rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Modern industrial statistics
    sub title: with applications in R, MINITAB and JMP
  name:
    name part: Kenett, Ron
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zacks, Shelemyahu
    name part: 1932-
    role:
      role term: author.
  name:
    name part: Amberti, Daniele
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2021
    copyright date: 2021
    edition: Third edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "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 service processes. This variability must be controlled to create high quality goods and services and must be reduced to improve quality. Industrial Statistics focuses on the use of statistical thinking, i.e., the appreciation of the inherent variability of all processes in order that all possible outcomes can be assessed. It also focuses on developing skills for modeling data and designing experiments that can lead to improvements in performance and reductions in variablity"--
  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.
  note: Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele Amberti.
  note: Includes bibliographical references and index.
  subject:
    title info:
      title: Minitab
  subject:
    title info:
      title: JMP (Computer file)
  subject:
    topic: Quality control
    topic: Statistical methods
  subject:
    topic: Reliability (Engineering)
    topic: Statistical methods
  subject:
    topic: R (Computer program language)
  classification: TS156 .K46 2021
  classification: 620/.00452
  related item:
    title info:
      title: Modern industrial statistics
    name:
      name part: Kenett, Ron.
    origin info:
      publisher: Hoboken, NJ : Wiley, 2021.
      edition: Third edition.
    identifier: (DLC) 2020051133
  related item:
    title info:
      title: Statistics in practice
  identifier: 9781119714941
  identifier: 111971494X
  identifier: 9781119714965
  identifier: 1119714966
  identifier: 9781119714927
  identifier: 1119714923
  identifier: 9781119714903
  identifier: 2020051134
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 201117
    record change date: 20260214201605.4
    record identifier: in00004687331
    language of cataloging:
      language term: eng