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    <title><![CDATA[Parameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow Forecasting]]></title>
    <link>https://thescipub/abstract/jmssp.2012.330.338</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 30 August 2012; <a href="https://thescipub.com/abstract/jmssp.2012.330.338">doi:10.3844/jmssp.2012.330.338</a></p>In this study the ability of Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models in forecasting the monthly inflow of Dez dam reservoir located in Teleh Za...]]></content:encoded>
    <dc:title><![CDATA[Parameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow Forecasting]]></dc:title><dc:creator>Mohammad  Valipour</dc:creator><dc:creator>Mohammad Ebrahim Banihabib</dc:creator><dc:creator>Seyyed Mahmood Reza Behbahani</dc:creator><dc:identifier>doi:10.3844/jmssp.2012.330.338</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2012-08-30; | doi:10.3844/jmssp.2012.330.338</dc:source>
    <dc:date>2012-08-30</dc:date>
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    <title><![CDATA[Negative Binomial-Lindley Distribution and Its Application]]></title>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 31 March 2010; <a href="https://thescipub.com/abstract/jmssp.2010.4.9">doi:10.3844/jmssp.2010.4.9</a></p>Problem statement: The modeling of claims count is one of the most important topics in actuarial theory and practice. Many attempts were implemented in expanding the classes of mixed and compound dist...]]></content:encoded>
    <dc:title><![CDATA[Negative Binomial-Lindley Distribution and Its Application]]></dc:title><dc:creator>Hossein  Zamani</dc:creator><dc:creator>Noriszura  Ismail</dc:creator><dc:identifier>doi:10.3844/jmssp.2010.4.9</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2010-03-31; | doi:10.3844/jmssp.2010.4.9</dc:source>
    <dc:date>2010-03-31</dc:date>
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    <title><![CDATA[Nonlinear Growth Models for Modeling Oil Palm Yield Growth]]></title>
    <link>https://thescipub/abstract/jmssp.2005.225.233</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 30 September 2005; <a href="https://thescipub.com/abstract/jmssp.2005.225.233">doi:10.3844/jmssp.2005.225.233</a></p>This study provided the basic needs of parameters estimation for nonlinear growth model such as partial derivatives of each model, determination of initial values for each parameter and statistical te...]]></content:encoded>
    <dc:title><![CDATA[Nonlinear Growth Models for Modeling Oil Palm Yield Growth]]></dc:title><dc:creator>Azme  Khamis</dc:creator><dc:creator>Zuhaimy  Ismail</dc:creator><dc:creator>khalid  Haron</dc:creator><dc:creator>Ahmad Tarmizi Mohammed</dc:creator><dc:identifier>doi:10.3844/jmssp.2005.225.233</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2005-09-30; | doi:10.3844/jmssp.2005.225.233</dc:source>
    <dc:date>2005-09-30</dc:date>
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    <prism:doi>10.3844/jmssp.2005.225.233</prism:doi>
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    <title><![CDATA[A Simple Robust Control Chart Based on MAD]]></title>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 30 June 2008; <a href="https://thescipub.com/abstract/jmssp.2008.102.107">doi:10.3844/jmssp.2008.102.107</a></p>Control charts are one of the most powerful tools used to detect aberrant behavior in industrial processes. The Shewhart S-control chart is one of the most widely used statistical process control tech...]]></content:encoded>
    <dc:title><![CDATA[A Simple Robust Control Chart Based on MAD]]></dc:title><dc:creator>Moustafa Omar Ahmed Abu-Shawiesh</dc:creator><dc:identifier>doi:10.3844/jmssp.2008.102.107</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2008-06-30; | doi:10.3844/jmssp.2008.102.107</dc:source>
    <dc:date>2008-06-30</dc:date>
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    <title><![CDATA[ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE]]></title>
    <link>https://thescipub/abstract/jmssp.2013.249.255</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 4 September 2013; <a href="https://thescipub.com/abstract/jmssp.2013.249.255">doi:10.3844/jmssp.2013.249.255</a></p>In this study we study the estimators of the population mean in adaptive cluster sampling by using the information of the auxiliary variable. The estimators in this study are the classical ratio estim...]]></content:encoded>
    <dc:title><![CDATA[ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE]]></dc:title><dc:creator>Nipaporn  Chutiman</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.249.255</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-09-04; | doi:10.3844/jmssp.2013.249.255</dc:source>
    <dc:date>2013-09-04</dc:date>
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    <prism:doi>10.3844/jmssp.2013.249.255</prism:doi>
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