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Measurement and Data Analysis for Engineering and Science

Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods;

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Basic Experimental Strategies and Data Analysis for Science and Engineering

for where and when to use various experimental design strategies Shows compelling examples of each method discussed Illustrates how to;

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Basic Experimental Strategies and Data Analysis for Science and Engineering

designs Includes a roadmap for where and when to use various experimental design strategies Shows compelling examples of each method;

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Introduction to Probability and Statistics for Engineers

illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students;

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Introduction to Probability and Statistics for Engineers

illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students;

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Experimental Methods For Engineers

in mechanical, chemical and electrical engineering departments. It offers a broad scope of experimental measurement techniques for mechanical and;

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Big Data and Differential Privacy

practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;

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Informatics for Materials Science and Engineering

methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The discovery and maturation;

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Uncertainty Analysis of Experimental Data With R

job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a;

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Uncertainty Analysis of Experimental Data with R

Analysis of Experimental Data with R covers methods for evaluation of uncertainties in experimental data, as well as predictions made using these;

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Data Science

media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data;

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Smart Metro Station Systems

Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro;

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Experimental Vibration Analysis for Civil Structures

Experimental Vibration Analysis for Civil Structures: Testing, Sensing, Monitoring, and Control covers a wide range of topics in the areas;

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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks;

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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks;

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Engineering Science

mechanics, heat, electricity and sound. For this fourth edition sections on systems and measurement and experimental measurements have been added;

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A Guide to Microsoft Excel 2007 for Scientists and Engineers

industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis and presentation of quantitative;

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Data Science for Nano Image Analysis

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type;

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Data Science for Nano Image Analysis

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type;

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Method of Lines PDE Analysis in Biomedical Science and Engineering

learn the basic concepts of numerical analysis for PDEs and the programming of PDE algorithms * A companion website that provides source code;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

features four review papers on Professor Fang's numerous contributions to the fields of experimental design, multivariate analysis, data mining and;

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Data structures based on linear relations

derives abstract concepts from concrete problems. Besides basic concepts and analysis methods, it introduces basic data types such as sequential;

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Modeling and Management of Stochastic Systems

utility to readers with knowledge about stochastic calculus and basic probability theory. It will specifically serve as a useful resource for PhD;

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Data Analysis

situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for;

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Visual Psychophysics

A comprehensive treatment of the skills and techniques needed for visual psychophysics, from basic tools to sophisticated data analysis;

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Engineering Fluid Mechanics

flows and computational fluid dynamics. Introduction to wave hydrodynamics, experimental techniques and analysis of experimental uncertainty are;

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Multiscale Analysis of Complex Time Series

developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully;

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