<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>10437</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>190</pageNumber>
    <edition>1. Auflage</edition>
    <issue/>
    <volume/>
    <type>book</type>
    <publisherName>Hanser</publisherName>
    <publisherPlace>München [u.a.]</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-03-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Statistische Methoden der Qualitätssicherung : Praktische Anwendung mit Minitab und JMP</title>
    <abstract language="deu">Das vorliegende Buch verfolgt das Ziel, dem Leser moderne Verfahren der Qualitätssicherung auf Basis einer soliden Darstellung statistischer Grundlagen nahezubringen. Das Buch ist gleichermaßen für Studierende an Hochschulen oder Universitäten und Praktiker geeignet, die sich tagtäglich in ihrer betrieblichen Praxis mit Qualitätsfragen befassen. Die Inhalte des Buches beruhen auf der langjährigen Lehr¬ und Consultingtätigkeit der Autoren auf den Gebieten Statistik, Qualitätssicherung, Zuverlässigkeitsanalyse, statistische Versuchsplanung und Six Sigma an Hochschulen und in der Wirtschaft.&#13;
Besonderer Wert wird auf die Vermittlung moderner Verfahren gelegt, die einerseits eine hohe Praxisrelevanz aufweisen, andererseits aber oftmals nur unter Verwendung entsprechender Software-Tools umsetzbar sind. Für die Berechnung der Buchbeispiele wurden Minitab 16 und JMP 9 verwendet. Dies sind führende und weit verbreitete Software-Pakete für statistische Anwendungen, insbesondere im Zusammenhang mit Qualitätsthemen. Sämtliche Datensätze der Berechnungsbeispiele sind für den Leser im Internet verfügbar, sodass man alles selbst nachvollziehen kann.</abstract>
    <identifier type="isbn">978-3-446-43217-8</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Qualitätssicherung,  Statistik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Statistiksoftware, Minitab, JMP</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>10439</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>237</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>book</type>
    <publisherName>Shaker</publisherName>
    <publisherPlace>Aachen</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-03-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Grundlagen der Ingenieurmathematik im Bachelorstudium</title>
    <abstract language="deu">Mit dem Buch werden die üblichen Inhalte eines zweisemestrigen Ingenieurmathematik-Kurses vermittelt.</abstract>
    <identifier type="isbn">978-3-8440-1077-0</identifier>
    <enrichment key="BTU">nicht an der BTU erstellt / not created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Mathematik, Ingenieurmathematik</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>10448</id>
    <completedYear/>
    <publishedYear>2009</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>349</pageFirst>
    <pageLast>375</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Ulmer Verlag</publisherName>
    <publisherPlace>Stuttgart</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-03-20</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Methodischer Vergleich geostatistischer Schätzverfahren für Indikationsparameter</title>
    <abstract language="deu">Es werden verschiedene geostatistische Schätz- und Simulationsverfahren vorgestellt und zur Vorhersage von Bodenparametern eingesetzt.</abstract>
    <parentTitle language="deu">Entwicklung von Indikationssystemen am Beispiel der Elbaue</parentTitle>
    <identifier type="isbn">978-3-8001-4427-3</identifier>
    <enrichment key="BTU">nicht an der BTU erstellt / not created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <editor>
      <firstName>Mathias</firstName>
      <lastName>Scholz</lastName>
    </editor>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <editor>
      <firstName>Klaus</firstName>
      <lastName>Henle</lastName>
    </editor>
    <author>
      <firstName>Jörg</firstName>
      <lastName>Rinklebe</lastName>
    </author>
    <editor>
      <firstName>Frank</firstName>
      <lastName>Dziock</lastName>
    </editor>
    <author>
      <firstName>Joachim</firstName>
      <lastName>Menz</lastName>
    </author>
    <editor>
      <firstName>Sabine</firstName>
      <lastName>Stab</lastName>
    </editor>
    <editor>
      <firstName>Francis</firstName>
      <lastName>Foeckler</lastName>
    </editor>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Geostatistik, Simulation, Kriging</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>11553</id>
    <completedYear/>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>European Network for Business and Industrial Statistics</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-07-09</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Failure Time Point Distributions considering nonhomogenous effects and interaction</title>
    <abstract language="eng">We discuss failure time point processes with respect to maintenance and reliability of technical components or machines (failure-repair models).&#13;
For a given sequence of failure time points we assume that the corresponding counting process can be described as a nonhomogenous Poisson process.&#13;
Our approach is based on nonstationary intensity functions depending on the starting time of the corresponding machine. In the talk we present two different approaches:&#13;
an intensity function based on the lognormal distribution and a monotonously decreasing intensity function based on the exponential function.&#13;
For practical applications in manufacturing plants cluster processes based on several machines and their corresponding failure time points are discussed. Especially, we present an approach using fuzzy measures to model interaction among the machines. For example, let I be a time period. Obviously, we are interested in the total number of failures of all considered machines during this period. The fuzzy measure approach enables considering interaction effects like synergy and suppression: Failures of a certain machine may cause an increasing probability of another machine to fail. On the other hand a higher number of failures of one machine can lead to less failures of other machines.</abstract>
    <parentTitle language="eng">ENBIS 11, Coimbra, Portugal 4 – 8 September 2011</parentTitle>
    <identifier type="url">http://www.enbis.org/activities/events/current/96_ENBIS_11_Coimbra/programmeitem/963_Failure_Time_Point_Distributions_considering_nonhomogenous_effects_and_interaction</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>point process, reliability, interaction</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>11718</id>
    <completedYear/>
    <publishedYear>2008</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>275</pageFirst>
    <pageLast>295</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>54</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-09-25</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Estimation of soil properties with geostatistical methods in floodplains</title>
    <parentTitle language="eng">Archives of Agronomy and Soil Science</parentTitle>
    <identifier type="issn">1476-3567</identifier>
    <enrichment key="BTU">nicht an der BTU erstellt / not created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <author>
      <firstName>Jörg</firstName>
      <lastName>Rinklebe</lastName>
    </author>
    <author>
      <firstName>Joachim</firstName>
      <lastName>Menz</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>geostatistics, kriging, simulation, wetland soils, soil mapping</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>11610</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>160</pageFirst>
    <pageLast>161</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Universitätsbibliothek Kassel</publisherName>
    <publisherPlace>Kassel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-07-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Wie viele und welche Mathematik braucht ein Ingenieur?</title>
    <abstract language="deu">Speziell in der Mathematik-Ausbildung von Studenten der Ingenieurfachrichtungen sollte großer Wert auf die Praxisbezogenheit und auf das Grundlagenfundament gelegt werden Diese beide Ziele werden nicht selten als widersprüchlich angesehen. Die Qualität der Ausbildung von Studenten kann durch eine kontinuierliche Verbesserung zum Auffinden einer optimalen Aufteilung dieser beiden Ziele erreicht werden. In diesem Report werden einige Konzepte der Gestaltung von Mathematik-Auffrischungskursen sowie Mathematik-Lehrveranstaltungen für Studienanfänger an der Hochschule Lausitz vorgestellt.</abstract>
    <parentTitle language="deu">Mathematik im Übergang Schule, Hochschule und im ersten Studienjahr, extended Abstracts zur 2. khdm-Arbeitstagung, 20.02. - 23.02.2013</parentTitle>
    <identifier type="url">https://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2012050741193</identifier>
    <enrichment key="UBICOseries">Khdm-Report ; 13-01</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <editor>
      <firstName>Axel</firstName>
      <lastName>Hoppenbrock</lastName>
    </editor>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <editor>
      <firstName>Stephan</firstName>
      <lastName>Schreiber</lastName>
    </editor>
    <editor>
      <firstName>Robin</firstName>
      <lastName>Göller</lastName>
    </editor>
    <editor>
      <firstName>Rolf</firstName>
      <lastName>Biehler</lastName>
    </editor>
    <editor>
      <firstName>Bernd</firstName>
      <lastName>Büchler</lastName>
    </editor>
    <editor>
      <firstName>Reinhard</firstName>
      <lastName>Hochmuth</lastName>
    </editor>
    <editor>
      <firstName>Hans-Georg</firstName>
      <lastName>Rück</lastName>
    </editor>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Mathematikdidaktik, Studienanfänger</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>13253</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ENBIS</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2015-01-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Quality Indices based on Choquet Integrals</title>
    <abstract language="eng">The most often used operator to aggregate criteria in decision making problems is the classical weighted arithmetic mean. In many problems however, the criteria considered interact, and a substitute to the weighted arithmetic mean has to be adopted. In this talk we want to transfer methods from decision making theory to defining quality indices.&#13;
Even quality indices are often based on the aggregation of indices with respect to sub criteria, e.g. an index is obtained as arithmetic mean of sub indices.&#13;
In our talk we focus on quality indices in supplier management. Obviously, supplier management is a central part of any quality management system. Especially in the context of outsourcing or lean production assessments of suppliers are of great importance. &#13;
The final assessment of a supplier – maybe supplier A, supplier B and supplier C- is based on a weighted aggregation of such criteria like qualification level of employees, indices for product quality, financial indices, delivery based indices (e.g, adherence to delivery dates), etc.&#13;
From a mathematical and logical point of view simple aggregation ignores effects like necessity of fulfillment of criteria and interaction among criteria (redundancy, synergy).&#13;
Therefore, we present in this talk a general approach for aggregating sub criteria based on the so called Choquet integral, which is defined by a corresponding fuzzy measure modelling interaction effects. We introduce the Choquet integral as a general tool for dealing with multiple criteria decision making. After a theoretical exposition giving the fundamental basis with respect to fuzzy measures practical problems corresponding to the assessment of suppliers are addressed. In particular the problem of determining useful and suitable fuzzy measures is discussed.&#13;
We close our talk with a case study from supplier management.</abstract>
    <parentTitle language="eng">ENBIS-14, Linz, Österreich 2014</parentTitle>
    <identifier type="doi">10.13140/2.1.3438.8803</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quality index, Interaction, Supplier management, Choquet integral, Fuzzy measure</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>14553</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>415</pageFirst>
    <pageLast>428</pageLast>
    <pageNumber/>
    <edition>1. Auflage</edition>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Shaker</publisherName>
    <publisherPlace>Aachen</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2015-08-31</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Six Sigma-Ausbildung mit JMP</title>
    <abstract language="deu">Im Beitrag wird ein Six Sigma-Ausbildungskonzept vorgestellt, das auf der Vermittlung und Anwendung statistischer Methoden mittels SAS-JMP basiert.</abstract>
    <parentTitle language="deu">Proceedings der 19. Konferenz der SAS-Anwender in Forschung und Entwicklung (KFSE), KSFE 2015, Hannover, 2015</parentTitle>
    <identifier type="isbn">978-3-8440-3777-7</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <editor>
      <firstName>Armin</firstName>
      <lastName>Koch</lastName>
    </editor>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <editor>
      <firstName>Ralf</firstName>
      <lastName>Minkenberg</lastName>
    </editor>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Six Sigma, SAS, JMP</value>
    </subject>
    <collection role="old_institute" number="05024">Prof. Qualitätssicherung und quantitative Methoden</collection>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>15388</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>236</pageNumber>
    <edition>1. Auflage</edition>
    <issue/>
    <volume/>
    <type>book</type>
    <publisherName>Epubli</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2016-04-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Übungsbuch zur Angewandten Mathematik für Ingenieure</title>
    <abstract language="deu">Übungsbuch zur Angewandten Mathematik für Ingenieure mit über zweihundert ausführlich gelösten Aufgaben sowie einer Musterklausur. Die Inhalte umfassen die Bereiche Differentialgleichungen, Laplace-Transformationen, Vektor- und Skalarfelder, Kurven- und Oberflächenintegrale sowie Numerische Verfahren zur Nullstellenberechnung, Integration, Interpolation und zum Lösen von Differentialgleichungen.</abstract>
    <identifier type="isbn">978-3-7375-6917-0</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Differentialgleichungen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Laplace-Transformationen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Vektor- und Skalarfelder</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Kurven- und Oberflächenintegrale</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Numerische Verfahren</value>
    </subject>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
  <doc>
    <id>17410</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>S. 55</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>University of Palermo</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2016-10-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Measuring the accordance of color shades based on the intersection volume of confidence ellipsoids</title>
    <abstract language="eng">In many applications the colors of products and parts have to match with respect to defined color parameters or dimensions. Obviously, parts painted in a plant should not be distinguished from parts of the same color painted in another part. Therefore, a measure for the accordance of color shades is needed. Of course, a useful representation for color shades is necessary. The Lab representation provides a common approach for defining colors. It is based on three parameters L, a and b. L represents lightness , a and b stand for the color-opponent dimensions, based on nonlinearly compressed coordinates. For measuring accordance we need two samples with measured color dimensions, where each sample represents a certain producing or painting process. Now, variation within each sample can be represented by the three-dimensional confidence ellipsoid,&#13;
especially by the volume of this ellipsoid. Obviously, if the ellipsoids of both samples overlap completely, no differences are recognized, at least from a statistial point of view. For determining a measure of accordance we calculate the volume of the intersection of the two&#13;
ellipsoids. Its percentage share of the sum of the volumes of the two ellipsoids defines the measure of accordance.&#13;
From a mathematical point of view it is not trivial to calculate this volume of the intersection. But Monte Carlo integration provides a quite simple method with sufficient accuracy. In our talk we want to present a tool realized in SAS-JMP.</abstract>
    <parentTitle language="eng">International Conference on the Interface between Statistics and Engineering (ICISE 2016), Palermo, 20.-22.6.2016</parentTitle>
    <identifier type="url">http://www.cityu.edu.hk/seem/icise2016/form/ICISE-2016-Program-Book.pdf</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </author>
    <submitter>
      <firstName>Konrad</firstName>
      <lastName>Wälder</lastName>
    </submitter>
    <author>
      <firstName>Olga</firstName>
      <lastName>Wälder</lastName>
    </author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Statistik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Konfidenzellipsoid</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Farbdarstellung</value>
    </subject>
    <collection role="institutes" number="3304">FG Qualitätssicherung und quantitative Methoden</collection>
  </doc>
</export-example>
