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Uncertainty Analysis of Experimental Data With R

always be some uncertainty with these measured values, so it is vital for researchers to be able to quantify this data. Uncertainty Analysis;

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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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Design and Analysis of Experiments with R

Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used;

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Experimental Mechanics of Solids and Structures

, statistical data analysis, design of experiments, uncertainty analysis, etc. Experimental Mechanics of Solids and Structures also replaces;

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Experimental Methods For Engineers

general engineering applications. This text emphasizes the use of uncertainty analysis and statistical data analysis in the estimation of the;

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Experimental Methods for Engineers

, and temperature, the text emphasizes the use of uncertainty analysis and statistical data analysis in estimating the accuracy;

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Optimal Experimental Design with R

design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy;

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Optimal Experimental Design with R

design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy;

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Towards A Nonlinear Quantum Physics

The author of this book presents conceptual and experimental evidence showing that Heisenberg's uncertainty relations are not valid in all;

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Experimentation, Validation, and Uncertainty Analysis for Engineers

, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet;

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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Use of Experimental Data in Testing Methods for Design Against Uncertainty

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Use of Experimental Data in Testing Methods for Design Against Uncertainty

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Experimental Design in Petroleum Reservoir Studies

>Alleviate some of the guesswork in history-matching and prediction phrases with explanations on uncertainty analysis;

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Cellular Signal Transduction in Toxicology and Pharmacology

for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those;

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Mathematica (R) in the Laboratory

of data-acquisition equipment and the analysis of experimental data. It explains how to use Mathematica to import, manipulate, visualise and;

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Mathematica (R) in the Laboratory

of data-acquisition equipment and the analysis of experimental data. It explains how to use Mathematica to import, manipulate, visualise and;

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Applied Plant Science Experimental Design and Statistical Analysis Using Sas(r) Ondemand for Academics

and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics;

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics

and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics;

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Panel Data Econometrics: Theory

exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some;

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Fuzzy Surfaces in GIS and Geographical Analysis

it is only natural to incorporate them into the analysis and display of surface data. The book defines the mathematics associated with each;

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Fuzzy Surfaces in GIS and Geographical Analysis

it is only natural to incorporate them into the analysis and display of surface data. The book defines the mathematics associated with each;

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Experimental Methods

of experimental data are reinforced with worked examples followed by student exercises.;

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Applied Longitudinal Data Analysis For Epidemiology

rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an;

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Experimental Design for Laboratory Biologists

exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and;

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Experimental Design for Laboratory Biologists

exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and;

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Experimental Combustion

Fulfilling the need for a classical approach, Experimental Combustion: An Introduction begins with an overview of the key aspects;

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