KONTROLA KVALITETA PRAĆENJEM CENTRALNE TENDENCIJE NEGAUSOVIH SLUČAJNIH VELIČINA

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KONTROLA KVALITETA PRAĆENJEM CENTRALNE TENDENCIJE NEGAUSOVIH SLUČAJNIH VELIČINA

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dc.contributor.advisor Mladenović, Pavle
dc.contributor.author Veljković, Kristina
dc.date.accessioned 2017-04-03T14:56:50Z
dc.date.available 2017-04-03T14:56:50Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/4449
dc.description.abstract Design of control chart for monitoring central tendency of nongaussian random variables with symmetric or positively skewed distributions is considered. In the case of nongaussian symmetric distributions, modified X bar control chart is proposed in this dissertation. For chosen Student, Laplace, logistic and uniform distributions, theoretical distribution of the standardized sample mean is calculated and approximated with Pearson type II or Pearson type VII distributions. Width of control limits and power of X bar control chart are established, for a given probability of type I error. The results imply that the corresponding Pearson distribution represents very good approximation of the distribution of the standardized sample mean. For implementation of X bar control chart in practice, measures of sample kurtosis are compared and the usage of proposed chart is illustrated on given data. In the case of positively skewed distributions, one sided median control chart for monitoring central tendency of quality characteristics is proposed in this dissertation. For chosen exponential, gamma and Weibull distributions, theoretical distribution of sample median is calculated and approximated with Pearson type I or Pearson type VI distributions. Calculated values of upper control limits and power of median control chart for theoretical distribution of sample median and corresponding Pearson distribution are very close. For implementation of median control chart in practice, measures of sample skewness and sample kurtosis are compared and then proposed median chart is constructed for given data. Besides the statistical design of control charts for monitoring central tendency of nongaussian random variables, their optimal economic statistical design is also considered. Use of genetic algorithms for constrained minimization of expected loss function is proposed in this dissertation. Same symmetric distributions as in the case of statistical design of the X bar control chart and positively skewed distributions as in the case of statistical design of median control chart are chosen. For all chosen distributions of quality characteristic, a corresponding Pearson distribution gives results very close to results based on the theoretical distribution of the standardized sample mean (sample median). en_US
dc.description.provenance Submitted by Slavisha Milisavljevic (slavisha) on 2017-04-03T14:56:50Z No. of bitstreams: 1 Kristinateza.pdf: 2651356 bytes, checksum: e3280d97e2da621072e3b0523b7fe38f (MD5) en
dc.description.provenance Made available in DSpace on 2017-04-03T14:56:50Z (GMT). No. of bitstreams: 1 Kristinateza.pdf: 2651356 bytes, checksum: e3280d97e2da621072e3b0523b7fe38f (MD5) Previous issue date: 2016 en
dc.language.iso sr en_US
dc.publisher Beograd en_US
dc.title KONTROLA KVALITETA PRAĆENJEM CENTRALNE TENDENCIJE NEGAUSOVIH SLUČAJNIH VELIČINA en_US
mf.author.birth-date 1981-03-10
mf.author.birth-place Pančevo en_US
mf.author.birth-country Srbija en_US
mf.author.residence-state Srbija en_US
mf.author.citizenship Srpsko en_US
mf.author.nationality Srpkinja en_US
mf.subject.area Mathematics en_US
mf.subject.keywords X bar control chart, median control chart, symmetric distribution, positively skewed distribution, Pearson distribution, economic statistical design, sample skewness, sample kurtosis en_US
mf.subject.subarea Probability and Statistics en_US
mf.contributor.committee Janković, Slobodanka
mf.contributor.committee Jevremović, Vesna
mf.university.faculty Mathematical Faculty en_US
mf.document.references 61 en_US
mf.document.pages 95 en_US
mf.document.location Beograd en_US
mf.document.genealogy-project No en_US
mf.university Belgrade University en_US

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