Evaluating measurement accuracy a practical approach / Semyon G. Rabinovich.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783319601250
- 3319601253
- T50 .E935 2017
- QC1-75
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode | |
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G. Allen Fleece Library ONLINE | Non-fiction | T50 (Browse shelf(Opens below)) | Link to resource | Available | on1003262467 |
Includes bibliographies and index.
Preface to the Third Edition; Contents; Abbreviations of Names of Organizations and Institutions; Chapter 1: General Concepts in the Theory of Measurements; 1.1 Basic Concepts and Terms; 1.2 The Basic Metrological Problems; 1.3 New Forms of International Cooperation in Metrology; 1.4 Postulates of the Theory of Measurements; 1.5 Classification of Measurements; 1.6 Classification of Measurement Errors; 1.7 General Approach to Evaluation of Measurement Inaccuracy; 1.8 Presentation of Measurement Results; Chapter 2: Measuring Instruments and Their Properties; 2.1 Types of Measuring Instruments
2.2 Metrological Characteristics of Measuring Instruments2.3 Rating of the Errors of Measuring Instruments; 2.4 Dynamic Characteristics of Measuring Instruments; 2.5 Calibration and Verification of Measuring Instruments; 2.6 Designing a Calibration Scheme; 2.7 Statistical Analysis of Measuring Instrument Errors; Chapter 3: Statistical Methods for Experimental Data Processing; 3.1 Methods for Describing Random Quantities; 3.2 Requirements for Statistical Estimates; 3.3 Evaluation of the Parameters of the Normal Distribution; 3.4 Elimination of Outlying Data
3.5 Construction of Confidence Intervals3.6 Reliability of Estimation of the Variance of a Sample from a Normal Distribution; 3.7 Reliability of Estimation of the Standard Deviation of the Mean of a Sample from a Normal Distribution; 3.8 Testing Hypotheses About the Form of the Distribution Function; 3.9 Testing for Homogeneity of Samples; 3.10 Robust Estimates; 3.11 Bootstrap Construction of Confidence Intervals; 3.12 Application of the Bayes ́Theorem; Chapter 4: Direct Measurements; 4.1 Relation Between Single and Multiple Measurements; 4.2 Classification of Elementary Errors
4.3 Modeling of Elementary Errors4.3.1 Absolutely Constant Errors; 4.3.2 Conditionally Constant Errors; 4.3.3 Purely Random Errors; 4.3.4 Quasirandom Errors; 4.4 Composition of Uniform Distributions; 4.5 Methods for Precise Measurements; 4.6 Accuracy of Single Measurements Using a Measuring Instrument Under Reference Conditions; 4.7 Accuracy of Single Measurements Using a Measuring Instrument Under Rated Conditions; 4.8 Comparison of Standard Deviation and Confidence Interval as Measurement Accuracy Indicators; 4.9 Accuracy of Multiple Direct Measurements
4.10 Universal Method for Summation of Random and Systematic Errors4.11 Analysis of the Accuracy of the Universal Method for Summation of Systematic and Random Errors; 4.12 Comparison of Different Methods for Combining Systematic and Random Errors; Chapter 5: Indirect Measurements; 5.1 Terminology and Classification; 5.2 Correlation Coefficient and Its Calculation; 5.3 Constructing the Composition of Histograms; 5.4 Traditional Method of Measurement Data Processing; 5.5 Shortcomings of the Traditional Method; 5.6 Method of Reduction; 5.7 Method of Enumeration
5.8 Accuracy of Single Indirect Measurements Under Reference Conditions for Instruments Involved
This work encompasses the full range of measurement data processing. It includes many solid examples that exemplify typical problems encountered in measurement practice, from general theory to practical applications.
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