties of the nonparametric survival curve estimators under variable censoring
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   Chapter 8 A Local Central Limit Theorem on Some Groups
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    Chapter 9 On the Statistics of Gibbsian Processes
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    Chapter 10 Efficiency of Estimates in Nonregular Cases
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    Chapter 11 Linear Forms in Random Variables Defined on a Homogeneous Markov Chain
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    Chapter 12 Parallel processing of random sequences with priority
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    Chapter 13 On the Existence of Minimal Complete Classes of Estimators
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    Chapter 14 “Eine Bemerkung Zum Vergleich Von Zweiseitigen Testproblemen”
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    Chapter 15 Duality of the maximal inequality for non-negative submartingales and of the convexity inequality of Burkholder
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    Chapter 16 On a Hoeffding-Type Problem
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    Chapter 17 Run-Test Discrimination Between Written Hungarian and Random Sequences
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    Chapter 18 Recursive Estimation in the “Almost Smooth” Case
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    Chapter 19 How Small are the Increments of a Wiener Sheet?
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    Chapter 20 An Approach to the Formula L = λV Via the Theory of Stationary Point Processes on a Space of Compact Subsets of R k
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    Chapter 21 Sequential Estimates of a Regression Function by Orthogonal Series with Applications in Discrimination
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    Chapter 22 The Asymptotic Distribution of Certain Goodness of Fit Test Statistics
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    Chapter 23 Martingales with Directed Index Set
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    Chapter 24 Extensions of Partial Homomorphisms in Probability Theory
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    Chapter 25 A Remark on the Strong Law of Large Numbers for Random Indexed Sums
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    Chapter 26 A Limit Theorem for Markov Renewal Processes
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    Chapter 27 Remark to the Derivation of the Cramér.-Kréchet-Rao Inequality in the Regular Case
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    Chapter 28 Nonparametric Density Estimators in Abstract and Homogeneous Spaces
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    Chapter 29 Non-Ergodic Stationary Information Sources