Random Data: Analysis and Measurement Procedures
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A timely update of the classic book on the theory and application of random data analysisFirst published in 1971, Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This Fourth Edition features coverage of new developments in random data management and analysis procedures that are applicable to a broad range of applied fields, from the aerospace and automotive industries to oceanographic and biomedical research.This new edition continues to maintain a balance of classic theory and novel techniques. The authors expand on the treatment of random data analysis theory, including derivations of key relationships in probability and random process theory. The book remains unique in its practical treatment of nonstationary data analysis and nonlinear system analysis, presenting the latest techniques on modern data acquisition, storage, conversion, and qualification of random data prior to its digital analysis. The Fourth Edition also includes:A new chapter on frequency domain techniques to model and identify nonlinear systems from measured input/output random dataNew material on the analysis of multiple-input/single-output linear modelsThe latest recommended methods for data acquisition and processing of random dataImportant mathematical formulas to design experiments and evaluate results of random data analysis and measurement proceduresAnswers to the problem in each chapterComprehensive and self-contained, Random Data, Fourth Edition is an indispensible book for courses on random data analysis theory and applications at the upper-undergraduate and graduate level. It is also an insightful reference for engineers and scientists who use statistical methods to investigate and solve problems with dynamic data. Zentralblatt Math The book is a good practical reference for working engineers and scientists in many fields.
Glossary of Symbols1 Basic Descriptions and Properties 12 Linear Physical Systems 253 Probability Fundamentals 454 Statistical Principles 795 Stationary Random Processes 1096 Single-Input/Output Relationships 1737 Multiple-Input/Output Relationships 2018 Statistical Errors in Basic Estimates 2499 Statistical Errors in Advanced Estimates 28910 Data Acquisition and Processing 31711 Data Analysis 35912 Nonstationary Data Analysis 41713 The Hilbert Transform 47314 Nonlinear System Analysis 505Bibliography 527App. A Statistical Tables 533App. B Definitions for Random Data Analysis 545List of Figures 557List of Tables 565List of Examples 567Answers to Problems in Random Data 571Index 599
