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

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…

lieferbar innerhalb 2-3 Wochen

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Ulrich Matter
Data Analysis with AI and R

Upgrade your analytics with AI---from generating code to optimizing your workflows!Data Analysis with AI and R: Using OpenAI, Copilot, and aider shows you how to improve your R code and data analytics wor…

lieferbar ab 29.7.2025.

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Sustainable Statistical and Data Science Methods and Practices

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to addr…

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Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.…

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Robert Hirsch
Analysis of Epidemiologic Data Using R

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpr…

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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…

lieferbar in mind. 4 Wochen

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Data Analysis and Related Applications 3

The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, ari…

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Dimitri Mortelmans
Doing Qualitative Data Analysis with NVivo

This open access textbook provides an introduction to the software program NVivo, the most widely used qualitative analysis program. It is a versatile program with an extensive range of accessible analysi…

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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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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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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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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 applications Analysis of Variance for High-Dimensional Data summarizes all the methods to analyze…

lieferbar ab 14.8.2025.

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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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Mark H. Holmes
Introduction to Scientific Computing and Data Analysis

This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those th…

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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…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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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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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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