menu
{ "item_title" : "Measurements and Their Uncertainties", "item_author" : [" Ifan Hughes", "Thomas Hase "], "item_description" : "This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/19/956/633/019956633X_b.jpg", "price_data" : { "retail_price" : "41.99", "online_price" : "41.99", "our_price" : "41.99", "club_price" : "41.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Measurements and Their Uncertainties|Ifan Hughes

Measurements and Their Uncertainties : A Practical Guide to Modern Error Analysis

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory.

Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.

This item is Non-Returnable

Details

  • ISBN-13: 9780199566334
  • ISBN-10: 019956633X
  • Publisher: Oxford University Press
  • Publish Date: October 2010
  • Dimensions: 9.6 x 7.4 x 0.5 inches
  • Shipping Weight: 0.75 pounds
  • Page Count: 160

Related Categories

You May Also Like...

    1

BAM Customer Reviews