<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/">
  <channel>
    <title>EconStor Collection: Journal of Statistical and Econometric Methods</title>
    <link>http://hdl.handle.net/10419/58000</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li resource="http://hdl.handle.net/10419/58016" />
        <rdf:li resource="http://hdl.handle.net/10419/58015" />
        <rdf:li resource="http://hdl.handle.net/10419/58014" />
        <rdf:li resource="http://hdl.handle.net/10419/58013" />
      </rdf:Seq>
    </items>
  </channel>
  <textInput>
    <title>The Collection's search engine</title>
    <description>Search the Channel</description>
    <name>search</name>
    <link>http://www.econstor.eu/simple-search</link>
  </textInput>
  <item rdf:about="http://hdl.handle.net/10419/58016">
    <title>Estimation of parameters in weighted generalized beta distributions of the second kind</title>
    <link>http://hdl.handle.net/10419/58016</link>
    <description>Title: Estimation of parameters in weighted generalized beta distributions of the second kind
&lt;br/&gt;
&lt;br/&gt;Authors: Ye, Yuan; Oluyede, Broderick O.; Pararai, Mavis
&lt;br/&gt;
&lt;br/&gt;Abstract: This paper applies the class of weighted generalized beta distribution of the second kind (WGB2) as descriptive models for size distribution of income. The properties of WGB2 including mean, variance, coefficient of variation(CV), coefficient of skewness(CS), coefficient of kurtosis(CK) are presented. Other properties including top-sensitive index, bottom-sensitive index, mean logarithmic deviation(MLD) index and Theil index obtained from generalized entropy(GE) are applied in this paper. WGB2 proved to be in the generalized beta-F family of distributions, and maximum likelihood estimation(MLE) is used to obtain the parameter estimates. WGB2 is fitted to U.S. family income (2001-2009) data with different values of the parameters. The empirical results show the length-biased distribution provides the best relative fit.</description>
  </item>
  <item rdf:about="http://hdl.handle.net/10419/58015">
    <title>An application of control charts in manufacturing industry</title>
    <link>http://hdl.handle.net/10419/58015</link>
    <description>Title: An application of control charts in manufacturing industry
&lt;br/&gt;
&lt;br/&gt;Authors: Riaz, Muhammad; Muhammad, Faqir
&lt;br/&gt;
&lt;br/&gt;Abstract: The range control chart and the X bar control chart are the well known and the most popular tools for detecting out- of-control signals in the Statistical Quality Control (SQC). The control charts has shown his worth in the manufacturing industry. In this study we have applied the range and the X bar control charts to a product of Swat Pharmaceutical Company. The variables under study were weight/ml, Ph, Citrate % and the amount of fill. Besides the X bar control chart, the exponentially weighted moving average control chart and the multivariate Hotelling's T2 control chart were applied to the same data.</description>
  </item>
  <item rdf:about="http://hdl.handle.net/10419/58014">
    <title>Weighted generalized beta distribution of the second kind and related distributions</title>
    <link>http://hdl.handle.net/10419/58014</link>
    <description>Title: Weighted generalized beta distribution of the second kind and related distributions
&lt;br/&gt;
&lt;br/&gt;Authors: Ye, Yuan; Oluyede, Broderick O.; Pararai, Mavis
&lt;br/&gt;
&lt;br/&gt;Abstract: In this paper, a new class of weighted generalized beta distribution of the second kind (WGB2) is presented. The construction makes use of the conservability approach which includes the size or length-biased distribution as a special case. The class of WGB2 is used as descriptive models for the distribution of income. The results that are presented generalizes the generalized beta distribution of second kind (GB2). The properties of these distributions including behavior of hazard functions, moments, variance, coefficients of variation, skewness and kurtosis are obtained. The moments of other weighted distributions that are related to WGB2 are obtained. Other important properties including entropy (generalized and beta) which are measures of the uncertainty in this class of distributions are derived and studied.</description>
  </item>
  <item rdf:about="http://hdl.handle.net/10419/58013">
    <title>Reliability modelling for wear out failure period of a single unit system</title>
    <link>http://hdl.handle.net/10419/58013</link>
    <description>Title: Reliability modelling for wear out failure period of a single unit system
&lt;br/&gt;
&lt;br/&gt;Authors: Arekar, Kirti; Ailawadi, Satish; Jain, Rinku
&lt;br/&gt;
&lt;br/&gt;Abstract: The present paper deals with two time-shifted density models for wear out failure period of a single unit system. The study, considered the time-shifted Gamma and Normal distributions. Wear out failures occur as a result of deterioration processes or mechanical wear and its probability of occurrence increases with time. A failure rate as a function of time deceases in an early failure period and it increases in wear out period. Failure rates for time shifted distributions and expression for mean time to system are also obtained. Finally, the graphically representation of all the measures of reliability are shown. So we can say from the study that in the wear out period the reliability of the system increases and failure rates of the system decreases.</description>
  </item>
</rdf:RDF>

