A Bayesian Framework for Analysis of Pseudo-Spatial Models of Comparable Engineered Systems with Application to Spacecraft Anomaly Prediction Based on Precedent Data

Text Registration

A Bayesian Framework for Analysis of Pseudo-Spatial Models of Comparable Engineered Systems with Application to Spacecraft Anomaly Prediction Based on Precedent Data

Status

Published

on 23 Mar 2018

Year of Creation

2017

Obibobi Kamtochukwu Ndu

Registration Number

TX0008607641

on 23 Mar 2018

The U.S. Copyright record (Registration Number: TX0008607641) dated 23 Mar 2018, pertains to an electronic file (eService) titled "A Bayesian Framework for Analysis of Pseudo-Spatial Models of Comparable Engineered Systems with Application to Spacecraft Anomaly Prediction Based on Precedent Data" created in 2017. The copyright holder is Obibobi Kamtochukwu Ndu, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Obibobi Kamtochukwu Ndu.

Obibobi Kamtochukwu Ndu

Application Details

Registration Number

TX0008607641

Registration Date

3/23/2018

Year of Creation

2017

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Obibobi Kamtochukwu Ndu

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: A Bayesian Framework for Analysis of Pseudo-Spatial Models of Comparable Engineered Systems with Application to Spacecraft Anomaly Prediction Based on Precedent Data

Author Statement: Obibobi Kamtochukwu Ndu Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: A Bayesian Framework for Analysis of Pseudo-Spatial Models of Comparable Engineered Systems with Application to Spacecraft Anomaly Prediction Based on Precedent Data

Author Statement: Obibobi Kamtochukwu Ndu Citizenship: not known Authorship: text

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