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Advances in Statistical Monitoring of Complex Multivariate Processes

economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent;

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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 Process Monitoring and Optimization

Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical;

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Chemical Process Performance Evaluation

The latest advances in process monitoring, data analysis, and control systems are increasingly useful for maintaining the safety;

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Advances In Multivariate Statistical Methods

This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and;

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Multivariate Statistical Methods in Quality Management

TOOLSThere's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- Multivariate;

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Univariate and Multivariate Statistical Process Control

Univariate and multivariate quality control charts are important tools for process/product monitorin;...

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Multivariate Statistical Process Control with Industrial Applications

This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC;

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Aspects of Multivariate Statistical Theory

Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal;

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Introduction to Multivariate Calibration

This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real;

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Applied Multivariate Research

behavioral sciences are exposed to the complex multivariate statistical techniques such as correlation and multiple regression, exploratory factor;

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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 Inference For Models With Multivariate T-Distrib

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for;

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Recent Advances in Functional Data Analysis and Related Topics

, 2011), in which many outstanding experts on FDA will present the most relevant advances in this pioneering statistical area. Undoubtedly, these;

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Multivariate Data Analysis

analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to;

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Progress in Chemometrics Research

Chemometrics is the chemical discipline that uses mathematical, statistical and other methods employing formal logic: to design or select;

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Levees and Dams

methods* Inverse modeling approaches* Statistical considerations* Monitoring of processes attending aging structures * Hazard monitoring* Risk;

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Modern Nonparametric, Robust and Multivariate Methods

methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the;

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Discrete Multivariate Distributions

Timely, comprehensive, practical--an important working resource for all who use this critical statistical method Discrete Multivariate;

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Quantile Processes with Statistical Applications

Provides a comprehensive theory of the approximations of quantile processes in light of recent advances, as well as some of their;

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Multivariate Statistical Methods

Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple;

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Multivariate Statistical Methods

Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple;

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Nonlinear Statistical Models

A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications;

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Statistical and Multivariate Analysis in Material Science

give the readers basic knowledge on how statistical reasoning is exploitable in this field, improving their knowledge of statistical tools and;

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Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes

book fuses statistical knowledge with the engineering knowledge of product quality and unifies the design of processes and products to achieve;

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Data Analysis and Rationality in a Complex World

, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated;

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Multivariate Statistical Methods

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the;

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