Novel Data-driven Analysis Methods – alle Bücher, Seite 3

Dmytro Zherlitsyn
Financial Data Analysis Using Python

This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio t…

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Andres Fortino
Data Analysis for Business Decisions

In today's data-driven world, the ability to analyze and interpret data is no longer optional-it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to…

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System Analysis and Data Mining

The Impact of Armed Conflicts on Planetary Environmental Security.- Architecture of an Intelligent Microclimate Control System for an Industrial Enterprise.- Mathematical Modeling of Instability in Ecolog…

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Potter C. Chang
Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

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Ramesh S. V. Teegavarapu
Imputation Methods for Missing Hydrometeorological Data Estimation

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free,…

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Smart Applications and Data Analysis

This two-volume set CCIS 2167-2168 constitutes the proceedings of the 5th International Conference on Smart Applications and Data Analysis, SADASC 2024, held in Tangier, Morocco, in April 2024. The 30 ful…

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Smart Applications and Data Analysis

This two-volume set CCIS 2167-2168 constitutes the proceedings of the 5th International Conference on Smart Applications and Data Analysis, SADASC 2024, held in Tangier, Morocco, in April 2024. The 30 ful…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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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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Behzad Razavi
Analysis and Design of Data Converters

Master data converter design with this definitive textbook. Razavi's intuitive pedagogical approach introduces step-by-step transistor-level designs and simulations, with 250+ examples and 350+ homework p…

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Supervised and Unsupervised Statistical Data Analysis

The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical res…

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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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Ann-Malin Schmidt
Novel Methodologies for Digital Investigations of Clothing-Body-Interactions

Introduction, Objectives and Literature Review.- Introduction and Objectives.- Literature Review.- Exerimental Methodologies to Analyse Clothing-Body In teractions Using 4D Scan Data.- Introduction and Ob…

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Kevin J Grimm
Categorical Data Analysis with Structural Equation Models

**Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly.**Providing needed skills…

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Yiannis Dimotikalis
Data Analysis and Related Applications, Volume 5

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

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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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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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