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Statistics for Innovation : Statistical Design of “Continuous” Product Innovation

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Cover of 'Statistics for Innovation : Statistical Design of “Continuous” Product Innovation'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis of User Needs for the Redesign of a Postural Seat System
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    Chapter 2 Statistical Design for Innovation in Virtual Reality
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    Chapter 3 Robust Ergonomic Virtual Design
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    Chapter 4 Computer Simulations for the Optimization of Technological Processes
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    Chapter 5 Design for Computer Experiments: Comparing and Generating Designs in Kriging Models
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    Chapter 6 New Sampling Procedures in Coordinate Metrology Based on Kriging-Based Adaptive Designs
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    Chapter 7 Product and Process Innovation by Integrating Physical and Simulation Experiments
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    Chapter 8 Continuous Innovation of the Quality Control of Remote Sensing Data for Territory Management
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    Chapter 9 An Innovative Online Diagnostic Tool for a Distributed Spatial Coordinate Measuring System
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    Chapter 10 Technological Process Innovation via Engineering and Statistical Knowledge Integration
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    Chapter 11 Bayesian Reliability Inference on Innovated Automotive Components
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    Chapter 12 Stochastic Processes for Modeling the Wear of Marine Engine Cylinder Liners
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    Chapter 13 A New Control Chart Achieved via Innovation Process Approach
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    Chapter 14 A Critical Review and Further Advances in Innovation Growth Models
Attention for Chapter 3: Robust Ergonomic Virtual Design
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Citations

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Chapter title
Robust Ergonomic Virtual Design
Chapter number 3
Book title
Statistics for Innovation
Published by
Springer, Milano, January 2009
DOI 10.1007/978-88-470-0815-1_3
Book ISBNs
978-8-84-700814-4, 978-8-84-700815-1
Authors

Stefano Barone, Antonio Lanzotti

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Lecturer 1 25%
Student > Postgraduate 1 25%
Unknown 1 25%
Readers by discipline Count As %
Engineering 2 50%
Business, Management and Accounting 1 25%
Nursing and Health Professions 1 25%

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