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: End to end data analytics for product development
    sub title: a practical guide for fast consumer goods companies, chemical industry and processing tools manufacturers
  name:
    name part: Salmaso, Luigi
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: De Dominicis, Mattia
    role:
      role term: author.
  name:
    name part: Arboretti, Rosa
    role:
      role term: author.
  name:
    name part: Jones, Chris (Christopher Lloyd)
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: nju
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Statistical Toolbox for Industrial Applications and Product Development aims to be a reference for practitioners in statistics with an interactive and involving way of exposing contents by making use of both written material and practical examples with specific target on industrial applications. The book will be focussed on Design of Experiments (DoE) targeted for broad industrial applications, but it will cover also basic statistical concepts useful to introduce DoE. It is intended to especially support product innovation and development across fast consumer and pharmaceutical companies in order to improve quality and speed of implementation through data analytics, statistical design and data prediction. The book will promote the use of statistical tools to solve challenges faced during product innovation and feasibility where today is rarely applied. It will also include the following: Innovation feasibility, to formulation and process development; Data correlation between technical lab experiments and consumers feedbacks; Stability studies which are common especially in chemical or pharmaceutical industries ; Regression models. Each chapter will be composed by a first subsection dedicated to the description of an application problem; a second subsection about the description of the statistical solution from the methodological point of view; a third subsection about the use of Minitab for the specific problem under study; a fourth section about other examples and exercises. Each chapter is accompanied by a companion webiste which contains videos summarizing main concepts and application using MINITAB software. In addition, each chapter is accompanied by a link to a quiz session which will guide the reader through a quick revision of his/her understanding of the chapter"--
  table of contents: Basic statistical background -- The screening phase -- Product development and optimization -- Other topics in product development and optimization -- Product validation -- Consumer voice.
  note: Luigi Salmaso, Mattia De Dominicis, Rosa Arboretti Giancristofaro, Chris Jones.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references and index.
  subject:
    topic: New products
    topic: Management
    topic: Statistical methods
  subject:
    topic: Experimental design
  related item:
    title info:
      title: End to end data analytics for product development
    name:
      name part: Salmaso, Luigi.
    origin info:
      publisher: Hoboken, NJ : Wiley, 2020
    identifier: (DLC) 2019045165
  identifier: 9781119483724
  identifier: 1119483727
  identifier: 1119483700
  identifier: 9781119483717
  identifier: 1119483719
  identifier: 9781119483700
  identifier: 9781119483694
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: DLC
    record creation date: 200127
    record change date: 20240717213016.0
    record identifier: kn-on1141502045
    language of cataloging:
      language term: eng