Data Modeling and Data Analysis: Power Query & Power Pivot Enhanced
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Vera Pawlowsky-Glahn Modeling and Analysis of Compositional Data
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Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and
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Группа авторов Applied Modeling Techniques and Data Analysis 1
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Группа авторов Applied Modeling Techniques and Data Analysis 2
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BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational
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Jichuan Wang Structural Equation Modeling
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Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using M plus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on
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Financial Investment Modeling: Excel Data Analysis Handbook
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Duncan Irving H.B. Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models
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Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from
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Hulin Wu Nonparametric Regression Methods for Longitudinal Data Analysis
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Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various
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Yoshihide Hase Power System Dynamics with Computer-Based Modeling and Analysis
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A unique combination of theoretical knowledge and practical analysis experience Derived from Yoshihide Hase's Handbook of Power Systems Engineering, 2 nd Edition , this book provides readers with everything they need to know about power system dynamics. Presented in three parts, it covers power
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Wang Jichuan Structural Equation Modeling. Applications Using Mplus
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A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling
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Luca Massaron Python for Data Science For Dummies
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies
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Michael Alexander Excel Power Pivot & Power Query For Dummies
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Learn to crunch huge amounts of data with PowerPivot and Power Query Do you have a ton of data you need to make sense of? Microsoft’s Excel program can handle amazingly large data sets, but you’ll need to get familiar with PowerPivot and Power Query to get started. And that’s where Dummies comes
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