## Random Data: Analysis and Measurement ProceduresA timely update of the classic book on the theory and application of random data analysis First published in 1971, 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 data
- New material on the analysis of multiple-input/single-output linear models
- The latest recommended methods for data acquisition and processing of random data
- Important mathematical formulas to design experiments and evaluate results of random data analysis and measurement procedures
- Answers to the problem in each chapter
Comprehensive and self-contained, |

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### Conteúdo

Probability Fundamentals | |

Statistical Principles | |

Stationary Random Processes | |

SingleInputOutput Relationships | |

MultipleInputOutput Relationships | |

Nonstationary Data Analysis | |

The Hilbert Transform | |

Nonlinear System Analysis | |

Bibliography | |

Definitions for Random Data Analysis | |

List of Figures | |

List of Tables | |

CHAPTER 5 | |

Statistical Errors in Basic Estimates | |

Statistical Errors in Advanced Estimates | |

Data Acquisition and Processing | |

Data Analysis | |

CHAPTER 11 | |

CHAPTER 14 | |

### Outras edições - Visualizar todos

Random Data: Analysis and Measurement Procedures Julius S. Bendat,Allan G. Piersol Não há visualização disponível - 2010 |