How Long to Read Uncertainty Analysis of Experimental Data with R

How Long Does it Take to Read Uncertainty Analysis of Experimental Data with R?

It takes the average reader 3 hours and 21 minutes to read Uncertainty Analysis of Experimental Data with R by Benjamin David Shaw

Assuming a reading speed of 250 words per minute. Learn more

Description

"This would be an excellent book for undergraduate, graduate and beyond....The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data.... having the understanding of data analysis that this book offers will really help researchers examine their data and consider its value from multiple perspectives – and this applies to people who have small AND large data sets alike! This book also helps people use a free and basic software system for processing and plotting simple to complex functions." Michelle Pantoya, Texas Tech University Measurements of quantities that vary in a continuous fashion, e.g., the pressure of a gas, cannot be measured exactly and there will always be some uncertainty with these measured values, so it is vital for researchers to be able to quantify this data. Uncertainty Analysis of Experimental Data with R covers methods for evaluation of uncertainties in experimental data, as well as predictions made using these data, with implementation in R. The books discusses both basic and more complex methods including linear regression, nonlinear regression, and kernel smoothing curve fits, as well as Taylor Series, Monte Carlo and Bayesian approaches. Features: 1. Extensive use of modern open source software (R). 2. Many code examples are provided. 3. The uncertainty analyses conform to accepted professional standards (ASME). 4. The book is self-contained and includes all necessary material including chapters on statistics and programming in R. Benjamin D. Shaw is a professor in the Mechanical and Aerospace Engineering Department at the University of California, Davis. His research interests are primarily in experimental and theoretical aspects of combustion. Along with other courses, he has taught undergraduate and graduate courses on engineering experimentation and uncertainty analysis. He has published widely in archival journals and became an ASME Fellow in 2003.

How long is Uncertainty Analysis of Experimental Data with R?

Uncertainty Analysis of Experimental Data with R by Benjamin David Shaw is 201 pages long, and a total of 50,451 words.

This makes it 68% the length of the average book. It also has 62% more words than the average book.

How Long Does it Take to Read Uncertainty Analysis of Experimental Data with R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 35 minutes to read Uncertainty Analysis of Experimental Data with R aloud.

What Reading Level is Uncertainty Analysis of Experimental Data with R?

Uncertainty Analysis of Experimental Data with R is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Uncertainty Analysis of Experimental Data with R?

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