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    <title>Extending the piecewise exponential estimator of the survival function</title>
    <link>http://hdl.handle.net/10057/1363</link>
    <description>title: Extending the piecewise exponential estimator of the survival function authors: Malla, Ganesh B.
&lt;br&gt;abstract: We propose a new way of extending the piecewise exponential estimator (PEXE) beyond the last observation,&#xD;
where the original PEXE and the Kaplan-Meier estimator (KME) of the true survival function (SF) are undefined. We&#xD;
propose additional exponential tail to the original PEXE so that the estimate of the true mean by our estimator, which we&#xD;
will call extended-PEXE (EPEXE), and the KME are equal. By simulations, with various survival functions, we have been&#xD;
able to show that EPEXE improves on both the original PEXE and the KME.
&lt;br&gt;description: Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.
&lt;br&gt;</description>
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    <title>Uniqueness of inverse source problems for some semilinear elliptic equations</title>
    <link>http://hdl.handle.net/10057/849</link>
    <description>title: Uniqueness of inverse source problems for some semilinear elliptic equations authors: Myers, Joseph K.
&lt;br&gt;abstract: Uniqueness of positive f is established in the inverse source problem − Δu + c(x,u) = f (x) under conditions on the known coefficient&#xD;
c. This inverse problem is significant in the areas of semiconductor manufacturing, and in the study of ion channels in biology&#xD;
and health care.
&lt;br&gt;description: Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 27, 2007.
&lt;br&gt;</description>
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    <title>Combinatorial input recognition algorithm Internet applications to HTTP web servers</title>
    <link>http://hdl.handle.net/10057/848</link>
    <description>title: Combinatorial input recognition algorithm Internet applications to HTTP web servers authors: Myers, Joseph K.
&lt;br&gt;abstract: We introduce an algorithm for the classical recognition problem of identifying elements s within a class of strings S =&#xD;
{s1, s2, ..., sn}. Here it is assumed that struct s = { char *a; int z; }; and that for two strings s1, s2 if s1.z == s2.z then there is J =&#xD;
{j1, j2, ..., jl} with l(z) &lt; z so that s1[J] == s2[J] ⇒ s1 == s2. The goal is to minimize Σ =&#xD;
n&#xD;
k i l si z 1 ( . ) and thus distinguish elements&#xD;
with the smallest number of comparisons. In general, this simply means that in a language system we face a nonoptimal set of&#xD;
keywords (n &lt; sizeof(*s.a)z) and so we seek to reconstruct the language with a smaller set of k recognition vertices so that k ≈&#xD;
logsizeof(*s.a) n. The algorithm is applied to increasing HTTP transmission and request processing speed. The result is an increase&#xD;
in web server performance from 20,000 to 35,000 or more hits per second. The input recognition algorithm produces the greatest&#xD;
improvement when interpreting HTTP request headers which are large in proportion to the response. This is the case when&#xD;
collecting data for statistical analysis of Internet traffic.
&lt;br&gt;description: Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 27, 2007.
&lt;br&gt;</description>
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    <title>Increased stability of solutions to the Helmholtz equation</title>
    <link>http://hdl.handle.net/10057/598</link>
    <description>title: Increased stability of solutions to the Helmholtz equation authors: Aralumallige, Deepak
&lt;br&gt;description: Paper presented to the 2nd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 28, 2006.
&lt;br&gt;</description>
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