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Trends and Challenges in Categorical Data Analysis

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data. It gives an overview of a substantive and broad…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry us…

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Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Javad Gerami, Mohammad Reza Mozaffari
Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis

The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency,…

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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Martin Werner
Digitale Signalverarbeitung mit MATLAB®-Praktikum

Studium Technik

Dieses Buch beschreibt wie man ein robustes digitales Filter implementiert und wie man ein Filter durchstimmbar gestaltet. Die Frage, wie man ein System entwirft, das Signalwerte vorhersagt und sich dynam…

lieferbar ab 11.9.2025.

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Tamás Rudas
Lectures on Advanced Topics in Categorical Data Analysis

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorou…

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Jürgen Jost, Parvaneh Joharinad
Mathematical Principles of Topological and Geometric Data Analysis

This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory…

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Big Data Analysis and Artificial Intelligence for Medical Sciences

Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in t…

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Roberto Piazza
An Invitation to Probability and Data Analysis for Physicists

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics. It is designed to be taught at different levels, from basic to advanced, and to be enjoyed by any…

lieferbar ab 3.5.2025.

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Arshad Khan
Business Intelligence and Data Analysis in the Age of AI

Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI s transformative power to help professionals and newcomers exce…

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Thomas Cleff
Applied Statistics and Multivariate Data Analysis for Business and Economics

This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing…

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Gregor P. Henze, T. Agami Reddy
Applied Data Analysis and Modeling for Energy Engineers and Scientists

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modelin…

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Perry
Unpacking Food Choices: Using Data Analysis to Understand Nutritional Trends

Data analysis is the process of collecting, cleaning, and interpreting data to uncover patterns and trends. In the realm of nutrition, this data can come from various sources, including: National surveys…

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Mehdi Soltanifar, Hamid Sharafi, Tofigh Allahviranloo, Witold Pedrycz
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis

This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The is…

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. The book delves into var…

lieferbar ab 22.4.2025.

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Ning Xu, Yunchao Wei, Xiankai Lu, Weiyao Lin
Video Object Segmentation

This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and deve…

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Ning Xu, Yunchao Wei, Xiankai Lu, Weiyao Lin
Video Object Tracking

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and deve…

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Allen Downey
Think Stats

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs writt…

lieferbar ab 30.4.2025.

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