Engineering Statistics, 4/e
Douglas C. Montgomery, George C. Runger, Norma F. Hubele
貴賓價: $1,078Software Engineering (Hardcover)
貴賓價: $1,283Multimedia Communications: Applications, Networks, Protocols, and Standards (Hardcover)
貴賓價: $1,425Analog Integrated Circuit Design
貴賓價: $1,049Fundamentals of Biostatistics, 6/e (IE) (美國版ISBN:0534418201)
售價: $2,485Statistics with STATA: Version 10, 7/e (Paperback)
貴賓價: $450深入理解 TensorFlow 架構設計與實現原理
貴賓價: $1,520MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
貴賓價: $1,724Wireshark for Security Professionals: Using Wireshark and the Metasploit Framework
貴賓價: $1,118Getting Started with NFC: Contactless Communication with Android, Arduino, and Processing
售價: $1,584Java Performance (Paperback)
貴賓價: $1,039Linear Algebra with Applications, 8/e (IE-Paperback)
售價: $1,960JUNOS High Availability (Paperback)
貴賓價: $2,205JUNOS Enterprise Switching (Paperback)
售價: $1,488Digital Forensics with Open Source Tools (Paperback)
售價: $800Ninja Hacking: Unconventional Penetration Testing Tactics and Techniques (Paperback)
The statistics every engineer should know
Statistics is essential for solving many types of engineering problems. Focusing on the statistical techniques most often used in engineering practice, Montgomery, Runger, and Hubele's Engineering Statistics, Fourth Edition presents a wide range of techniques and methods that you'll be able to call upon in your professional capacities.
Through its three previous editions, Engineering Statistics set the standard for statistical texts serving engineers. This Fourth Edition follows the classic's winning approach, and provides a host of new features and improvements that you'll appreciate. Developed initially with sponsorship from the National Science Foundation, this revision covers all the major aspects of engineering statistics including:
* Descriptive statistics
* Probability and probability distributions
* Statistical tests and confidence intervals for one and two samples
* Building regression models
* Designing and analyzing engineering experiments
* Statistical quality control
The new edition also features numerous enhancements that help you grasp and absorb the material. Emphasizing data analysis and statistical inference, the text makes use of new, cross-sections of real engineering situations and real data sets and takes a step-by-step approach so that you gain insight into the underlying structure of the problems as you master the problem-solving techniques. Notes which help you interpret results are a particularly useful feature of the revised text.
With comprehensive integration of the PC-based statistical software Minitab and online support through WileyPLUS, this newest edition of Engineering Statistics will serve as a practical introduction for students and a reliable reference for every stage of your engineering career.
1. The Role of Statistics in Engineering.
2. Data Summary and Presentation.
3. Random Variables and Probability Distributions.
4. Decision Making for a Single Sample.
5. Decision Making for Two Samples.
6. Building Empirical Models.
7. Design of Engineering Experiments.
8. Statistical Quality Control.