Contributions to Stochastics: In Honour of the 75th Birthday - download pdf or read online

By Miklós Csörgö, Josef Steinebach, Lajos Horváth (auth.), Professor Dr. Wolfgang Sendler (eds.)

Since the contributions to this quantity stem from very diversified fields, no test used to be made to discover a scientific ordering. All effects are new in as far as they've got no longer been released so far.

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1983): Identifiability and Modeling in Econometrics. R. 4, Academic Press, New York [20] Madansky,A. (1959): The Fitting of Straight Lines when Both Variables are Subject to Error. Journal of the American Statistical Association 54, 173 - 205 [21] Maravall,A. (1979): Identification in Dynamic Shock-Error Models. P. (1971): Estimating Structural and Functional Relationships. Journal of Multivariable Analysis 1, 232 - 255 [23] Picci,G. Pinzoni (1986): Dynamic Factor Analysis Models for Stationary Processes.

Lapok 8, 1-89. (in Hungarian) CSORG6, S. and HORVATH, L. (1985). The baboons come down from the trees quite normally. Proc. 4th Pannonian ~ on Mathematical Statistics, Vol. ~ (N. Grossman, C;:-Ch. Pflug, 1. Vincze and ~v. ) Akademiai Kiad6, Budapest, 95-106. FELLER, W. (1966). An Introduction to Probability Theory and its Applications, Vol. ~, Wiley, New York. GERCHAK, Y. (1984). Decreasing failure rates and related issues in the social sciences. Operat. Res. 32, 537-546. , SUSARLA, V. and VAN RYZIN, J.

Wald, A. (1947) Sequential Analysis, Viley. Bew York. e. do not depend on the distributions of the processes. In particular, a process can be realized in each Baire class if the time parameter set contains a nonvoid interval. Let (PI : I e T, I finite) be a projective spectrum of probability measures on E T , where T G m and E is a Hausdorff space. e. to realize the process on a set T ~ E H c ET of functions being as smooth as possible. t. the projektive spectrum. This statement is the basis of nearly all examples of processes with unpleasant path properties, occuring in text books; clearly it refers to the special measure P under consideration.

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