Correlated Data Analysis. Modeling, Analytics and Applns

✍ Scribed by Peter X. -K. Song

Publisher: Springer
Year: 2007
Tongue: English
Leaves: 353
Series: Springer Series in Statistics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Subjects

Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;

📜 SIMILAR VOLUMES

Correlated Data Analysis: Modeling, Anal

✍ Peter X.-K. Song (auth.) 📂 Library 📅 2007 🏛 Springer-Verlag New York 🌐 English

<p><P>This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional ge

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler (auth.) 📂 Library 📅 2012 🏛 Vieweg+Teubner Verlag 🌐 English

<p>This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and draw

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler 📂 Library 📅 2016 🏛 Springer Vieweg 🌐 English

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. T

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler 📂 Library 📅 2020 🏛 Vieweg + Teubner Verlag 🌐 English

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler (auth.) 📂 Library 📅 2016 🏛 Springer Vieweg 🌐 English

<p>This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications

Data Analytics Models and Algorithms fo

📁 Data Analytics Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler 📂 Library 📅 2012 🏛 Vieweg+Teubner Verlag 🌐 English

The book provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in numerous courses at the Technical Universi