Novel Data-driven Analysis Methods – alle Bücher, Seite 4

Dependent Data in Social Sciences Research

This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., appr…

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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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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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Age K Smilde, Federico Marini, Johan A Westerhuis, Kristian Hovde Liland
Analysis of Variance for High-Dimensional Data

Overview of methods for analyzing high-dimensional experimental data, including theory, methodologies, and applicationsAnalysis of Variance for High-Dimensional Data summarizes all the methods to analyze …

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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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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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Julhash U. Kazi
Python Essentials for Biomedical Data Analysis: An Introductory Textbook

This introductory book is a beginner-friendly resource that empowers you to harness Python programming for exploring and understanding biomedical data. In today's data-driven world, the ability to analyze…

lieferbar ab 14.12.2025.

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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…

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Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori
Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis

This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and method…

lieferbar ab 26.11.2025.

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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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Ulrich Matte
Data Analysis with AI and R: Using OpenAI, Copilot, and aider

Upgrade your analytics with AI-from generating code to optimizing your workflows!

lieferbar ab 3.11.2025.

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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. This book delves into va…

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Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

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Application and Development of Data Simulation and Mechanical Analysis in Civil Engineering

The proceedings of the 11th International Conference on Civil Engineering are mainly aimed at middle and senior engineering and technical personnel in the field of civil engineering. It mainly reports the…

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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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