Empirical Modeling and Data Analysis for Engineers and Applied Scientists, Softcover reprint of the original 1st ed. 2016
Auteur : Pardo Scott A.
- Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models.
- Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation)
- Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process.
- Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter.
- Probability Concepts
- Statistical Concepts
- Measurement Systems Analysis
- Modeling with Data
- Factorial Experiments
- Fractional Factorial Design
- Higher Order Approximations
- Mixture Experiments
- Some Examples and Applications
- Binary Logistic Regression
- Reliability, Life Testing, and Shelf Life
- Bayesian Concepts
- Validation and Verification
- Simulation and Random Variable Generation
- Taguchi Methods and Robust Design
Scott A. Pardo, Ph.D., is a professional statistician, having worked in a wide variety of industrial contexts, including the U.S. Army Information Systems Command, satellite systems engineering, pharmaceutical development, and medical devices. He is a Six Sigma Master Black Belt, an Accredited Professional Statistician (PStat™), and holds a Ph.D. in Industrial and Systems Engineering from the University of Southern California.
Focuses on methods that can be used with "small" data sets, generally gathered in designed experiments
Encourages students to use data intrinsically meaningful to him or her, such as experimental data associated with a thesis or dissertation
Completely worked examples of mechanical, electrical, and chemical design problems
Also for use in Design for Six Sigma "black belt" courses
Date de parution : 08-2016
Ouvrage de 247 p.
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 84,39 €
Ajouter au panierDate de parution : 05-2018
Ouvrage de 247 p.
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 84,39 €
Ajouter au panier