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2014

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Missing Data And The Statistical Modeling Of Adolescent Pregnancy, Dudley L. Poston Dr., Eugenia Conde Dr. Nov 2014

Missing Data And The Statistical Modeling Of Adolescent Pregnancy, Dudley L. Poston Dr., Eugenia Conde Dr.

Journal of Modern Applied Statistical Methods

Missing data is a pervasive problem in social science research. Many techniques have been developed to handle the problem. Different ways of handling missing data were shown to lead to different results in statistical models. A demonstration was given based on statistical modeling of the likelihood of a woman reporting having had an adolescent pregnancy by handling missing data with several different approaches. Results indicate that many of the independent variables in the model vary in whether they are, or are not, statistically significant in predicting the log odds of a woman having a teen pregnancy, and in the ranking …

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Conover’S F Test As An Alternative To Durbin’S Test, Donald J. Best, John Charles Rayner Nov 2014

Conover’S F Test As An Alternative To Durbin’S Test, Donald J. Best, John Charles Rayner

Journal of Modern Applied Statistical Methods

Data consisting of ranks within blocks are considered for balanced incomplete block designs. An F test statistic from ANOVA is better approximated by an F distribution than the Durbin statistic is approximated by a chi-squared distribution. Indicative powers demonstrate that the F test is generally superior to Durbin’s test.

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A Bivariate Distribution With Conditional Gamma And Its Multivariate Form, Sumen Sen, Rajan Lamichhane, Norou Diawara Nov 2014

A Bivariate Distribution With Conditional Gamma And Its Multivariate Form, Sumen Sen, Rajan Lamichhane, Norou Diawara

Journal of Modern Applied Statistical Methods

A bivariate distribution whose marginal are gamma and beta prime distribution is introduced. The distribution is derived and the generation of such bivariate sample is shown. Extension of the results are given in the multivariate case under a joint independent component analysis method. Simulated applications are given and they show consistency of our approach. Estimation procedures for the bivariate case are provided.

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Reliability Estimates Of Generalized Poisson Distribution And Generalized Geometric Series Distribution, Adil H. Khan, T R. Jan Nov 2014

Reliability Estimates Of Generalized Poisson Distribution And Generalized Geometric Series Distribution, Adil H. Khan, T R. Jan

Journal of Modern Applied Statistical Methods

Discrete distributions have played an important role in the reliability theory. In order to obtain Bayes estimators, researchers have adopted various conventional techniques. Generalizing the results of Maiti (1995), Chaturvadi and Tomer (2002) dealt with the problem of estimating P{X1, X2, …, Xk ≤ Y}, where random variables X and Y were assumed to follow a negative binomial distribution. Agit et al. obtained Bayesian estimates of the reliability functions and P{X1, X2, …, Xk ≤ Y} considering X and Y following binomial and Poisson …

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Comparison Of Individual And Moving Range Chart Combinations To Individual Charts In Terms Of Arl After Designing For A Common “All Ok” Arl, Dewi Rahardja Nov 2014

Comparison Of Individual And Moving Range Chart Combinations To Individual Charts In Terms Of Arl After Designing For A Common “All Ok” Arl, Dewi Rahardja

Journal of Modern Applied Statistical Methods

In some process monitoring situations, consecutive measurements are spaced widely apart in time, making monitoring process aim and spread difficult. This study uses three cases to compare the effectiveness of two such monitoring schemes, i.e., the X chart alone (X-only chart) and the Individuals and Moving Range Chart Combination (X/MR chars), in terms of Average Run Length (ARL) after designing for a common “all OK” (in-control) ARL. The study finds that X chart alone is sufficient (and hence, recommended) in detecting changes in all the 3 cases: changes in the process mean, changes in the process standard deviation, and changes …

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Advertising In Asymmetric Competing Supply Chains, Bin Liu, Gangshu (George) Cai, Andy A. Tsay Nov 2014

Advertising In Asymmetric Competing Supply Chains, Bin Liu, Gangshu (George) Cai, Andy A. Tsay

Information Systems and Analytics

Advertising is a crucial tool for demand creation and market expansion. When a manufacturer uses a retailer as a channel for reaching end customers, the advertising strategy takes on an additional dimension: which party will perform the advertising to end customers. Cost sharing (“co-operative advertising”) arrangements proliferate the option by decoupling the execution of the advertising from its funding. We examine the efficacy of cost sharing in a model of two competing manufacturer–retailer supply chains who sell partially substitutable products that may differ in market size. Some counterintuitive findings suggest that the firms performing the advertising would rather bear the …

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Shock-Waves And Other Solutions To The Sharma- Tasso-Olver Equation With Lie Point Symmetry And Travelling-Waves Approach, B. S. Ahmed, R. M. Morris, E. V. Krishnan, P. G. L. Leach, Anjan Biswas Nov 2014

Shock-Waves And Other Solutions To The Sharma- Tasso-Olver Equation With Lie Point Symmetry And Travelling-Waves Approach, B. S. Ahmed, R. M. Morris, E. V. Krishnan, P. G. L. Leach, Anjan Biswas

Applied Mathematics & Information Sciences

This paper addresses the Sharma-Tasso-Olver equation from an integrability perspective. There are three integration tools that are applied to extract the solutions to this nonlinear evolution equation. The ansatz method is applied to the generalised equation with power-law nonlinearity to obtain shock-wave solutions. Subsequently, the traveling-wave hypothesis leads to another set of solutions in the complex domain. Finally, Lie symmetry analysis leads to a third set of solutions. Several constraint conditions emerge from the various analyses.

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On The Relation Between Outage Probability And Effective Frequency Diversity Order, Yongjune Kim, Minjoong Rim, Xianglan Jin, Dae-Woon Lim Nov 2014

On The Relation Between Outage Probability And Effective Frequency Diversity Order, Yongjune Kim, Minjoong Rim, Xianglan Jin, Dae-Woon Lim

Applied Mathematics & Information Sciences

In this paper, the relation between the outage probability and the effective frequency diversity order will be investigated. If the number of nonzero elements in power delay profile (PDP) is two, there is one-to-one correspondence between the outage probability and the effective frequency diversity order. On the other hand, if the number of nonzero elements in PDP is greater than two, the effective frequency diversity order provides the upper and lower bounds on the outage probability rather than the exact outage probability. Also, the effective frequency diversity order and the outage probability of cyclic delay diversity (CDD) schemes will be …

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I/O Conformance Test Generation With Colored Petri Nets, Jing Liu, Xinming Ye, Jiantao Zhou, Xiaoyu Song Nov 2014

I/O Conformance Test Generation With Colored Petri Nets, Jing Liu, Xinming Ye, Jiantao Zhou, Xiaoyu Song

Applied Mathematics & Information Sciences

This paper explores Input-Output Conformance (IOCO) test generation with Colored Petri Nets (CPN). A test generation oriented CPN model and CPN based IOCO relation is proposed. Feasible test cases are generated by model simulation with the proof of its soundness. The method integrates the merits the IOCO testing theory and the CPN modeling synergistically, and is applied as a nontrivial and competent test case generation approach for practical testing projects. The effectiveness of this test generation approach is demonstrated by a concrete software system. Since the model simulation based test generation process is irrespective with the model size, the effectiveness …

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Numerical Robustness In Geometric Computation: An Expository Summary, Gang Mei, John C. Tipper, Nengxiong Xu Nov 2014

Numerical Robustness In Geometric Computation: An Expository Summary, Gang Mei, John C. Tipper, Nengxiong Xu

Applied Mathematics & Information Sciences

This paper attempts to present an expository summary on the numerical non-robustness issues in geometric computation. We try to give the answers to two questions: (1) why numerical non-robustness issues occur in geometric computing, and (2) how to deal with them in practice. We first describe the theoretical causes of the problematic robustness behaviors, and then present several popular and practical solutions to the non-robustness problem. Note that these algorithm-specific or general solutions are only part of the existing efforts to attack the numerical robustness problem, but are quite useful in practical applications. Additionally, geometric examples and sample codes are …

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Inter-Temporal Optimal Asset Allocation And Time-Varying Risk Aversion, Honglin Yang, Penglan Fang, Hong Wan, Yong Zha Nov 2014

Inter-Temporal Optimal Asset Allocation And Time-Varying Risk Aversion, Honglin Yang, Penglan Fang, Hong Wan, Yong Zha

Applied Mathematics & Information Sciences

The inter-temporal optimal decision is related to investors risk preference. In this study, we analyze the optimal asset allocation over investment horizon of invariable risk preference indicated by constant risk aversion. To capture dynamic property of risk aversion, we relax the assumption of constant risk aversion and formulate a time-varying function in response to the impacts of time and wealth. Our general decision model built on time-varying risk aversion allows us to further investigate the inter-temporal optimal asset allocation. The numerical evidences from the model show that the optimal allocation of risky assets in portfolios is significantly related to investors …

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Approximations Of The Jensen Divergence, E. Kikianty, S. S. Dragomir, L. Ndlovu Nov 2014

Approximations Of The Jensen Divergence, E. Kikianty, S. S. Dragomir, L. Ndlovu

Applied Mathematics & Information Sciences

The Jensen divergence is used to measure the difference between two probability distributions. This divergence has been generalised to allow the comparison of more than two distributions. In this paper, we consider some bounds for generalised Jensen divergence for m-time differentiable functions.

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Intelligent Decision Support For New Product Development: A Consumer-Oriented Approach, Yang-Cheng Lin, Chun-Chih Chen, Chung-Hsing Yeh Nov 2014

Intelligent Decision Support For New Product Development: A Consumer-Oriented Approach, Yang-Cheng Lin, Chun-Chih Chen, Chung-Hsing Yeh

Applied Mathematics & Information Sciences

This paper presents a consumer-oriented design approach to determine the optimal form design of characteristic toys that best matches consumers’ preferences. The consumer-oriented design approach is based on the process of Kansei Engineering using neural networks (NNs) and the technique for order preference by similarity to ideal solution (TOPSIS). The NN model is used to build a design decision support database, and then an NN-based TOPSIS decision support model is used to enable product designers to obtain the optimal design alternatives that best meet consumers’ preferences for a new characteristic toy design.

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A Necessary Condition For The Security Of Coherent- One-Way Quantum Key Distribution Protocol, Mhlambululi Mafu, Adriana Marais, Francesco Petruccione Nov 2014

A Necessary Condition For The Security Of Coherent- One-Way Quantum Key Distribution Protocol, Mhlambululi Mafu, Adriana Marais, Francesco Petruccione

Applied Mathematics & Information Sciences

The coherent-one-way and the differential-phase-shift protocols are two of the most recent practical quantum key distribution protocols for quantum cryptography. These protocols belong to a class of so-called distributed-phase-reference quantum key distribution protocols. While security proofs for some limited attacks exist, the unconditional security proofs this class of protocol remain unrealised. The existing tools for proving security of protocols against the most general attacks fail to apply to this class of protocol in a straight forward way. One of the necessary conditions for a quantum key distribution protocol to be secure is the presence of noncommuting measurements. In this paper, …

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Towards Secure Data Exchange In Peer-To-Peer Data Management Systems, Sk. Md. Mizanur Rahman, Mehedi Masud, Ali N M Noman, Atif Alamri, Mohammad Mehedi Hassan Nov 2014

Towards Secure Data Exchange In Peer-To-Peer Data Management Systems, Sk. Md. Mizanur Rahman, Mehedi Masud, Ali N M Noman, Atif Alamri, Mohammad Mehedi Hassan

Applied Mathematics & Information Sciences

In a peer-to-peer data management system (P2PDMS) peers exchange data in a pair-wise fashion on-the-fly in response to user queries without any centralized control. When peers exchange highly confidential data over an insecure communication channel, the data might be intercepted and read by intruders. As there is no centralized control for data exchange among peers in a P2PDMS, we cannot assume any central third party security infrastructure (e.g. PKI) to protect confidential data. This paper proposes a security protocol for data exchange in P2PDMSs based on pairing-based cryptography and data exchange policy. The protocol allows the peers to compute their …

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Dimension Reduction Parameters For Leukemia Diagnostic Based In Subspace Arrangement Segmentation, Leticia Flores-Pulido, Gustavo Rodr?Guez-G?Mez, Jes?S A. A. Gonz?Lez Nov 2014

Dimension Reduction Parameters For Leukemia Diagnostic Based In Subspace Arrangement Segmentation, Leticia Flores-Pulido, Gustavo Rodr?Guez-G?Mez, Jes?S A. A. Gonz?Lez

Applied Mathematics & Information Sciences

This paper presents a novel approach for the classification of acute leukemia subtypes using image processing and mathematical techniques. The preprocessing phase analyses 376 features from abdnormal leukocytes images. The features or parameters are Leukemia Parameters that helps to lymphoblastic subtypes detection which come from bone marrow images with heterogeneous staining. The second phase imply the robust generalized principal component analysis as segmentation method for data classification into a subspace arrangement with tree dimensions for each plane of lymphoblastic subtype and four dimension for the subspace arrangement. The novel of our proposal states that the two subtypes of acute leukemia …

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A Mathematical Framework For Parallel Computing Of Discrete-Time Discrete-Frequency Transforms In Multi-Core Processors, Pablo Soto-Quiros Nov 2014

A Mathematical Framework For Parallel Computing Of Discrete-Time Discrete-Frequency Transforms In Multi-Core Processors, Pablo Soto-Quiros

Applied Mathematics & Information Sciences

This paper presents a mathematical framework for a family of discrete-time discrete-frequency transforms in terms of matrix signal algebra. The matrix signal algebra is a mathematics environment composed of a signal space, a finite dimensional linear operators and special matrices where algebraic methods are used to generate these signal transforms as computational estimators. The matrix signal algebra contribute to analysis, design and implementation of parallel algorithms in multi-core proccesors. In this work, an implementation and experimental investigation of the mathematical framework are performed using MATLABr with the Parallel Computing ToolboxTM. We found that there is advantage to use multi-core processors …

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New Symmetric Identities Involving Q-Zeta Type Functions, Serkan Araci, Armen Bagdasaryan, Cenap ?Zel, H. M. Srivastava Nov 2014

New Symmetric Identities Involving Q-Zeta Type Functions, Serkan Araci, Armen Bagdasaryan, Cenap ?Zel, H. M. Srivastava

Applied Mathematics & Information Sciences

The main object of this paper is to obtain several symmetric properties of the q-zeta type functions. As applications of these properties, we give some new interesting identities for the modified q-Genocchi polynomials. Finally, our applications are shown to lead to a number of interesting results which we state in the present paper.

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An Optimization Algorithm For Solving Systems Of Singular Boundary Value Problems, Zaer Abo-Hammour, Omar Abu Arqub, Othman Alsmadi, Shaher Momani Nov 2014

An Optimization Algorithm For Solving Systems Of Singular Boundary Value Problems, Zaer Abo-Hammour, Omar Abu Arqub, Othman Alsmadi, Shaher Momani

Applied Mathematics & Information Sciences

In this paper, an optimization algorithm is presented for solving systems of singular boundary value problems. In this technique, the system is formulated as an optimization problem by the direct minimization of the overall individual residual error subject to the given constraints boundary conditions, and is then solved using continuous genetic algorithm in the sense that each of the derivatives is replaced by an appropriate difference quotient approximation. Two numerical experiments are carried out to verify the mathematical results, and the theoretical statements for the solutions are supported by the results of numerical experiments.Meanwhile, the statistical analysis is provided in …

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Digital Watermarking For Images Security Using Discrete Slantlet Transform, Myasar Mundher, Dzulkifli Muhamad, Amjad Rehman, Tanzila Saba, Firdous Kausar Nov 2014

Digital Watermarking For Images Security Using Discrete Slantlet Transform, Myasar Mundher, Dzulkifli Muhamad, Amjad Rehman, Tanzila Saba, Firdous Kausar

Applied Mathematics & Information Sciences

This paper presents digital images watermarking approach to sustain the ownership and true authentication. To secure intellectual belongings of images, audio and videos, watermark W is converted into a sequence of bits and in order to encrypt the watermark, sequence of size R is selected randomly. Additionally, a pseudo random number is generated to calculate pixels for selection key generation. Finally, 2-level discrete slanlet transform (DST) on the host image is applied to divide it into Red, Green and Blue channels. The results thus produced from proposed methodology exhibit robustness against the existing state of the art. Further, proposed approach …

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Group Analysis Of A Generalized Kdv Equation, Motlatsi Molati, Chaudry Masood Khalique Nov 2014

Group Analysis Of A Generalized Kdv Equation, Motlatsi Molati, Chaudry Masood Khalique

Applied Mathematics & Information Sciences

In this work the Korteweg-de Vries equation which contains an arbitrary function in the nonlinear term is considered and it is referred to as a generalized KdV. This equation has applications in nonlinear solitary wave phenomena in some areas of fluid mechanics, plasma physics and quantum mechanics. The Lie group analysis approach is employed to obtain the possible forms of the arbitrary parameter.

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Fractional Hermite-Hadamard Inequalities For Some New Classes Of Godunova-Levin Functions, Muhammad Aslam Noor, Khalida Inayat Noor, Muhammad Uzair Awan, Sundas Khan Nov 2014

Fractional Hermite-Hadamard Inequalities For Some New Classes Of Godunova-Levin Functions, Muhammad Aslam Noor, Khalida Inayat Noor, Muhammad Uzair Awan, Sundas Khan

Applied Mathematics & Information Sciences

In this paper, some new classes of Godunova-Levin functions are introduced and investigated. Several new fractional Hermite-Hadamard inequalities are derived for these new classes of Godunova-Levin functions. The ideas and techniques of this paper may stimulate and inspire further research.

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Fuzzy Bi-Level Multi-Objective Fractional Integer Programming, E. A. Youness, O. E. Emam, M. S. Hafez Nov 2014

Fuzzy Bi-Level Multi-Objective Fractional Integer Programming, E. A. Youness, O. E. Emam, M. S. Hafez

Applied Mathematics & Information Sciences

We present an algorithm to solve a bi-level multi-objective fractional integer programming problem involving fuzzy numbers in the right-hand side of the constraints. The suggested algorithm combine the method of Taylor series together with the Kuhn Tucker conditions to solve fuzzy bi-level multi-objective fractional integer programming problem (FBLMOFIPP) then Gomory cuts are added till the integer solution is obtained. An illustrative example is discussed to demonstrate the correctness of the proposed solution method.

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Upper And Lower Continuity Of Soft Multifunctions, Metin Akdag, Fethullah Erol Nov 2014

Upper And Lower Continuity Of Soft Multifunctions, Metin Akdag, Fethullah Erol

Applied Mathematics & Information Sciences

In this paper, we introduced the notion of soft multifunctions and define the upper and lower inverse of a soft multifunction and prove basic properties. Then using these ideas we introduced the concepts of upper and lower continuous soft multifunctions. Also we obtain some characterizations and several properties concerning upper and lower soft continuous multifunctions.

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Some Remarks On The Fractional Sumudu Transform And Applications, Adem Kılıçman, Omer Altun Nov 2014

Some Remarks On The Fractional Sumudu Transform And Applications, Adem Kılıçman, Omer Altun

Applied Mathematics & Information Sciences

In this work we study fractional order Sumudu transform. In the development of the definition we use fractional analysis based on the modified Riemann - Liouville derivative, then we name the fractional Sumudu transform. We also establish a relationship between fractional Laplace and Sumudu via duality with complex inversion formula for fractional Sumudu transform and apply new definition to solve fractional differential equations.

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Best Compromise Alternative To Eeld Problem Using Hybrid Multiobjective Quantum Genetic Algorithm, A. A. Mousa, E. E. Elattar Nov 2014

Best Compromise Alternative To Eeld Problem Using Hybrid Multiobjective Quantum Genetic Algorithm, A. A. Mousa, E. E. Elattar

Applied Mathematics & Information Sciences

A novel hybrid multiobjective quantum genetic algorithm (HM-QGA) for economic emission load dispatch (EELD) optimization problem is presented. The EELD problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. HM-QGA are population based evolutionary algorithms that imitate quantum physics by introducing quantum bits for a basic probabilistic genotypic representation and hence better population diversity, and quantum gates for evolving the population of solutions. We use quantum genetic algorithm to exploits the power of quantum computing to speed up genetic algorithm procedure. We present methodology that allows the decision maker (DM) to be a …

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Dynamic Response Of A Solid Bar Of Cardioidal Cross-Sections Immersed In An Inviscid Fluid, R. Selvamani, P. Ponnusamy Nov 2014

Dynamic Response Of A Solid Bar Of Cardioidal Cross-Sections Immersed In An Inviscid Fluid, R. Selvamani, P. Ponnusamy

Applied Mathematics & Information Sciences

The dynamic response of a homogeneous transversely isotropic solid bar of cardioidal cross-section immersed in a fluid is studied using the Fourier expansion collocation method (FECM), within the framework of the linearized three-dimensional theory of elasticity. The equations of motion of solid and fluid are respectively formulated using the constitutive equations of a transversely isotropic cylinder and the constitutive equations of an inviscid fluid. Three wave potential functions are introduced to uncouple the equations of motion. The frequency equations of longitudinal and flexural (symmetric and antisymmetric) modes are analyzed numerically for a cardioidal cross-sectional transversely isotropic solid bar immersed in …

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Software Development For Transitions Of Graphs From Discrete State Into The Continuous State, Ahmet Koltuksuz, Cağatay Yücel Nov 2014

Software Development For Transitions Of Graphs From Discrete State Into The Continuous State, Ahmet Koltuksuz, Cağatay Yücel

Applied Mathematics & Information Sciences

Manifolds are suitable differentiable mathematical objects for information to be defined on. By their very definition they are non-Euclidean in the global view but in local scales they resemble Euclidean spaces. This property provides that the contemporary information models can also be defined within the previsioned new models of information models. One of the most basic representations of information is through graphs. They are discrete and highly computable mathematical objects. In this research, the main aim is to investigate methods of embedding this simple piece of information onto manifolds. This research shows that the very fundamental data structures of computer …

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A Fast And Efficient Parameter Estimation Algorithm For Generalized Output Error Models, Jie Jia, Hua Huang, Yong Yang, Ke Lv, Feng Ding, Shuying Huang Nov 2014

A Fast And Efficient Parameter Estimation Algorithm For Generalized Output Error Models, Jie Jia, Hua Huang, Yong Yang, Ke Lv, Feng Ding, Shuying Huang

Applied Mathematics & Information Sciences

One kind of the colored noise interference systems is generalized output error model (OEARMA). This paper presents a two-stage recursive least squares algorithm for OEARMA. Aiming at the OEARMA, this paper puts forward a two-stage recursive least squares algorithm. The basic idea of the algorithm is to combinie the auxiliary model identification idea and the decomposition technique to decompose a system into two subsystems. Each subsystem contains a parameter vector. With auxiliary model-based recursive extended least squares theory, an unknown intermediate variable output instead of the auxiliary model identification model vector, instead of unmeasurable noise terms in the information vector …

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Dt-Aodv: An On-Demand Routing Protocol Based Dtn In Vanet, Dongjie Zhu, Gang Cui, Zhongchuan Fu Nov 2014

Dt-Aodv: An On-Demand Routing Protocol Based Dtn In Vanet, Dongjie Zhu, Gang Cui, Zhongchuan Fu

Applied Mathematics & Information Sciences

Vehicular Ad Hoc Networks (VANET) as a fundamental part of the future intelligent, which constitutes by communication between cars, cars and roadside node use a unified wireless communication network, it can transmit auxiliary driving or real-time information to avoid accidents, and can provide the operating convenience and security with people’s travel, so VANET routing protocols is crucial, especially the packet delivery ratio in protocol. Firstly, the traditional routing protocols in MANET is researched and the actual real movement of vehicles on the road is built for network simulation, all aspects of the performance of the AODV, DSDV and DSR routing …

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