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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Time Series Analysis

, Time Series Analysis provides an accessible yet thorough introduction to the methods for modeling linear stochastic systems. It will help you;

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Optimal Statistical Inference in Financial Engineering

testing hypothesis and discriminant analysis for independent observations. It then explores stochastic processes, many famous time series models;

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Stochastic Modeling

Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software allows for new;

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Time Series and Panel Data Econometrics

This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial;

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Contributions to Financial Econometrics

software package. Starting with a survey of recent theoretical developments for time series models with GARCH errors, the contributions go on to;

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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

In this brief we consider some stochastic models that may be used to study problems related to environmental matters, in particular, air;

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A Structural Framework for the Pricing of Corporate Securities

, traditionalassetpricingmodelscouldnotpricecorporatesecuritiess- ?ciently well. Time series properties of quoted securities were di?cult to replicate. In the search for more advanced models that capture;

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Flowgraph Models For Multistate Time-To-Event Data

computation, real data, and Bayesian methods for problem solving Real--world examples for analyzing data from stochastic processes The use;

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London Mathematical Society Lecture Note Series

semigroups. For all workers on stochastic partial differential equations this book will have much to offer.;

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Stochastic Exponential Growth and Lattice Gases

The book discusses a class of discrete time stochastic growth processes for which the growth rate is proportional to the exponential of a;

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Statistical Methods for Stochastic Differential Equations

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and;

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Stochastic Economic Dynamics

and rigorous treatment of uncertainty and its implications for describing stochastic processes by the stochastic differential equations of the;

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Integrated Supply Chain Planning in Chemical Industry

simulation framework is designed taking into account time series models for modelling chemical production processes, linear optimization models for;

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Stochastic Models for Time Series

This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools;

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Estimation in Conditionally Heteroscedastic Time Series Models

In his seminal 1982 paper, Robert F. Engle described a time series model with a time-varying volatility. Engle showed that this model;

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Stochastic models for repairable systems

STOCHASTIC MODELS FOR REPAIRABLE SYSTEMS;

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Statistical Methods and Modeling of Seismogenesis

commonality between them all is the presence of natural randomness. Stochastic studies (probability, stochastic processes and statistics) can be;

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Option Pricing and Estimation of Financial Models with R

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous;

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Option Pricing with Long Memory Stochastic Volatility Models

. Using the tools from stochastic calculus, fractional calculus and Fourier transform, we derive the (approximate) analytical solutions for option;

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Time Series Analysis

of the key methods for building, classifying, testing, and analyzing stochastic models for time series and describes their use in five important;

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Recent Advances In Stochastic Modeling And Data Analysis

, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for;

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GARCH Models

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting;

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Modeling and Analysis of Stochastic Systems

most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes;

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Modeling and Analysis of Stochastic Systems

most important classes of stochastic processes used in the modeling of diverse systems. For each class of stochastic process, the text includes;

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The Econometric Analysis of Seasonal Time Series

economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear;

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Stochastic Biomathematical Models

. In certain biological systems, stochastic effects may even enhance a signal, thus providing a biological motivation for the noise observed in living;

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