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<title>Volume 9, Issue 3 (2013) | Journal of Mathematics and Statistics</title>
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    <title><![CDATA[REPRESENTING MARKOV CHAINS WITH TRANSITION DIAGRAMS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.149.154</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 17 May 2013; <a href="https://thescipub.com/jmss/jmssp.2013.149.154">doi:10.3844/jmssp.2013.149.154</a></p>Stochastic processes have many useful applications and are taught in several university programmes. Students often encounter difficulties in learning stochastic processes and Markov chains, in particu...]]></content:encoded>
    <dc:title><![CDATA[REPRESENTING MARKOV CHAINS WITH TRANSITION DIAGRAMS]]></dc:title><dc:creator>Farida  Kachapova</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.149.154</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-05-17; | doi:10.3844/jmssp.2013.149.154</dc:source>
    <dc:date>2013-05-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.149.154</prism:doi>
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    <title><![CDATA[COST-BENEFIT ANALYSIS OF A SINGLE UNIT SYSTEM WITH SCHEDULED MAINTENANCE AND VARIATION IN DEMAND]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.155.160</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 30 May 2013; <a href="https://thescipub.com/jmss/jmssp.2013.155.160">doi:10.3844/jmssp.2013.155.160</a></p>The present paper analyses the reliability and cost-benefit for a single unit system with scheduled maintenance and variation in demand. As Change in demand affects the production of system also, henc...]]></content:encoded>
    <dc:title><![CDATA[COST-BENEFIT ANALYSIS OF A SINGLE UNIT SYSTEM WITH SCHEDULED MAINTENANCE AND VARIATION IN DEMAND]]></dc:title><dc:creator>Gulshan  Taneja</dc:creator><dc:creator>Reetu  Malhotra</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.155.160</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-05-30; | doi:10.3844/jmssp.2013.155.160</dc:source>
    <dc:date>2013-05-30</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.155.160</prism:doi>
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    <title><![CDATA[SMOOTHING SPLINE IN SEMIPARAMETRIC ADDITIVE REGRESSION MODEL WITH BAYESIAN APPROACH]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.161.168</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 12 June 2013; <a href="https://thescipub.com/jmss/jmssp.2013.161.168">doi:10.3844/jmssp.2013.161.168</a></p>Semiparametric additive regression model is a combination of parametric and nonparametric regression models. The parametric components are not linear but following a polynomial pattern, while the nonp...]]></content:encoded>
    <dc:title><![CDATA[SMOOTHING SPLINE IN SEMIPARAMETRIC ADDITIVE REGRESSION MODEL WITH BAYESIAN APPROACH]]></dc:title><dc:creator>Rita  Diana</dc:creator><dc:creator>I. Nyoman Budiantara</dc:creator><dc:creator>  Purhadi</dc:creator><dc:creator>Satwiko  Darmesto</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.161.168</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-06-12; | doi:10.3844/jmssp.2013.161.168</dc:source>
    <dc:date>2013-06-12</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.161.168</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.169.174">
    <title><![CDATA[MAXIMUM LIKELIHOOD ESTIMATION FOR SPATIAL DURBIN MODEL]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.169.174</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 15 June 2013; <a href="https://thescipub.com/jmss/jmssp.2013.169.174">doi:10.3844/jmssp.2013.169.174</a></p>Spatial Durbin Model (SDM) is one method of spatial autoregressive. This model was developed because the dependencies in the spatial relationships not only occur in the dependent variable, but also on...]]></content:encoded>
    <dc:title><![CDATA[MAXIMUM LIKELIHOOD ESTIMATION FOR SPATIAL DURBIN MODEL]]></dc:title><dc:creator>Rokhana Dwi Bekti</dc:creator><dc:creator>Anita  Rahayu</dc:creator><dc:creator>  Sutikno</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.169.174</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-06-15; | doi:10.3844/jmssp.2013.169.174</dc:source>
    <dc:date>2013-06-15</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.169.174</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.175.179">
    <title><![CDATA[NEW APPROACH TO SOLVE HYBRID FUZZY DIFFERENTIAL EQUATION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.175.179</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 1 July 2013; <a href="https://thescipub.com/jmss/jmssp.2013.175.179">doi:10.3844/jmssp.2013.175.179</a></p>This study presents solution for the first order hybrid fuzzy differential equation by Runge-Kutta method of order two with new parameters and Harmonic mean of ki’s which are used in the main formul...]]></content:encoded>
    <dc:title><![CDATA[NEW APPROACH TO SOLVE HYBRID FUZZY DIFFERENTIAL EQUATION]]></dc:title><dc:creator>Saveetha  Natesan</dc:creator><dc:creator>Nirmala  Venkatachalem</dc:creator><dc:creator>S. Chenthur Pandian</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.175.179</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-07-01; | doi:10.3844/jmssp.2013.175.179</dc:source>
    <dc:date>2013-07-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.175.179</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.175.179</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.180.185">
    <title><![CDATA[FUZZY TOPOLOGICAL DIGITAL SPACE OF FLAT ELECTROENCEPHALOGRAPHY DURING EPILEPTIC SEIZURES]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.180.185</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 5 July 2013; <a href="https://thescipub.com/jmss/jmssp.2013.180.185">doi:10.3844/jmssp.2013.180.185</a></p>Epileptic seizures are manifestations of epilepsy caused a temporary electrical disturbance in a group of brain cells. Electroencephalography (EEG) is a recording of electrical activity of the brain a...]]></content:encoded>
    <dc:title><![CDATA[FUZZY TOPOLOGICAL DIGITAL SPACE OF FLAT ELECTROENCEPHALOGRAPHY DURING EPILEPTIC SEIZURES]]></dc:title><dc:creator>Muhammad  Abdy</dc:creator><dc:creator>Tahir  Ahmad</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.180.185</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-07-05; | doi:10.3844/jmssp.2013.180.185</dc:source>
    <dc:date>2013-07-05</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.180.185</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.180.185</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.186.192">
    <title><![CDATA[ESTIMATION OF CLAIM COST  DATA USING ZERO ADJUSTED GAMMA  AND INVERSE GAUSSIAN REGRESSION MODELS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.186.192</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 11 July 2013; <a href="https://thescipub.com/jmss/jmssp.2013.186.192">doi:10.3844/jmssp.2013.186.192</a></p>In actuarial and insurance literatures, several researchers suggested generalized linear regression models (GLM) for modeling claim costs as a function of risk factors. The modeling of claim costs inv...]]></content:encoded>
    <dc:title><![CDATA[ESTIMATION OF CLAIM COST  DATA USING ZERO ADJUSTED GAMMA  AND INVERSE GAUSSIAN REGRESSION MODELS]]></dc:title><dc:creator>Yulia  Resti</dc:creator><dc:creator>Noriszura  Ismail</dc:creator><dc:creator>Saiful Hafizah Jamaan</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.186.192</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-07-11; | doi:10.3844/jmssp.2013.186.192</dc:source>
    <dc:date>2013-07-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.186.192</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.186.192</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.193.197">
    <title><![CDATA[A COMPARISON BETWEEN CLASSICAL AND ROBUST METHOD IN A FACTORIAL DESIGN IN THE PRESENCE OF OUTLIER]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.193.197</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 11 July 2013; <a href="https://thescipub.com/jmss/jmssp.2013.193.197">doi:10.3844/jmssp.2013.193.197</a></p>Analysis of Variance (ANOVA) techniques which is based on classical Least Squares (LS) method requires several assumptions, such as normality, constant variances and independency. Those assumptions ca...]]></content:encoded>
    <dc:title><![CDATA[A COMPARISON BETWEEN CLASSICAL AND ROBUST METHOD IN A FACTORIAL DESIGN IN THE PRESENCE OF OUTLIER]]></dc:title><dc:creator>Anwar  Fitrianto</dc:creator><dc:creator>Habshah  Midi</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.193.197</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-07-11; | doi:10.3844/jmssp.2013.193.197</dc:source>
    <dc:date>2013-07-11</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.193.197</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.193.197</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.198.207">
    <title><![CDATA[ECONOMIC AND PERFORMANCE EVALUATION OF STOCHASTIC MODEL ON A BASE TRANSCEIVER SYSTEM CONSIDERING VARIOUS OPERATIONAL MODES AND CATASTROPHIC FAILURES]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.198.207</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 22 July 2013; <a href="https://thescipub.com/jmss/jmssp.2013.198.207">doi:10.3844/jmssp.2013.198.207</a></p>In this study a stochastic model for a Base Transceiver System (BTS) is proposed that consists of various hardware and software components. A Base Transceiver System (BTS) may undergoes four modes dur...]]></content:encoded>
    <dc:title><![CDATA[ECONOMIC AND PERFORMANCE EVALUATION OF STOCHASTIC MODEL ON A BASE TRANSCEIVER SYSTEM CONSIDERING VARIOUS OPERATIONAL MODES AND CATASTROPHIC FAILURES]]></dc:title><dc:creator>Rajeev  Kumar</dc:creator><dc:creator>Sunny  Kapoor</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.198.207</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-07-22; | doi:10.3844/jmssp.2013.198.207</dc:source>
    <dc:date>2013-07-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.198.207</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.198.207</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.208.218">
    <title><![CDATA[A NOVEL MULTICLASS SUPPORT VECTOR MACHINE ALGORITHM USING MEAN REVERSION AND COEFFICIENT OF VARIANCE]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.208.218</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 31 July 2013; <a href="https://thescipub.com/jmss/jmssp.2013.208.218">doi:10.3844/jmssp.2013.208.218</a></p>Inaccuracy of a kernel function used in Support Vector Machine (SVM) can be found when simulated with nonlinear and stationary datasets. To minimise the error, we propose a new multiclass SVM model us...]]></content:encoded>
    <dc:title><![CDATA[A NOVEL MULTICLASS SUPPORT VECTOR MACHINE ALGORITHM USING MEAN REVERSION AND COEFFICIENT OF VARIANCE]]></dc:title><dc:creator>Bhusana  Premanode</dc:creator><dc:creator>Jumlong  Vongprasert</dc:creator><dc:creator>Nop  Sopipan</dc:creator><dc:creator>Christofer  Toumazou</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.208.218</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-07-31; | doi:10.3844/jmssp.2013.208.218</dc:source>
    <dc:date>2013-07-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.208.218</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.208.218</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.219.237">
    <title><![CDATA[A STUDY OF FIRST YEAR TERTIARY STUDENTS’ MATHEMATICAL KNOWLEDGE- CONCEPTUAL AND PROCEDURAL KNOWLEDGE, LOGICAL THINKING AND CREATIVITY]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.219.237</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 1 August 2013; <a href="https://thescipub.com/jmss/jmssp.2013.219.237">doi:10.3844/jmssp.2013.219.237</a></p>This study focuses on students in first year environmental science degree programs where traditionally mathematical emphasis has been much less than the strict science or math majors. The importance n...]]></content:encoded>
    <dc:title><![CDATA[A STUDY OF FIRST YEAR TERTIARY STUDENTS’ MATHEMATICAL KNOWLEDGE- CONCEPTUAL AND PROCEDURAL KNOWLEDGE, LOGICAL THINKING AND CREATIVITY]]></dc:title><dc:creator>Gurudeo Anand Tularam</dc:creator><dc:creator>Kees  Hulsman</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.219.237</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-08-01; | doi:10.3844/jmssp.2013.219.237</dc:source>
    <dc:date>2013-08-01</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.219.237</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.219.237</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.238.248">
    <title><![CDATA[ON SELF-INVERSE BINARY MATRICES OVER THE BINARY GALOIS FIELD]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.238.248</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 4 September 2013; <a href="https://thescipub.com/jmss/jmssp.2013.238.248">doi:10.3844/jmssp.2013.238.248</a></p>An important class of square binary matrices over the simplest finite or Galois Field GF(2) is the class of involutory or Self-Inverse (SI) matrices. These matrices are of significant utility in promi...]]></content:encoded>
    <dc:title><![CDATA[ON SELF-INVERSE BINARY MATRICES OVER THE BINARY GALOIS FIELD]]></dc:title><dc:creator>Ali Muhammad Ali Rushdi</dc:creator><dc:creator>Fares Ahmad Muhammad Ghaleb</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.238.248</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-09-04; | doi:10.3844/jmssp.2013.238.248</dc:source>
    <dc:date>2013-09-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.238.248</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.238.248</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.249.255">
    <title><![CDATA[ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.249.255</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 4 September 2013; <a href="https://thescipub.com/jmss/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>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.249.255</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.249.255</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.256.261">
    <title><![CDATA[SOLITARY WAVE MODULATION IN AN ARTERY WITH STENOSIS FILLED WITH A VISCOUS FLUID]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.256.261</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 4 September 2013; <a href="https://thescipub.com/jmss/jmssp.2013.256.261">doi:10.3844/jmssp.2013.256.261</a></p>In this study, the derivation of mathematical model for the wave modulation through an incompressible viscous fluid contained in a prestressed thin stenosed elastic tube is presented. The artery is as...]]></content:encoded>
    <dc:title><![CDATA[SOLITARY WAVE MODULATION IN AN ARTERY WITH STENOSIS FILLED WITH A VISCOUS FLUID]]></dc:title><dc:creator>Yaan Yee Choy</dc:creator><dc:creator>Kim Gaik Tay</dc:creator><dc:creator>Chee Tiong Ong</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.256.261</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-09-04; | doi:10.3844/jmssp.2013.256.261</dc:source>
    <dc:date>2013-09-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.256.261</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.256.261</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2013.262.276">
    <title><![CDATA[ON REDUCED SCALAR EQUATIONS FOR SYNCHRONOUS BOOLEAN NETWORKS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2013.262.276</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 10 September 2013; <a href="https://thescipub.com/jmss/jmssp.2013.262.276">doi:10.3844/jmssp.2013.262.276</a></p>A total description of a synchronous Boolean network is typically achieved by a matrix recurrence relation. A simpler alternative is to use a scalar equation which is a possibly nonlinear equation tha...]]></content:encoded>
    <dc:title><![CDATA[ON REDUCED SCALAR EQUATIONS FOR SYNCHRONOUS BOOLEAN NETWORKS]]></dc:title><dc:creator>Ali Muhammad Ali Rushdi</dc:creator><dc:creator>Adnan Ahmad Alsogati</dc:creator><dc:identifier>doi:10.3844/jmssp.2013.262.276</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2013-09-10; | doi:10.3844/jmssp.2013.262.276</dc:source>
    <dc:date>2013-09-10</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2013.262.276</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2013.262.276</prism:url>
    </item></rdf:RDF>