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<title>Volume 10, Issue 2 (2014) | Journal of Mathematics and Statistics</title>
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    <title><![CDATA[EMPIRICAL LIKELIHOOD ESTIMATION BASED ON SIMULATED MOMENT CONDITIONS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.111.116</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 17 February 2014; <a href="https://thescipub.com/jmss/jmssp.2014.111.116">doi:10.3844/jmssp.2014.111.116</a></p>In this study we discuss the optimization of the Empirical Likelihood (EL) criterion function when the moment condition is nonstandard. We deal with this issue following the Method of Simulated Moment...]]></content:encoded>
    <dc:title><![CDATA[EMPIRICAL LIKELIHOOD ESTIMATION BASED ON SIMULATED MOMENT CONDITIONS]]></dc:title><dc:creator>Xing  Wang</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.111.116</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-02-17; | doi:10.3844/jmssp.2014.111.116</dc:source>
    <dc:date>2014-02-17</dc:date>
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    <title><![CDATA[UNSTEADY BOUNDARY LAYER FLOW ALONG A STRETCHING CYLINDER AN ANALYTICAL SOLUTION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.117.124</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 17 February 2014; <a href="https://thescipub.com/jmss/jmssp.2014.117.124">doi:10.3844/jmssp.2014.117.124</a></p>The axisymetric laminar boundary layer unsteady flow along a continuously stretching cylinder immersed in a viscous and incompressible fluid is studied. The governing partial boundary layer equations ...]]></content:encoded>
    <dc:title><![CDATA[UNSTEADY BOUNDARY LAYER FLOW ALONG A STRETCHING CYLINDER AN ANALYTICAL SOLUTION]]></dc:title><dc:creator>M. Y. Akl</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.117.124</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-02-17; | doi:10.3844/jmssp.2014.117.124</dc:source>
    <dc:date>2014-02-17</dc:date>
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    <prism:doi>10.3844/jmssp.2014.117.124</prism:doi>
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    <title><![CDATA[THE EFFICIENCY OF EMPIRICAL LIKELIHOOD WITH NUISANCE PARAMETERS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.125.129</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 17 February 2014; <a href="https://thescipub.com/jmss/jmssp.2014.125.129">doi:10.3844/jmssp.2014.125.129</a></p>In this study we check the asymptotic efficiency of empirical likelihood in the presence of nuisance parameters combined with augmented moment conditions. We show that in the presence of nuisance para...]]></content:encoded>
    <dc:title><![CDATA[THE EFFICIENCY OF EMPIRICAL LIKELIHOOD WITH NUISANCE PARAMETERS]]></dc:title><dc:creator>Xing  Wang</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.125.129</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-02-17; | doi:10.3844/jmssp.2014.125.129</dc:source>
    <dc:date>2014-02-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.125.129</prism:doi>
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    <title><![CDATA[MAPPING OF ILLITERACY AND INFORMATION AND COMMUNICATION TECHNOLOGY INDICATORS USING GEOGRAPHICALLY WEIGHTED REGRESSION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.130.138</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 21 February 2014; <a href="https://thescipub.com/jmss/jmssp.2014.130.138">doi:10.3844/jmssp.2014.130.138</a></p>Geographically Weighted Regression (GWR) is a technique that brings the framework of a simple regression model into a weighted regression model. Each parameter in this model is calculated at each poin...]]></content:encoded>
    <dc:title><![CDATA[MAPPING OF ILLITERACY AND INFORMATION AND COMMUNICATION TECHNOLOGY INDICATORS USING GEOGRAPHICALLY WEIGHTED REGRESSION]]></dc:title><dc:creator>Rokhana Dwi Bekti</dc:creator><dc:creator>  Andiyono</dc:creator><dc:creator>Edy  Irwansyah</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.130.138</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-02-21; | doi:10.3844/jmssp.2014.130.138</dc:source>
    <dc:date>2014-02-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.130.138</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.139.147">
    <title><![CDATA[ON FINITE DIFFERENCES ON A STRING PROBLEM]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.139.147</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 22 February 2014; <a href="https://thescipub.com/jmss/jmssp.2014.139.147">doi:10.3844/jmssp.2014.139.147</a></p>This study presents an analysis of a one-Dimensional (1D) time dependent wave equation from a vibrating guitar string. We consider the transverse displacement of a plucked guitar string and the subseq...]]></content:encoded>
    <dc:title><![CDATA[ON FINITE DIFFERENCES ON A STRING PROBLEM]]></dc:title><dc:creator>J. M. Mango</dc:creator><dc:creator>C.  Eryenyu</dc:creator><dc:creator>S. E. Rugeihyamu</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.139.147</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-02-22; | doi:10.3844/jmssp.2014.139.147</dc:source>
    <dc:date>2014-02-22</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.139.147</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.148.154">
    <title><![CDATA[POISSON-WEIGHTED EXPONENTIAL UNIVARIATE VERSION AND REGRESSION MODEL WITH APPLICATIONS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.148.154</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 8 March 2014; <a href="https://thescipub.com/jmss/jmssp.2014.148.154">doi:10.3844/jmssp.2014.148.154</a></p>This study introduces a new two-parameter mixed Poisson distribution, namely Poisson-Weighted Exponential (P-WE), which is obtained by mixing Poisson distribution with a new class of weighted exponent...]]></content:encoded>
    <dc:title><![CDATA[POISSON-WEIGHTED EXPONENTIAL UNIVARIATE VERSION AND REGRESSION MODEL WITH APPLICATIONS]]></dc:title><dc:creator>Hossein  Zamani</dc:creator><dc:creator>Noriszura  Ismail</dc:creator><dc:creator>Pouya  Faroughi</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.148.154</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-03-08; | doi:10.3844/jmssp.2014.148.154</dc:source>
    <dc:date>2014-03-08</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.148.154</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.148.154</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.155.168">
    <title><![CDATA[CONSTRUCTION OF GENERAL SUBSUMPTIVE SOLUTIONS OF BOOLEAN EQUATIONS VIA COMPLETE-SUM DERIVATION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.155.168</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 13 March 2014; <a href="https://thescipub.com/jmss/jmssp.2014.155.168">doi:10.3844/jmssp.2014.155.168</a></p>Boolean-equation solving permeates many diverse areas of modern science. To solve a system of Boolean equations, one usually combines them into an equivalent single Boolean equation {f(X) = 0} whose s...]]></content:encoded>
    <dc:title><![CDATA[CONSTRUCTION OF GENERAL SUBSUMPTIVE SOLUTIONS OF BOOLEAN EQUATIONS VIA COMPLETE-SUM DERIVATION]]></dc:title><dc:creator>Ali Muhammad Ali Rushdi</dc:creator><dc:creator>Hussain Mobarak Albarakati</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.155.168</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-03-13; | doi:10.3844/jmssp.2014.155.168</dc:source>
    <dc:date>2014-03-13</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.155.168</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.155.168</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.169.185">
    <title><![CDATA[A NOVEL ROBUST AND EFFICIENT TOOL FOR DETECTING HETEROSCEDASTICITY]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.169.185</link>
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        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 21 March 2014; <a href="https://thescipub.com/jmss/jmssp.2014.169.185">doi:10.3844/jmssp.2014.169.185</a></p>One of the greatest values of Quantile Regression (QR) is that it provides a good procedure in the sense that QR could be much more efficient and sometimes arbitrarily more efficient in recovering the...]]></content:encoded>
    <dc:title><![CDATA[A NOVEL ROBUST AND EFFICIENT TOOL FOR DETECTING HETEROSCEDASTICITY]]></dc:title><dc:creator>Wei  Xiong</dc:creator><dc:creator>Maozai  Tian</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.169.185</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-03-21; | doi:10.3844/jmssp.2014.169.185</dc:source>
    <dc:date>2014-03-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.169.185</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.169.185</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.186.191">
    <title><![CDATA[CHARACTERIZATION OF MARKOV-BERNOULLI GEOMETRIC DISTRIBUTION RELATED TO RANDOM SUMS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.186.191</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 31 March 2014; <a href="https://thescipub.com/jmss/jmssp.2014.186.191">doi:10.3844/jmssp.2014.186.191</a></p>The Markov-Bernoulli geometric distribution is obtained when a generalization, as a Markov process, of the independent Bernoulli sequence of random variables is introduced by considering the success p...]]></content:encoded>
    <dc:title><![CDATA[CHARACTERIZATION OF MARKOV-BERNOULLI GEOMETRIC DISTRIBUTION RELATED TO RANDOM SUMS]]></dc:title><dc:creator>Mohamed  Gharib</dc:creator><dc:creator>Mahmoud M. Ramadan</dc:creator><dc:creator>Khaled A.H. Al-Ajmi</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.186.191</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-03-31; | doi:10.3844/jmssp.2014.186.191</dc:source>
    <dc:date>2014-03-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.186.191</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.186.191</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.192.200">
    <title><![CDATA[GAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.192.200</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 4 April 2014; <a href="https://thescipub.com/jmss/jmssp.2014.192.200">doi:10.3844/jmssp.2014.192.200</a></p>Regression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can b...]]></content:encoded>
    <dc:title><![CDATA[GAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATION]]></dc:title><dc:creator>  Sutikno</dc:creator><dc:creator>Heri  Kuswanto</dc:creator><dc:creator>Iis Dewi Ratih</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.192.200</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-04-04; | doi:10.3844/jmssp.2014.192.200</dc:source>
    <dc:date>2014-04-04</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.192.200</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.192.200</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.201.210">
    <title><![CDATA[FORCED CONVECTION HEAT TRANSFER, FLOW CONFIGURATION AND THERMAL PERFORMANCE IN A SQUARE CHANNEL WITH MODIFIED V-SHAPED BAFFLES]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.201.210</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 7 April 2014; <a href="https://thescipub.com/jmss/jmssp.2014.201.210">doi:10.3844/jmssp.2014.201.210</a></p>The influences of modified V-shaped baffle in a square channel for heat transfer and thermal performance enhancement are presented numerically in three Dimensional (3D). The V-shaped baffles are modif...]]></content:encoded>
    <dc:title><![CDATA[FORCED CONVECTION HEAT TRANSFER, FLOW CONFIGURATION AND THERMAL PERFORMANCE IN A SQUARE CHANNEL WITH MODIFIED V-SHAPED BAFFLES]]></dc:title><dc:creator>Amnart  Boonloi</dc:creator><dc:creator>Withada  Jedsadaratanachai</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.201.210</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-04-07; | doi:10.3844/jmssp.2014.201.210</dc:source>
    <dc:date>2014-04-07</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.201.210</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.201.210</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.211.220">
    <title><![CDATA[A NEW FAMILY OF GENERALIZED GAMMA DISTRIBUTION AND ITS APPLICATION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.211.220</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 9 April 2014; <a href="https://thescipub.com/jmss/jmssp.2014.211.220">doi:10.3844/jmssp.2014.211.220</a></p>The mixture distribution is defined as one of the most important ways to obtain new probability distributions in applied probability and several research areas. According to the previous reason, we ha...]]></content:encoded>
    <dc:title><![CDATA[A NEW FAMILY OF GENERALIZED GAMMA DISTRIBUTION AND ITS APPLICATION]]></dc:title><dc:creator>Satsayamon  Suksaengrakcharoen</dc:creator><dc:creator>Winai  Bodhisuwan</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.211.220</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-04-09; | doi:10.3844/jmssp.2014.211.220</dc:source>
    <dc:date>2014-04-09</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.211.220</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.211.220</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.221.230">
    <title><![CDATA[THE TEMPORAL DYNAMICS OF REGIONAL CITY SIZE DISTRIBUTION: ANDHRA PRADESH (1951-2001)]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.221.230</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 14 April 2014; <a href="https://thescipub.com/jmss/jmssp.2014.221.230">doi:10.3844/jmssp.2014.221.230</a></p>Systems with measurable entities are characterized by certain properties of their size distribution. City Size Distribution (CSD) and the underlying city size dynamics have received attention in the u...]]></content:encoded>
    <dc:title><![CDATA[THE TEMPORAL DYNAMICS OF REGIONAL CITY SIZE DISTRIBUTION: ANDHRA PRADESH (1951-2001)]]></dc:title><dc:creator>G.  Kumar</dc:creator><dc:creator>A.  Subbarayan</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.221.230</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-04-14; | doi:10.3844/jmssp.2014.221.230</dc:source>
    <dc:date>2014-04-14</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.221.230</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.221.230</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.231.243">
    <title><![CDATA[SWITCHING-ALGEBRAIC ANALYSIS OF RELATIONAL DATABASES]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.231.243</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 18 April 2014; <a href="https://thescipub.com/jmss/jmssp.2014.231.243">doi:10.3844/jmssp.2014.231.243</a></p>There is an established equivalence between relational database Functional Dependencies (FDs) and a fragment of switching algebra that is built typically of Horn clauses. This equivalence pertains to ...]]></content:encoded>
    <dc:title><![CDATA[SWITCHING-ALGEBRAIC ANALYSIS OF RELATIONAL DATABASES]]></dc:title><dc:creator>Ali Muhammad Ali Rushdi</dc:creator><dc:creator>Omar Mohammed Ba-Rukab</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.231.243</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-04-18; | doi:10.3844/jmssp.2014.231.243</dc:source>
    <dc:date>2014-04-18</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.231.243</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.231.243</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.244.246">
    <title><![CDATA[THREE BAYESIAN TEST INDEXES FOR NORMAL DISTRIBUTIONS]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.244.246</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 24 April 2014; <a href="https://thescipub.com/jmss/jmssp.2014.244.246">doi:10.3844/jmssp.2014.244.246</a></p>In clinical trials, data that are consistent with a normal distribution are often regarded as candidates for primary evaluation variables. In such cases, t-tests are frequently used to compare differe...]]></content:encoded>
    <dc:title><![CDATA[THREE BAYESIAN TEST INDEXES FOR NORMAL DISTRIBUTIONS]]></dc:title><dc:creator>Yohei  Kawasaki</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.244.246</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-04-24; | doi:10.3844/jmssp.2014.244.246</dc:source>
    <dc:date>2014-04-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.244.246</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.244.246</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.247.254">
    <title><![CDATA[ESTIMATING LOSS SEVERITY DISTRIBUTION: CONVOLUTION APPROACH]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.247.254</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 2 May 2014; <a href="https://thescipub.com/jmss/jmssp.2014.247.254">doi:10.3844/jmssp.2014.247.254</a></p>Financial loss can be classified into two types such as expected loss and unexpected loss. A current definition seeks to separate two losses from a total loss. In this article, however, we redefine a ...]]></content:encoded>
    <dc:title><![CDATA[ESTIMATING LOSS SEVERITY DISTRIBUTION: CONVOLUTION APPROACH]]></dc:title><dc:creator>Ro J. Pak</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.247.254</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-05-02; | doi:10.3844/jmssp.2014.247.254</dc:source>
    <dc:date>2014-05-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.247.254</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.247.254</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.255.261">
    <title><![CDATA[MISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSION]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.255.261</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 3 May 2014; <a href="https://thescipub.com/jmss/jmssp.2014.255.261">doi:10.3844/jmssp.2014.255.261</a></p>Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weig...]]></content:encoded>
    <dc:title><![CDATA[MISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSION]]></dc:title><dc:creator>Jumlong  Vongprasert</dc:creator><dc:creator>Bhusana  Premanode</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.255.261</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-05-03; | doi:10.3844/jmssp.2014.255.261</dc:source>
    <dc:date>2014-05-03</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.255.261</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.255.261</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.262.266">
    <title><![CDATA[STATIONARY CONNECTED CURVES IN HILBERT SPACES]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.262.266</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 17 May 2014; <a href="https://thescipub.com/jmss/jmssp.2014.262.266">doi:10.3844/jmssp.2014.262.266</a></p>In this article the structure of non-stationary curves which are stationary connected in Hilbert space is studied using triangular models of non-self-adjoint operator. The concept of evolutionary repr...]]></content:encoded>
    <dc:title><![CDATA[STATIONARY CONNECTED CURVES IN HILBERT SPACES]]></dc:title><dc:creator>Raed  Hatamleh</dc:creator><dc:creator>Ahmad  Qazza</dc:creator><dc:creator>Hatim  Migdadi</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.262.266</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-05-17; | doi:10.3844/jmssp.2014.262.266</dc:source>
    <dc:date>2014-05-17</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.262.266</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.262.266</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.267.274">
    <title><![CDATA[FUZZY MODEL OPTIMIZATION FOR TIME SERIES DATA USING A TRANSLATION IN THE EXTENT OF MEAN ERROR]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.267.274</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 2 June 2014; <a href="https://thescipub.com/jmss/jmssp.2014.267.274">doi:10.3844/jmssp.2014.267.274</a></p>Recently, many researchers in the field of writing about the prediction of stock price forecasting, electricity load demand and academic enrollment using fuzzy methods. However, in general, modeling d...]]></content:encoded>
    <dc:title><![CDATA[FUZZY MODEL OPTIMIZATION FOR TIME SERIES DATA USING A TRANSLATION IN THE EXTENT OF MEAN ERROR]]></dc:title><dc:creator>  Nurhayadi</dc:creator><dc:creator>  Subanar</dc:creator><dc:creator>  Abdurakhman</dc:creator><dc:creator>Agus Maman Abadi</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.267.274</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-06-02; | doi:10.3844/jmssp.2014.267.274</dc:source>
    <dc:date>2014-06-02</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.267.274</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.267.274</prism:url>
    </item><item rdf:about="https://thescipub.com/jmss/jmssp.2014.275.280">
    <title><![CDATA[SEQUENTIAL ESTIMATION OF THE SQUARE OF THE RAYLEIGH PARAMETER]]></title>
    <link>https://thescipub.com/jmss/jmssp.2014.275.280</link>
    <content:encoded>
        <![CDATA[<p>Journal of Mathematics and Statistics, Published online: 19 June 2014; <a href="https://thescipub.com/jmss/jmssp.2014.275.280">doi:10.3844/jmssp.2014.275.280</a></p>The problem addressed is that of sequentially estimating the square of the parameter of the Rayleigh distribution, subject to a weighted squared loss plus cost of sampling. We propose a sequential pro...]]></content:encoded>
    <dc:title><![CDATA[SEQUENTIAL ESTIMATION OF THE SQUARE OF THE RAYLEIGH PARAMETER]]></dc:title><dc:creator>Mohamed  Tahir</dc:creator><dc:identifier>doi:10.3844/jmssp.2014.275.280</dc:identifier>
    <dc:source>Journal of Mathematics and Statistics, Published online: 2014-06-19; | doi:10.3844/jmssp.2014.275.280</dc:source>
    <dc:date>2014-06-19</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jmssp.2014.275.280</prism:doi>
    <prism:url>https://thescipub.com/jmss/jmssp.2014.275.280</prism:url>
    </item></rdf:RDF>