Books > Reference & Interdisciplinary > Communication studies > Data analysis
|
Buy Now
Data Analysis for Scientists and Engineers (Hardcover)
Loot Price: R1,894
Discovery Miles 18 940
|
|
Data Analysis for Scientists and Engineers (Hardcover)
Expected to ship within 12 - 17 working days
|
Donate to Against Period Poverty
Total price: R1,914
Discovery Miles: 19 140
|
Data Analysis for Scientists and Engineers is a modern,
graduate-level text on data analysis techniques for physical
science and engineering students as well as working scientists and
engineers. Edward Robinson emphasizes the principles behind various
techniques so that practitioners can adapt them to their own
problems, or develop new techniques when necessary. Robinson
divides the book into three sections. The first section covers
basic concepts in probability and includes a chapter on Monte Carlo
methods with an extended discussion of Markov chain Monte Carlo
sampling. The second section introduces statistics and then
develops tools for fitting models to data, comparing and
contrasting techniques from both frequentist and Bayesian
perspectives. The final section is devoted to methods for analyzing
sequences of data, such as correlation functions, periodograms, and
image reconstruction. While it goes beyond elementary statistics,
the text is self-contained and accessible to readers from a wide
variety of backgrounds. Specialized mathematical topics are
included in an appendix. Based on a graduate course on data
analysis that the author has taught for many years, and couched in
the looser, workaday language of scientists and engineers who
wrestle directly with data, this book is ideal for courses on data
analysis and a valuable resource for students, instructors, and
practitioners in the physical sciences and engineering. * In-depth
discussion of data analysis for scientists and engineers * Coverage
of both frequentist and Bayesian approaches to data analysis *
Extensive look at analysis techniques for time-series data and
images * Detailed exploration of linear and nonlinear modeling of
data * Emphasis on error analysis * Instructor's manual (available
only to professors)
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.