£83.77

Reliability Analysis Using MINITAB and Python

Electronics Engineering

Price data last checked 137 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the usual price. Wait for it to drop, or tell us your number.

£84 today · usual range £0–£0 · best ever £80

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 480 days • 468 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 480 days • 4 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £80-87 (214 days, 45.7%)

Price range: £80 - £118

Price levels: 4 price ranges over 468 days

Description

Reliability Analysis Using MINITAB and Python Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided. Students who have basic knowledge of probability and statistics will find this textbook highly approachable. Nonetheless, it also covers material on basic statistics at the beginning, so students who are not familiar with statistics can follow the material as well. Written by a highly qualified author in the field, sample topics covered in Reliability Analysis Using Minitab and Python include: Establishing a basic statistical background, with a focus on probability, joint probability, union probability, conditional probability, mutually exclusive events, and bayes' rule Statistical distributions, with a focus on discrete cases, continuous cases, exponential distribution, Weibull distribution, normal distribution, and lognormal distribution Reliability data plotting, with a focus on straight line properties, least squares fit, linear rectification, exact failure times, and readout failure data Accelerated life testing, with a focus on accelerated testing theory, exponential distribution acceleration, and Weibull distribution acceleration System failure modeling, with a focus on reliability block diagram, series system model, parallel system model, k-out-of-n system model, and minimal paths and minimal cuts. Repairable systems, with a focus on corrective and preventive maintenances, availability, maintainability, and preventive maintenance scheduling Reliability Analysis Using Minitab and Python serves as an excellent introductory level textbook on the topic for both undergraduate and graduate students. It presents information clearly and concisely and includes many helpful additional learning resources to aid in understanding of concepts, information retention, and practical application.

Product Specifications

Format: hardcover
ASIN: 1119870763
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electronics & Communications Engineering > Electronics Engineering
Domain: Amazon UK
Release Date: 27 October 2022
Listed Since: 14 September 2021

Barcode

No barcode data available

Reliability Analysis Using MINITAB and Python

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Concise Reliability for Engineers

Reliability: Modeling, Prediction, and Optimization: 335 (Wiley Series in Probability and Statistics)

Practical Reliability Engineering

System Reliability Theory: Models, Statistical Methods, and Applications (Wiley Series in Probability and Statistics)

Reliability Evaluation of Engineering Systems: Concepts and Techniques

Reliability Analysis for Engineers: An Introduction (Oxford Science Publications)

Probabilistic Reliability Engineering

Reliability and Risk Analysis (What Every Engineer Should Know)

Statistical Methods for the Reliability of Repairable Systems: 354 (Wiley Series in Probability and Statistics)

Reliability and Risk Analysis (What Every Engineer Should Know)

Reliability Engineering (Wiley Series in Systems Engineering and Management)

Design for Reliability: 5 (Quality and Reliability Engineering Series)

Bayesian Reliability (Springer Series in Statistics)

Reliability Technology: Principles and Practice of Failure Prevention in Electronic Systems (Quality and Reliability Engineering Series)

Reliability Engineering: A Life Cycle Approach

Reliability Analysis with Minitab

Reliability Assessments: Concepts, Models, and Case Studies

Modern Statistical And Mathematical Methods In Reliability: 10 (Series on Quality, Reliability and Engineering Statistics)

Reliability Engineering Advances

Reliability, Maintainability and Risk: Practical Methods for Engineers including Reliability Centred Maintenance and Safety-Related Systems

Optimal Reliability Design: Fundamentals and Applications

Springer Analytics Modeling in Reliability and Machine Learning

Wiley Reliability Engineering - 3rd Edition Textbook

Reliability, Quality, and Safety for Engineers