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

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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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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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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The Practice of Qualitative Data Analysis

This book is a companion to the first volume of The Practice of Qualitative Data Analysis published in 2021. Volume 2 provides an additional nine case studies of real-world examples that illustrate how MA…

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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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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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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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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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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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Jun Sun, Yinglin Xia
Bioinformatic and Statistical Analysis of Microbiome Data

This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinforma…

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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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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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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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