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Modern industrial statistics : with applications in R, MINITAB and JMP /

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"Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality is its main concern. Variability is inherent in all processes, whether they be manufacturing processes or se...

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Bibliographic Details
Main Authors: Kenett, Ron (Author), Zacks, Shelemyahu, 1932- (Author), Amberti, Daniele (Author)
Format: eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons, Inc., 2021.
Edition:Third edition.
Series:Statistics in practice.
Subjects:
Minitab.
JMP (Computer file)
Quality control > Statistical methods.
Reliability (Engineering) > Statistical methods.
R (Computer program language)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Modern Statistics: A Computer-Based Approach. Statistics and Analytics in Modern Industry
  • M.odern Statistics: A Computer-Based Approach. Analyzing Variability: Descriptive Statistics
  • Probability Models and Distribution Functions
  • Statistical Inference and Bootstrapping
  • Variability in Several Dimensions and Regression Models
  • Sampling for Estimation of Finite Population Quantities
  • Time Series Analysis and Prediction
  • Modern Analytic Methods
  • Modern Industrial Statistics: Design and Control of Quality and Reliability. The Role of Statistical Methods in Modern Industry and Services
  • Basic Tools and Principles of Process Control
  • Advanced Methods of Statistical Process Control
  • Multivariate Statistical Process Control
  • Classical Design and Analysis of Experiments
  • Quality by Design
  • Computer Experiments
  • Reliability Analysis
  • Bayesian Reliability Estimation and Prediction
  • Sampling Plans for Batch and Sequential Inspection
  • List of R Packages
  • Solution Manual.