Contributions to Probability. A Collection of Papers Dedicated to Eugene Lukacs

Content: 
Inside Front Cover, Page ii
Front Matter, Page iii
Copyright, Page iv
List of Contributors, Pages xiii-xv
Preface, Pages xvii-xviii
Eugene Lukacs, Pages xix-xxi
Lagrange\'s Theorem and Thin Subsequences of Squares, Pages 3-9, Paul Erdös, Melvyn B. Nathanson
A Kind of Random (= Stochastic) Integral, Pages 11-28, D.A. Kappos
Continuation of Distribution Functions, Pages 29-48, H.-J. Rossberg, B. Jesiak, G. Siegel
The Arc Sine Law of Paul Lévy, Pages 49-63, Lajos Takács
General Limit Theorems for Products with Applications to Convolution Products of Measures, Pages 65-76, Harald Bergström
Stable Limit Law and Weak Law of Large Numbers for Hilbert Space with “Large-” Rates, Pages 77-100, P.L. Butzer, L. Hahn, M.Th. Roeckerath
The Arithmetic of Distribution Functions, Pages 101-114, Roger Cuppens
On the Tails of a Class of Infinitely Divisible Distributions, Pages 115-122, Carl-Gustav Esseen
Fourier Transform Methods in the Study of Limit Theorems in a Hilbert Space, Pages 123-137, R.G. Laha, V.K. Rohatgi
Polynomials in Gaussian Variables and Infinite Divisibility?, Pages 139-142, M. Rosenblatt
On the Nondifferentiability of the Wiener Sheet, Pages 143-150, M. Csörgő, P. Révész
The Degree of Vertices on a Randomly Growing Tree, Pages 151-156, J. Gani, R. Morton
Uniform Convergence of Random Trigonometric Series and Sample Continuity of Weakly Stationary Processes, Pages 157-171, Tatsuo Kawata
Stochastic Equations Driven by Random Measures and Semimartingales, Pages 173-188, Michel Metivier
Derivations and Information Functions: (A Tale of Two Surprises and a Half), Pages 191-200, J. Aczél
Entropy of the Sum of Independent Bernoulli Random Variables and of the Multinomial Distribution, Pages 201-206, L.A. Shepp, I. Olkin
On the Concept and Measure of Information Contained in an Observation, Pages 207-214, István Vincze
The Empirical Characteristic Process When Parameters Are Estimated, Pages 215-230, Sándor Csörgő
Identifiability, Pages 231-246, M. Deistler, G. Tintner
On a Multivariate Extension of the Behrens–Fisher Law, Pages 247-253, Daniel Dugué
Constant Regression of Quadratic Statistics on the Sum of Random Variables Defined on a Markov Chain, Pages 255-266, B. Gyires
Invariance Principles for Rank Statistics for Testing Independence, Pages 267-282, Madan L. Puri, Lanh T. Tran
Integral Transformations of Distributions and Estimates of Parameters of Multidimensional Spherically Symmetric Stable Laws, Pages 283-305, V.M. Zolotarev
Eugene Lukacs: Bibliography, Pages 307-311