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Random Growth Models

The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the;

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Products of Random Variables

Presents income growth models and numerous other applied models tapping products of random variables Authored by eminent scholars in the field;

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Random Matrices, Random Processes and Integrable Systems

growth models, and many others. Leaders in the field apply the theory of integrable systems to the solution of fundamental problems in random;

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Evolution of Biological Systems in Random Media

The book is devoted to the study of limit theorems and stability of evolving biologieal systems of particles in random environment. Here;

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Evolution of Biological Systems in Random Media

The book is devoted to the study of limit theorems and stability of evolving biologieal systems of particles in random environment. Here;

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Recent Developments in Multivariate and Random Matrix Analysis

papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;

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Random Signals

This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. The text;

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Morphological Models of Random Structures

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The;

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Some Stochastic Models For Cancer Cell Growth

premalignant and malignant clones and (ii) the growth of premalignant cell, mutation and loss of premalignant and malignant cells are random and;

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Asymptotics of Random Matrices and Related Models

asymptotics of the sum of independent variables. However, there are many models of strongly correlated random variables: for instance, the eigenvalues;

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Random Summation

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this;

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Random Summation

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this;

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SAS for Mixed Models, Second Edition

different fields of study are integrated in the discussions of these models: random effect only and random coefficients models split-plot;

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Introduction to Probability: Models and Applications

random, continuous random, and stochastic independence-multivariate random variables; transformations of random variables; covariance-correlation;

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Random Matrices And Random Partitions

This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random;

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Branching Processes and Their Applications

. Coalescent Branching Processes 2. Branching Random Walks 3. Population Growth Models in Varying and Random Environments 4. Size/Density;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Random Walk and Diffusion Models

This book offers an accessible introduction to random walk and diffusion models at a level consistent with the typical background;

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Random Fields for Spatial Data Modeling

This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data;

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Statistical Mechanics & Random Walks

In this book, the authors gather and present topical research in the study of statistical mechanics and random walk principles and;

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Software Reliability Growth Models

This book presents the basic concepts of software reliability growth models (SRGMs), ranging from fundamental to advanced level. It;

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Software Reliability Growth Models

This book presents the basic concepts of software reliability growth models (SRGMs), ranging from fundamental to advanced level. It;

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Generalized, Linear, and Mixed Models

models, random effects models, and mixed models is maintained throughout, and each chapter illustrates how these models are applicable in a wide;

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Probability Theory and Statistical Applications

of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to;

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Random Networks for Communication

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the;

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Random Graphs and Complex Networks

This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive;

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