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Stochastic Models, Statistics and Their Applications

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed;

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Bayesian Analysis of Stochastic Process Models

, stochastic modelling and applied statistics will also find this book useful.;

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Stochastic Modeling and Optimization

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial;

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Demography and Health Issues

applies data analysis, statistics and stochastic modeling techniques focusing on demography, population aging, mortality and health sciences. The;

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A First Course in Stochastic Models

contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and;

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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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Probability, Statistics, and Stochastic Processes for Engineers and Scientists

probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects;

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Probability, Statistics, and Stochastic Processes for Engineers and Scientists

probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects;

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Engineering Uncertainty and Risk Analysis, Second Edition. A Balanced Approach to Probability, Statistics, Stochastic Modeling, and Stochastic Differential Equations.

reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations. The author for first;

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Stochastic Processes and Applications

communities in modern stochastic processes, algebraic structures and their interplay and applications. The chapters cover both theory and applications;

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Modeling Anomalous Diffusion: From Statistics to Mathematics

(stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models;

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Comparison Methods for Stochastic Models and Risks

Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to;

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Financial And Actuarial Statistics

statistics for a collection of stochastic status models The book presents a unified approach to both financial and actuarial modeling through the;

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Financial and Actuarial Statistics

, and Gompertz and Makeham distributions Sections on the concept of actuarial statistics for a collection of stochastic status models;

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Stochastic Programming

This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The;

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Stochastic Differential Equations

combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters, market fluctuations, and epidemics;

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Intro To Probability & Mathemat

(stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward;

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Uncertainty Quantification

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their;

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Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

A comprehensive introduction to the core issues of stochastic differential equations and their effective application Introduction to;

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An Introduction to Stochastic Orders

and researchers who want to use it as a tool for their research. In addition, users will find detailed proofs of the main results;

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Point Processes

This book describes the properties of stochastic probabilistic models and develops the applied mathematics of stochastic point processes;

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Semimartingales and their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Semimartingales and Their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Stochastic Programming

, methods and applications of stochastic programming. The text is intended for researchers, students, engineers and economists, who encounter;

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Modeling and Management of Stochastic Systems

of exceptional investigations in different aspects of stochastic systems and their behavior. It presents a distinct analysis on practical aspects;

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Theory Of Preliminary Test And Stein-Type Estimation With Applications

various topics, including: Simple linear model; ANOVA; parallelism model; multiple regression model with non-stochastic and stochastic;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE;

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