Last edited by Yozshuzragore

Sunday, July 12, 2020 | History

3 edition of **Probabilistic models in engineering sciences** found in the catalog.

Probabilistic models in engineering sciences

Harold J. Larson

- 40 Want to read
- 35 Currently reading

Published
**1989**
by R.E. Krieger Pub. Co. in Malabar, Fla
.

Written in English

- Engineering -- Statistical methods.,
- Probabilities.,
- Stochastic processes.

**Edition Notes**

Includes bibliographical references and index.

Statement | Harold J. Larson, Bruno O. Shubert. |

Contributions | Shubert, Bruno O. |

Classifications | |
---|---|

LC Classifications | TA340 .L37 1989 |

The Physical Object | |

Pagination | v. <2 > : |

ID Numbers | |

Open Library | OL2184920M |

ISBN 10 | 0894643738 |

LC Control Number | 89002828 |

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Probabilistic Risk Assessment Methods and Case Studies (USEPA a) for managers and agency scientists to gain a better understanding of the principles of PRA without the more detailed discussion presented in the White Paper. Numerous advisory bodies, such as the Science Advisory Board (SAB) and the National Research. In the professional practice of engineering, it is books on applications that prove more valuable. These resources provide insights that contribute to quality engineering work product. Dr. Suhir’s new book Human-in-the-Loop: Probabilistic Modeling of an Aerospace Mission Outcome is just such a resource. In this book, he applies probability to.

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Probabilistic models in engineering sciences (v. 1) Hardcover – January 1, by Harold J Larson (Author)Cited by: Probabilistic Models in Engineering Sciences: Random Noise, Signals, and Dynamic Systems by Harold J. Larson (Author)Cited by: 7. Additional Physical Format: Online version: Larson, Harold J., Probabilistic models in engineering sciences.

New York: Wiley, © (OCoLC) This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences.

Probabilistic Models in Engineering Sciences: Random Noise, Signals and Dynamic Systems v. 2 Shubert, Bruno O., Larson, Harold J. Published by John Wiley & Sons Inc (). ISBN: OCLC Number: Description: volumes : illustrations ; 25 cm: Contents: v.

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