Reliability And Statistical Computing Modeling Methods And Applications(1st Edition)

Authors:

Hoang Pham

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$76.99

List Price: $109.99 Savings: $33 (30%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Reliability And Statistical Computing Modeling Methods And Applications

Price:

$9.99

/month

Book details

ISBN: B001JOC13K, 978-3030434113

Book publisher: Springer

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Book Price $76.99 : This Book Presents The Latest Developments In Both Qualitative And Quantitative Computational Methods For Reliability And Statistics, As Well As Their Applications. Consisting Of Contributions From Active Researchers And Experienced Practitioners In The Field, It Fills The Gap Between Theory And Practice And Explores New Research Challenges In Reliability And Statistical Computing.  The Book Consists Of 18 Chapters. It Covers (1) Modeling In And Methods For Reliability Computing, With Chapters Dedicated To Predicted Reliability Modeling, Optimal Maintenance Models, And Mechanical Reliability And Safety Analysis; (2) Statistical Computing Methods, Including Machine Learning Techniques And Deep Learning Approaches For Sentiment Analysis And Recommendation Systems; And (3) Applications And Case Studies, Such As Modeling Innovation Paths Of European Firms, Aircraft Components, Bus Safety Analysis, Performance Prediction In Textile Finishing Processes, And Movie Recommendation Systems. Given Its Scope, The Book Will Appeal To Postgraduates, Researchers, Professors, Scientists, And Practitioners In A Range Of Fields, Including Reliability Engineering And Management, Maintenance Engineering, Quality Management, Statistics, Computer Science And Engineering, Mechanical Engineering, Business Analytics, And Data Science.