American Journal of Theoretical and Applied Statistics

Volume 4, Issue 4, July 2015

  • Statistical Analysis of Compartment Permeability Influence on Damaged Ship Motions

    Domeh Daniel Vindex Kwabla, Lartey David

    Issue: Volume 4, Issue 4, July 2015
    Pages: 223-232
    Received: Apr. 22, 2015
    Accepted: May 04, 2015
    Published: Jun. 02, 2015
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    Abstract: The study shows the changes in heave and pitch motions when a ship hull is damaged with varying compartment permeability values using wave statistics. It is an experimental investigation into obtaining motion measurements of an intact and damaged frigate model in waves. Experiments were carried out using the Southampton Solent University towing tan... Show More
  • An Empirical Analysis of Queuing Model and Queuing Behaviour in Relation to Customer Satisfaction at Jkuat Students Finance Office

    Sammy Kariuki Mwangi, Thomas Mageto Ombuni

    Issue: Volume 4, Issue 4, July 2015
    Pages: 233-246
    Received: May 14, 2015
    Accepted: May 25, 2015
    Published: Jun. 02, 2015
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    Abstract: Over the years, the population of the university has increased with the introduction of double intake system which in turn has led to long waiting times and long queues in students finance department, due to few service stations, inefficiencies in the payment system used and students being disorderly. To enhance service delivery, a proper queuing s... Show More
  • Modelling of Credit Risk: Random Forests versus Cox Proportional Hazard Regression

    Dyana Kwamboka Mageto, Samuel Musili Mwalili, Anthony Gichuhi Waititu

    Issue: Volume 4, Issue 4, July 2015
    Pages: 247-253
    Received: May 20, 2015
    Accepted: May 26, 2015
    Published: Jun. 02, 2015
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    Abstract: In survival analysis several regression modeling strategies can be applied to predict the risk of future events. Often, however, the default choice of analysis tends to rely on Cox regression modeling due to its convenience. Extensions of the random forest approach to survival analysis provide an alternative way to build a risk prediction model. Th... Show More
  • Exponentially Weighted Moving Average Control Charts for Monitoring Ambient Ozone Levels in Muscat

    Muhammad Idrees Ahmad

    Issue: Volume 4, Issue 4, July 2015
    Pages: 254-257
    Received: May 20, 2015
    Accepted: May 26, 2015
    Published: Jun. 02, 2015
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    Abstract: Exponentially Weighted Moving Average (EWMA) control charts are proposed to monitor ambient ozone (O3) levels in the city center and industrial areas of Muscat. Weekly averages of 8-hourly concentrations of ozone over a period of one year were used. The EWMA charts showed significant shift in the mean ozone levels at both the sites. However, both t... Show More
  • Principal Component and Principal Axis Factoring of Factors Associated with High Population in Urban Areas: A Case Study of Juja and Thika, Kenya

    Josephine Njeri Ngure, J. M. Kihoro, Anthony Waititu

    Issue: Volume 4, Issue 4, July 2015
    Pages: 258-263
    Received: Mar. 11, 2015
    Accepted: Mar. 23, 2015
    Published: Jun. 04, 2015
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    Abstract: Development in the world / a country today is being influenced by the population in urban areas as a result of which living standards rise in all parts of the country despite the rural areas. The main goal of our government today is to balance development of urban and rural areas of Kenya so that no areas are left behind as others head forward in t... Show More
  • Study on Financial Market Risk Measurement Based on Asymmetric Laplace Distribution

    Hong Zhang, Li Zhou, Jie Zhu

    Issue: Volume 4, Issue 4, July 2015
    Pages: 264-268
    Received: Mar. 30, 2015
    Accepted: Apr. 16, 2015
    Published: Jun. 08, 2015
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    Abstract: In this paper, According to the returns distributions (of the financial assets returns series) with peak fat-tailed and asymmetric and the theory of Asymmetric Laplace distribution.AL-VaR (AL-CVaR) parametric method and Monte Carlo simulation are proposed which are based on Asymmetric Laplace distribution. We analyze the VaR (CVaR) measuring model ... Show More
  • Bayesian Semi-Parametric Regression Analysis of Childhood Malnutrition in Gamo Gofa Zone: The Social and Economic Impact of Child Undernutrition

    Tilahun Ferede Asena, Derbachew Asfaw Teni

    Issue: Volume 4, Issue 4, July 2015
    Pages: 269-276
    Received: May 20, 2015
    Accepted: Jun. 06, 2015
    Published: Jun. 19, 2015
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    Abstract: Major progress has been made over the last decades in reducing the prevalence of malnutrition amongst children less than 5 years of age in developing countries. Approximately 27% of children under the age of 5 in these countries are still malnourished. This work focuses on the childhood malnutrition in Gamo Gofa Zone, Ethiopia. This study examined... Show More
  • Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes

    Medhat Ahmed El-Damcese, Naglaa Hassan El-Sodany

    Issue: Volume 4, Issue 4, July 2015
    Pages: 277-290
    Received: May 28, 2015
    Accepted: Jun. 10, 2015
    Published: Jun. 30, 2015
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    Abstract: This paper presents the reliability and availability measures of a two non-identical unit cold standby redundant system (unit-1 is operating, and unit-2 is cold standby) using semi-Markov process under discrete parametric Markov-Chain i.e. failure and repair times of a unit and time to PM and PM time are taken as discrete random variables assuming ... Show More
  • The Log Normal and the Poisson Gravity Models in the Analysis of Interactions Phenomena

    Giuseppe Ricciardo Lamonica

    Issue: Volume 4, Issue 4, July 2015
    Pages: 291-299
    Received: May 28, 2015
    Accepted: Jun. 09, 2015
    Published: Jul. 04, 2015
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    Abstract: Three problems often encountered when bilateral interaction data are analyzed by means of the log-normal gravity model: the bias created by the logarithmic transformation, the failure of the homoscedasticity assumption and the treatment of zero valued flows. When the interaction are count data type that takes non-negative integer values, to overcom... Show More
  • Application of Response Surface Methodology for Optimization of Potato Tuber Yield

    Dennis Kariuki Muriithi

    Issue: Volume 4, Issue 4, July 2015
    Pages: 300-304
    Received: Jun. 24, 2015
    Accepted: Jul. 02, 2015
    Published: Jul. 14, 2015
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    Abstract: The Author investigates the operating conditions required for optimal production of potato tuber yield in Kenya. This will help potato farmers to safe extra cost of input in potato farming. The potato production process was optimized by the application of factorial design 23 and response surface methodology. The combined effects of water, Nitrogen ... Show More
  • A Simple Conditional Approach for Generating Spatial Correlated Binary Data

    Renhao Jin, Tao Liu, Fang Yan, Jie Zhu

    Issue: Volume 4, Issue 4, July 2015
    Pages: 305-311
    Received: Jun. 29, 2015
    Accepted: Jul. 08, 2015
    Published: Jul. 17, 2015
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    Abstract: Generating a spatial random field in which the observations are binary random variables with a particular covariance function may be impossible, because there are restrictions on the parameters of Bernoulli variables. This paper develops a conditional method based from spatial GLMM for generating spatial correlated binary data, which can generate s... Show More
  • Spatial Correlation Analysis of 2013 Per capita GDP in the Area of Beijing, Tianjin and Hebei

    Renhao Jin, Tao Liu, Fang Yan, Jie Zhu

    Issue: Volume 4, Issue 4, July 2015
    Pages: 312-316
    Received: Jul. 01, 2015
    Accepted: Jul. 07, 2015
    Published: Jul. 17, 2015
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    Abstract: This paper is based on the Moran's I coefficient and Geary's c coefficient, and with the support of SAS statistical analysis software, using the spatial analysis of Beijing-Tianjin-Hebei’s per capita GDP and Geographical coordinates together. The research results show that the Moran's I coefficient is 0.098, Geary's c coefficient is 0.868, which is... Show More