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

New Frontiers in Textual Data Analysis

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then …

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Kazumitsu Ito
Statistical Data Analysis of Japanese Literature

While working as a full-time doctor at a hospital in the suburbs of Iwata City, Shizuoka Prefecture, Japan, I have been studying Japanese literature. This book was the culmination of over 10 years of dedi…

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Andreas Knoblauch
Mathematik für Informatik und Data Science

Dieses Buch liefert eine kompakte aber fundierte Darstellung der wichtigsten Gebiete der Mathematik für Informatik, die insbesondere für Data Science, Künstliche Intelligenz und Maschinelles Lernen notwen…

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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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Advanced Methods in Statistics, Data Science and Related Applications

This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific commu…

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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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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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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 6.11.2025.

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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 10.11.2025.

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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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