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Probability Random Variables And Stochastic Processes Lecture Notes Shopping Deals on 24.02.2020 at TOPPIDUS

  • Random Sums and Branching Stochastic Processes (Lecture Notes in Statistics Book 96)

    The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes. In particular, processes with reproduction-dependent and non-stationary immigration may be analysed quite simply from this perspective. On the other hand some new characterizations of the branching process without immigration ...

    • ASIN: B000WNHAEO

  • Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics)

    In June of 1990, a conference was held on Probablity Models and Statisti­ cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians. The conference took place at the University of Massachusetts, Amherst, and was attended by 36 participants, including statisticians, mathematicians, psychologists and sociologists from the United States, Canada, Israel, Italy, and The Nether­ lands. There were 18 presentations o...

    • ASIN: 0387979204

  • Random Effect and Latent Variable Model Selection (Lecture Notes in Statistics Book 192)

    Random Effect and Latent Variable Model Selection In recent years, there has been a dramatic increase in the collection of multivariate and correlated data in a wide variety of ?elds. For example, it is now standard pr- tice to routinely collect many response variables on each individual in a study. The different variables may correspond to repeated measurements over time, to a battery of surrogates for one or more latent traits, or to multiple types of outcomes having an unknown dependence structure. Hierarchical models that incorporate subje-...

    • ASIN: B008BAAJ8O

  • Linear Processes in Function Spaces: Theory and Applications (Lecture Notes in Statistics)

    The main subject of this book is the estimation and forecasting of continuous time processes. It leads to a development of the theory of linear processes in function spaces. Mathematical tools are presented, as well as autoregressive processes in Hilbert and Banach spaces and general linear processes and statistical prediction. Implementation and numerical applications are also covered. The book assumes knowledge of classical probability theory and statistics....

    • ASIN: 0387950524

  • First Pannonian Symposium On Mathematical Statistics. (Lecture Notes in Statistics 8)

    The first Pannonian Symposium on Mathematical Statistics was held at Bad Tatzmannsdorf (Burgenland/Austria) from September 16th to 21st, 1979. The aim of it was to furthe~ and intensify scientific cooperation in the Pannonian area, which, in a broad sense, can be understood to cover Hungary, the eastern part of Austria, Czechoslovakia, and parts of Poland, ¥ugoslavia and Romania. The location of centers of research in mathematical statistics and probability theory in this territory has been a good reason for the geographical limitation of this...

    • ASIN: 0387905839

  • Probability Measures on Groups: Proceedings of the Fifth Conference Oberwolfach, Germany, January 29th - February 4, 1978 (Lecture Notes in Mathematics) (English, French and German Edition)

    • ASIN: 3540091246

  • Doubly Stochastic Poisson Processes (Lecture Notes in Mathematics)

    • ASIN: 3540077952

  • Copula Theory and Its Applications: Proceedings of the Workshop Held in Warsaw, 25-26 September 2009 (Lecture Notes in Statistics)

    Copulas are mathematical objects that fully capture the dependence structure among random variables. This book offers an up-to-date account of essential aspects of copula models. It also features papers selected from presentations at a workshop in Warsaw.

    • ASIN: 364212464X

  • Stochastic Processes and Functional Analysis: A Volume of Recent Advances in Honor of M. M. Rao (Lecture Notes in Pure and Applied Mathematics)

    This extraordinary compilation is an expansion of the recent American Mathematical Society Special Session celebrating M. M. Rao's distinguished career and includes most of the presented papers as well as ancillary contributions from session invitees. This book shows the effectiveness of abstract analysis for solving fundamental problems of stochastic theory, specifically the use of functional analytic methods for elucidating stochastic processes, as made manifest in M. M. Rao's prolific research achievements. Featuring a biography of M. M. Rao...

    • ASIN: 0824754042

  • Proceedings of the Third Japan-USSR Symposium on Probability Theory (Lecture Notes in Mathematics)

    • ASIN: 3540079955

  • Weak Dependence: With Examples and Applications (Lecture Notes in Statistics)

    This book develops Doukhan/Louhichi's 1999 idea to measure asymptotic independence of a random process. The authors, who helped develop this theory, propose examples of models fitting such conditions: stable Markov chains, dynamical systems or more complicated models, nonlinear, non-Markovian, and heteroskedastic models with infinite memory. Applications are still needed to develop a method of analysis for nonlinear times series, and this book provides a strong basis for additional studies....

    • ASIN: 0387699511

  • Asymptotic Optimal Inference for Non-Ergodic Models: Lecture Notes in Statistic 17)

    This monograph contains a comprehensive account of the recent work of the authors and other workers on large sample optimal inference for non-ergodic models. The non-ergodic family of models can be viewed as an extension of the usual Fisher-Rao model for asymptotics, referred to here as an ergodic family. The main feature of a non-ergodic model is that the sample Fisher information, appropriately normed, converges to a non-degenerate random variable rather than to a constant. Mixture experiments, growth models such as birth processes, branching...

    • ASIN: 0387908102

  • Séminaire de Probabilités XXXVIII (Lecture Notes in Mathematics) (English and French Edition)

    Besides a series of six articles on Lévy processes, Volume 38 of the Séminaire de Probabilités contains contributions whose topics range from analysis of semi-groups to free probability, via martingale theory, Wiener space and Brownian motion, Gaussian processes and matrices, diffusions and their applications to PDEs. As do all previous volumes of this series, it provides an overview on the current state of the art in the research on stochastic processes....

    • ASIN: 3540239731
    • Brand: Brand: Springer

  • Stochastic Ordering and Dependence in Applied Probability (Lecture Notes in Statistics)

    This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a comm...

    • ASIN: 0387944508

  • Probability Measures on Groups VIII: Proceedings of a Conference held in Oberwolfach, November 10-16, 1985 (Lecture Notes in Mathematics)

    • ASIN: 3540168060

  • Stochastic Modelling of Random Variables

    Stochastic Modelling of Random

    • UPC: 969499812

  • Limit Theorems for Multi-Indexed Sums of Random Variables - eBook

    Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as

    • UPC: 795265740

  • Limit Theorems for Multi-Indexed Sums of Random Variables

    Limit Theorems for Multi-indexed Sums of Random

    • UPC: 695088522

  • L-102 Probability basics & Example in Random Variables by Engineering Funda

    Probability Random Variables And Stochastic Processes Lecture Notes
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    Random variables and probability distributions : Best Engineering Mathematics Tips & Tricks

    Probability Random Variables And Stochastic Processes Lecture Notes
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    Probability And Random Variables - Week 2 - Lecture 1

    Probability Random Variables And Stochastic Processes Lecture Notes