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Univariate and Multivariate Statistical Process Control

Univariate and multivariate quality control charts are important tools for process/product monitoring and improvement. This monograph;

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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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Introduction to Statistical Process Control

A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines;

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Univariate Bivariate & Multivariate Stat

A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;

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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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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Bayesian Process Monitoring, Control and Optimization

computation. The next part explains statistical process control (SPC) and examines both univariate and multivariate process monitoring techniques;

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Process Capability Analysis

and consulting. He has taught courses dealing with statistical process control, design of experiments and data analysis for more than 100;

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Process Capability Analysis

taught courses dealing with statistical process control, design of experiments and data analysis for more than 100 companies and government;

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Applied Univariate, Bivariate, & Multivariate Stat istics

AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES This revised and updated second edition;

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Asymptotics, Nonparametrics, and Time Series

, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models.;

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Asymptotics, Nonparametrics, and Time Series

, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models.";

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Linear Model Theory

analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed;

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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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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New;

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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows;

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Regression And Time Series Model Selection

This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model;

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Multivariate Analysis with LISREL

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;

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Advances In Multivariate Statistical Methods

, statistical process control, etc.Researchers, professionals and advanced graduates will find the book an essential resource for modern developments;

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Multivariate Statistical Methods

of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method;

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Multivariate Statistical Methods

of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method;

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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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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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Applying and Interpreting Statistics

and methods to investigative questions and background information, and connects statistical results with interpretations in plain English;

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