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Applied Modeling Techniques and Data Analysis 2 - Financial, Demographic, Stochastic and Statistical Models and Methods

on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a;

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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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Statistical Methods for Materials Science

microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and;

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

microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and;

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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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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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Data Analysis and Applications 4

areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and;

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Statistical Methods for Financial Engineering

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the;

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Statistical Methods for Financial Engineering

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the;

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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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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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Bayesian Modeling in Bioinformatics

Bayesian kernel machines, and QTL mapping. Focusing on design, statistical inference, and data analysis from a Bayesian perspective, this volume;

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Bayesian Modeling in Bioinformatics

Bayesian kernel machines, and QTL mapping. Focusing on design, statistical inference, and data analysis from a Bayesian perspective, this volume;

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Advances in Theoretical and Applied Statistics

including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official;

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Modeling with Data - Tools and Techniques for Scientific Computing

determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and;

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Financial And Actuarial Statistics

Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published, statistical;

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Financial and Actuarial Statistics

Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published;

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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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Statistical Techniques for Neuroscientists

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron;

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Optimal Statistical Inference in Financial Engineering

in Financial Engineering examines how stochastic models can effectively describe actual financial data and illustrates how to properly estimate the;

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Machine Learning in Medicine

statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis;

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Data Analysis and Applications 1

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis;

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Advanced Techniques for Modelling Maternal and Child Health in Africa

This book presents both theoretical contributions and empirical applications of advanced statistical techniques including geo-additive;

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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;

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A Course on Statistics for Finance

This text presents statistical methods for financial investment analysis. Providing the connection between elementary statistics courses;

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Data-Driven Computational Methods

Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the;

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