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Transactions of the Seventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes and of the 1974 European Meeting of Statisticians: held at Prague, from August 18 to 23, 1974: Transactions of the Prague Conferences on Information Theory, cartea 7A

Editat de J. Kozesnik
en Limba Engleză Paperback – 5 iun 2012
The Prague Conferences on Information Theory, Statistical Decision Functions, and Random Processes have been organized every three years since 1956. During the eighteen years of their existence the Prague Conferences developed from a platform for presenting results obtained by a small group of researchers into a probabilistic congress, this being documented by the increasing number of participants as well as of presented papers. The importance of the Seventh Prague Conference has been emphasized by the fact that this Conference was held jointly with the eighth European Meeting of Statisticians. This joint meeting was held from August 18 to 23, 1974 at the Technical University of Prague. The Conference was organized by the Institute of Information Theory and Automation of the Czechoslovak Academy of Sciences and was sponsored by the Czechoslovak Academy of Sciences, by the Committee for the European Region of the Institute of Mathematical Statistics, and by the International As­ sociation for Statistics in Physical Sciences. More than 300 specialists from 25 countries participated in the Conference. In 57 sessions 164 papers (including 17 invited papers) were read, 128 of which are published in the present two volumes of the Transactions of the Conference. Volume A includes papers related mainly to probability theory and stochastic processes, whereas the papers of Volume B concern mainly statistics and information theory.
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Specificații

ISBN-13: 9789401099127
ISBN-10: 940109912X
Pagini: 604
Ilustrații: XII, 590 p.
Dimensiuni: 170 x 244 x 32 mm
Greutate: 0.95 kg
Ediția:Softcover reprint of the original 1st ed. 1977
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Transactions of the Prague Conferences on Information Theory

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

An Algebraic Treatment of Markov Processes.- On Interconnected Birth and Death Processes with Immigration.- On the Backward Extrapolation of Non-Stationary Autoregressive Series.- On Maximum Likelihood Estimation of Parameters of Autoregressive Moving Average Processes.- On Spatial-Temporal Models and Markov Fields.- Zur Auswertung des Elektromyogramms mit spektralanalytischen Methoden.- L’utilisation de la théorie des phénomènes d’attente dans l’analyse des systèmes de production agricole.- On a Class of Bi- and Multivariate Distributions Generated by Marginal Weibull Distributions.- On the General Stochastic Epidemic with Immigration in Large Populations.- On the Age Structure of Cell-Size Dependent Branching Processes.- Information Patterns in Stochastic Point Process Differential Games.- Zur Simulation stetiger stochastischer Wirtschaftmodelle.- Poissonsche zufällige Punktfolgen und ortsabhängige Verdünnungen.- Die Anzahl der Kreuzungspunkte einer Funktion mit einem Gaußschen Prozeß.- On the Stability of Spatially Homogeneous Cluster Fields.- A Markov Chain for Type Counts in Vocabulary Subgroups.- On the Realization of Stochastic Processes by Probability Distributions in Function Spaces.- Tests of Goodness-of-Fit for Stationary Processes.- Cybernetic Modelling of Queueing & Storage Systems.- Scheduling, Queues and Dynamic Allocation Indices.- Random Graph Theorems.- ????????????? ??????????? ????????? ????????????? ? ??????????? ????????? ?? ???? ???????.- Some Aspects of Automatic Systems of Statistical Inference.- Random Measures of Gleason Type.- Functionals of Brownian Motion.- An Improvement of J. F. Shapiro’s Turnpike Theorem for the Horizon of Finite StageDiscrete Dynamic Programs.- Improved Procedures for Eliminating Suboptimal Actions in Markov Programming by the Use of Contraction Properties.- On Markov Policies in Continuous Time Discounted Dynamic Programming.- Oscillations of Monotone Amplitude and Application.- Recent Developments in Ergodic Theory.- A Note on the Generalized Gamma Distribution: the Statistic U = (X - Y)/(X + Y).- On the Boundedness of Stable Processes.- On the Estimation of the Change Point in the Autoregressive Sequence.- Stochastic Processes and Properties of Invariance for Queueing Systems with Speeds and Temporary Interruptions.- Gentzen-Like Random Axiomatic Systems.- Parameter Estimation in a Linear Stochastic Differential Equation.- ????????????? ???????????? ???? CR.- A Stability Theorem for a Characterization of the Wiener Process.- The Fermion Process — a Model of Stochastic Point Process with Repulsive Points.- Some Results in the Adaptive Control of Linear Systems.- Competitive Equilibrium in a Market with Limited Cooperation.- Advances in the Theory of Stochastic Integration and Applications.- Second Order Stochastic Processes and Self-Adjoint Operators.- The Velocity of Stochastic Processes.- A Mathematical Model of Helminthiasis with External Infection.- Zur operatorentheoretischen Charakterisierung symmetrisch stabiler Prozesse.- A Contribution to the Time Series Design Problems.- A Characterization of Bounded Completeness in the Undominated Case.- Continuous Filtering Problem for Itô-McShane Stochastic Differential Equation.- Host-Vector Epidemics.- Replication and Stochastic Processes in Space.- Rényi-Mixing and Functional Limit Theorems for Martingales.- On the Moments of a Certain Class of Random Permanents.- Estimation of the Parameters andRecognition of Stochastic Processes.- Distance Distributions.- Miscellaneous Topics in Markov Chains with a General State Space.- Not Necessarily Additive Realizations of Comparative Probability Relations — a Basis of Decision Theory.- On the Optimality Conditions for Semi-Markov Decision Processes.- The Brownian Taboo Bridge with an Application in the Theory of Nonparametric Statistics.- Stochastic Processes of Second Order with Values in Banach Spaces.- Stopping Times and Markov Programming.- Dams with Variable Release Rates.- On Expected Figures and a Strong Law of Large Numbers for Random Elements in Quasi-Metric Spaces.