Experimentation, validation, and uncertainty analysis for engineers
tarafından
 
Coleman, Hugh W., author.

Başlık
Experimentation, validation, and uncertainty analysis for engineers

Yazar
Coleman, Hugh W., author.

ISBN
9781119417668
 
9781119417705
 
9781119417989

Tek Biçim Başlık
Experimentation and uncertainty analysis for engineers

Basım Bilgisi
Fourth edition.

Fiziksel Tanımlama
1 online resource (xvi, 358 pages)

Seri
Engineering professional collection

Genel Not
First edition entitled: Experimentation and uncertainty analysis for engineers.

İçerik
Cover; Title Page; Copyright; Contents; Preface; Chapter 1: Experimentation, Errors, and Uncertainty; 1-1 Experimentation; 1-1.1 Why Is Experimentation Necessary?; 1-1.2 Degree of Goodness and Uncertainty Analysis; 1-1.3 Experimentation and Validation of Simulations; 1-2 Experimental Approach; 1-2.1 Questions to Be Considered; 1-2.2 Phases of Experimental Program; 1-3 Basic Concepts and Definitions; 1-3.1 Errors and Uncertainties; 1-3.2 Categorizing and Naming Errors and Uncertainties; 1-3.3 Estimating Standard Uncertainties; 1-3.4 Determining Combined Standard Uncertainties.
 
1-3.5 Elemental Systematic Errors and Effects of Calibration1-3.6 Expansion of Concept from ""Measurement Uncertainty"" to ""Experimental Uncertainty; 1-3.7 Repetition and Replication; 1-3.8 Associating a Percentage Coverage or Confidence with Uncertainty Estimates; 1-4 Experimental Results Determined from a Data Reduction Equation Combining Multiple Measured Variables; 1-5 Guides and Standards; 1-5.1 Experimental Uncertainty Analysis; 1-5.2 Validation of Simulations; 1-6 A Note on Nomenclature; References; Problems.
 
Chapter 2: Coverage and Confidence Intervals for an Individual Measured Variable2-1 Coverage Intervals from the Monte Carlo Method for a Single Measured Variable; 2-2 Confidence Intervals from the Taylor Series Method for a Single Measured Variable, Only Random Errors Considered; 2-2.1 Statistical Distributions; 2-2.2 The Gaussian Distribution; 2-2.3 Confidence Intervals in Gaussian Parent Populations; 2-2.4 Confidence Intervals in Samples from Gaussian Parent Populations; 2-2.5 Tolerance and Prediction Intervals in Samples from Gaussian Parent Populations.
 
2-2.6 Statistical Rejection of Outliers from a Sample Assumed from a Gaussian Parent Population2-3 Confidence Intervals from the Taylor Series Method for a Single Measured Variable: Random and Systematic Errors Considered; 2-3.1 The Central Limit Theorem; 2-3.2 Systematic Standard Uncertainty Estimation; 2-3.3 The TSM Expanded Uncertainty of a Measured Variable; 2-3.4 The TSM Large-Sample Expanded Uncertainty of a Measured Variable; 2-4 Uncertainty of Uncertainty Estimates and Confidence Interval Limits for a Measured Variable; 2-4.1 Uncertainty of Uncertainty Estimates.
 
2-4.2 Implications of the Uncertainty in Limits of High Confidence Uncertainty Intervals Used in Analysis and DesignReferences; Problems; Chapter 3: Uncertainty in a Result Determined from Multiple Variables; 3-1 General Uncertainty Analysis vs. Detailed Uncertainty Analysis; 3-2 Monte Carlo Method for Propagation of Uncertainties; 3-2.1 Using the MCM in General Uncertainty Analysis; 3-2.2 Using the MCM in Detailed Uncertainty Analysis; 3-3 Taylor Series Method for Propagation of Uncertainties; 3-3.1 General Uncertainty Analysis Using the Taylor Series Method (TSM).

Özet
Containing end-of-chapter problems and examples throughout, this must-read guide helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations. -- Edited summary from book.

Notlar
John Wiley and Sons

Konu Terimleri
Engineering -- Experiments.
 
Uncertainty.
 
Ingénierie -- Expériences.
 
Incertitude.
 
TECHNOLOGY & ENGINEERING -- Engineering (General)
 
TECHNOLOGY & ENGINEERING -- Reference.
 
Engineering -- Experiments
 
Uncertainty

Yazar Ek Girişi
Steele, W. Glenn,

Elektronik Erişim
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119417989


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