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Statistical Process Monitoring and Optimization

building, and process optimization. The book covers a range of statistical methods and emphasizes practical applications of quality control systems;

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Bayesian Process Monitoring, Control and Optimization

Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced;

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Statistical Optimization of Biological Systems

screening design, applying response surface methodology, and conducting regression modeling Demonstrates the statistical analysis and optimization;

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Injection Molding Process Control, Monitoring, and Optimization

technology, and the fourth is concerned with the optimization of the process. Most the results within are from real engineering implementations and;

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Statistical Quality Control

The trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern;

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Chemical Process Performance Evaluation

Performance Evaluation introduces statistical methods and modeling techniques for process monitoring, performance evaluation, and fault diagnosis;

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Statistical Control By Monitoring And Adjustment

inadequate for modern Statistical Process Control (SPC), and there exists a need for these techniques to be augmented by methods that indicate when;

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Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes

Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial;

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Statistical Control by Monitoring and Adjustment 2e & Statistics for Experimenters

This set contains: Statistical Control by Monitoring and Adjustment, Second Edition (978-0-470-14832-7) Recent research has shown;

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Design of Experiments in Chemical Engineering

book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical;

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process;

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Statistical Inference via Convex Optimization

optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an;

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Advanced Multiresponse Process Optimisation

quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and;

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Advances in Statistical Monitoring of Complex Multivariate Processes

The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past;

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Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing;

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Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing;

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Statistics for Engine Optimization

the battle, but an unexpected ally is at hand. Statistical techniques are becoming accessible and they offer the possibility of facing the;

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Statistical Process Adjustment For Quality Control

the elementary level, focusing on statistical methods used in process adjustment (Engineering Process Control Methods or EPC) and their;

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Introduction to Process Control

statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and;

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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book;

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Frontiers in Statistical Quality Control 13

, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content;

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Distribution-Free Methods for Statistical Process Monitoring and Control

This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate;

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Distribution-Free Methods for Statistical Process Monitoring and Control

This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate;

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Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis;

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Statistical Methods for Groundwater Monitoring

and accessible treatment of the statistical methods that are useful in the analysis of environmental data. This new edition expands focus on;

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Freeze Drying of Pharmaceutical Products

technology. It discusses formulation design, process optimization and control, new PAT-monitoring tools, multivariate image analysis, process scale;

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Sampling for Natural Resource Monitoring

This book presents statistical knowledge, and methodology of sampling and data analysis specifically for spatial inventory and monitoring;

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