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Statistical Topics and Stochastic Models for Dependent Data with Applications

corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov;

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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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Statistical Learning for Big Dependent Data

Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Functional Gaussian Approximation for Dependent Structures

of dependent random variables which satisfy invariance principles, making possible the statistical study of data coming from stochastic processes both;

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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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Flowgraph Models For Multistate Time-To-Event Data

techniques and combine them with data analysis and statistical methods to answer questions of practical interest. Bayesian methods of data analysis;

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Statistical Methods for Materials Science

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Financial And Actuarial Statistics

, which demonstrate how to use Excel functions for statistical and actuarial computations Problems dealing with standard probability and;

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Financial and Actuarial Statistics

Excel exercises with solutions, which demonstrate how to use Excel functions for statistical and actuarial computations Problems dealing;

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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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Weak Convergence of Stochastic Processes

in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad;

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Stochastic Models Of Tumor Latency And Their Biostatistical Applications

biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data;

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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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Semimartingales and their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Semimartingales and Their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Analysis Of Longitudinal Data

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Deterministic And Stochastic Models Of Aids Epidemics And Hiv Infections With Intervention

quasispecies.Extensive deterministic models, statistical models, stochastic models and state space models on treating AIDS patients with anti-retroviral drugs;

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Sequential Change Detection and Hypothesis Testing

, that is, when the observed data is dependent and non-identically distributed. Previous work has primarily focused on changepoint detection with;

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Sequential Change Detection and Hypothesis Testing

, that is, when the observed data is dependent and non-identically distributed. Previous work has primarily focused on changepoint detection with;

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Analysis Of Longitudinal Data 2nd

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Handbook Of Cancer Models With Applications

chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are;

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Stochastic Modelling Of Aids Epidemiology And Hiv Pathogenesis

This book discusses systematically treatment on the development of stochastic, statistical and state space models of the HIV epidemic and;

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Multi-State Survival Models for Interval-Censored Data

of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide;

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