Measurement Uncertainties in Science and Technology

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The book presents a comprehensive reworking of classical Gaussian error calculus, emphasizing a systematic approach to understanding uncertainties in measurements. It features numerous numerical examples that illustrate methods for localizing true values from measured data, making complex concepts more accessible. This edition aims to enhance clarity and usability for readers seeking to deepen their grasp of error analysis.