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• Basic descriptions and properties
• linear physical systems
• probability fundamentals
• statistical principles
• stationary random processes
• single-input/output relationships
• multiple-input/output relationships
• statistical errors in basic estimates
• statistical estimates in advanced estimates
• data acquisition and processing
• digital data analysis
• nonstationary data analysis
• the Hilbert transform. Appendixes: statistical tables
• definitions for random data analysis.
• (source: Nielsen Book Data)

The classic reference on the theory and application of random data analysis-now expanded and revised. This eagerly awaited new edition of the bestselling random data analysis book continues to provide first-rate, practical tools for scientists and engineers who investigate dynamic data as well as those who use statistical methods to solve engineering problems. It is fully updated, covering new procedures developed since 1986 and extending the discussion to a remarkably broad range of applied fields, from aerospace and automotive industries to biomedical research. Comprehensive and self-contained, this new edition also greatly expands coverage of the theory, including derivations of key relationships in probability and random process theory not usually found in books of this kind. Special features of Random Data: Analysis and Measurement Procedures, Third Edition include: Basic probability functions for level crossings and peak values of random data Complete derivations of both old and new practical formulas for statistical error analysis of computed estimates The latest methods for data acquisition and processing as well as nonstationary data analysis Additional techniques on digital data analysis procedures New material on the analysis of multiple-input/multiple-output linear systems Numerous new examples and problem sets Hundreds of updated illustrations and references.
(source: Nielsen Book Data)

• Overview
• Form and structure
• Process and time
• Compare and contrast
• Case studies
• Interactive graphics
• Visual index
• Appendix.

Any scientist or engineer who communicates research results will immediately recognize this practical handbook as an indispensable tool. The guide sets out clear strategies and offers abundant examples to assist researchers-even those with no previous design training-with creating effective visual graphics for use in multiple contexts, including journal submissions, grant proposals, conference posters, or presentations. Visual communicator Felice Frankel and systems biologist Angela DePace, along with experts in various fields, demonstrate how small changes can vastly improve the success of a graphic image. They dissect individual graphics, show why some work while others don't, and suggest specific improvements. The book includes analyses of graphics that have appeared in such journals as Science, Nature, Annual Reviews, Cell, PNAS, and the New England Journal of Medicine, as well as an insightful personal conversation with designer Stefan Sagmeister and narratives by prominent researchers and animators.
(source: Nielsen Book Data)