American Journal of Theoretical and Applied Statistics

Volume 4, Issue 5, September 2015

  • Study of Multivariate Data Clustering Based on K-Means and Independent Component Analysis

    Md. Shamim Reza, Sabba Ruhi

    Issue: Volume 4, Issue 5, September 2015
    Pages: 317-321
    Received: Jul. 05, 2015
    Accepted: Jul. 17, 2015
    Published: Jul. 28, 2015
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    Abstract: For last two decades, clustering is well-recognized area in the research field of data mining. Data clustering plays the major research at pattern recognition, Signal processing, bioinformatics and Artificial Intelligence. Clustering process is an unsupervised learning techniques where it generates a group of object based on their similarity in suc... Show More
  • Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model

    Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu

    Issue: Volume 4, Issue 5, September 2015
    Pages: 322-328
    Received: Jul. 14, 2015
    Accepted: Jul. 24, 2015
    Published: Aug. 01, 2015
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    Abstract: Objectives: The aim of this study is to assess antenatal care service utilization and determine the factors associated with antenatal care non attendance in Nairobi County. Methods: The study used data that was collected in the county by use of questionnaires in which a total of 306 mothers participated. Data Analysis: The data was analyzed using R... Show More
  • Prediction Intervals for Progressive Type-II Right-Censored Order Statistics from Two Independent Sequences

    M. M. Mohie El-Din, M. S. Kotb, W. S. Emam

    Issue: Volume 4, Issue 5, September 2015
    Pages: 329-338
    Received: Mar. 18, 2015
    Accepted: Mar. 29, 2015
    Published: Aug. 03, 2015
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    Abstract: This article discusses the problem of predicting future progressive Type-II right censored order statistics based on progressive Type-II right-censored, ordered statistics, record values and current records that observed from the past X-sequence. Such coverage probabilities of the prediction intervals are exact and don’t depend on the sampling dist... Show More
  • Stochastic Modeling of a System with Maintenance and Replacement of Standby Subject to Inspection

    R. K. Bhardwaj, Komaldeep Kaur, S. C. Malik

    Issue: Volume 4, Issue 5, September 2015
    Pages: 339-346
    Received: Jul. 02, 2015
    Accepted: Jul. 21, 2015
    Published: Aug. 05, 2015
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    Abstract: The present paper develops a probabilistic model of a cold standby system considering the failure of unit in standby mode. Initially the model contains one unit in operation and another identical in cold standby mode. The unit in cold standby mode fails after passage of pre specified time and goes under inspection for feasibility check for maintena... Show More
  • Spatial Modelling of Disparity in Economic Activity and Unemployment in Southern and Oromia Regional States of Ethiopia

    Berisha Mekayhu Gelebo, Ayele Taye Goshu

    Issue: Volume 4, Issue 5, September 2015
    Pages: 347-358
    Received: Jul. 28, 2015
    Accepted: Aug. 08, 2015
    Published: Aug. 19, 2015
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    Abstract: Growth of productivity is the precondition to improve the living standard of people and maintain competitiveness in the globalized economy. However, wide regional deferential in labor force implies inefficiency as whole and might affect both aggregate unemployment and national output. The basic goal of this study was to model disparity in economic ... Show More
  • Modeling the Impact of Crude Oil Price Shocks on Some Macroeconomic Variables in Nigeria Using Garch and VAR Models

    Audu Isah, Husseini Garba Dikko, Ejiemenu Sarah Chinyere

    Issue: Volume 4, Issue 5, September 2015
    Pages: 359-367
    Received: Jul. 16, 2015
    Accepted: Jul. 24, 2015
    Published: Aug. 19, 2015
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    Abstract: This study investigated the impact of crude oil shocks (COP) on exchange rate (EXCHR), external reserves (EXRS), gross domestic product (GDP), inflation rate (INFL), international trade (INTR) and money supply (MSUP) in Nigeria with a quarterly data from 2000 to 2014 using GARCH and VAR models. From the analysis, all the variables were stationary a... Show More
  • Compare and Evaluate the Performance of Gaussian Spatial Regression Models and Skew Gaussian Spatial Regression Based on Kernel Averaged Predictors

    Somayeh Shahraki Dehsoukhteh

    Issue: Volume 4, Issue 5, September 2015
    Pages: 368-372
    Received: Jul. 31, 2015
    Accepted: Aug. 10, 2015
    Published: Aug. 19, 2015
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    Abstract: In many problems in the field of spatial statistics, when modeling the trend functions, predictors or covariates are available and the goal is to build a regression model to describe the relationship between the response and predictors. Generally, in spatial regression models, the trend function is often linear and it is assumed that the response m... Show More
  • An Application of Geostatistics to Analysis of Water Quality Parameters in Rivers and Streams in Niger State, Nigeria

    Isah Audu, Abdullahi Usman

    Issue: Volume 4, Issue 5, September 2015
    Pages: 373-388
    Received: Aug. 03, 2015
    Accepted: Aug. 17, 2015
    Published: Aug. 26, 2015
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    Abstract: Assessment of surface water quality using multivariate statistical techniques does not incorporate the spatial locations of data into their defining computations. Information on spatial continuity of surface water concentrations can help in identifying the magnitude of contamination by runoff and anthropogenic pollutions. In the present study, spat... Show More
  • Identifying Factors for Marriage Breakdown at Debre Birhan Town of Ethiopia: Logistic and Survival Analysis

    Getahun Mulugeta

    Issue: Volume 4, Issue 5, September 2015
    Pages: 389-395
    Received: Aug. 12, 2014
    Accepted: Nov. 13, 2014
    Published: Sep. 07, 2015
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    Abstract: Marriage breakdown is a condition in which partners of a marital union cease to live together especially due to divorce or separation. The main objective of this study is identifying factors for marriage breakdown. To achieve this sample of 576 respondents was taken using stratified random sampling method, during March 2012. From descriptive statis... Show More
  • Estimation of Population Total Using Spline Functions

    Gladys Gakenia Njoroge

    Issue: Volume 4, Issue 5, September 2015
    Pages: 396-403
    Received: Aug. 17, 2015
    Accepted: Aug. 29, 2015
    Published: Sep. 09, 2015
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    Abstract: This study sought to estimate finite population total using spline functions. The emerging patterns from spline smoother were compared with those that were obtained from the model-based, the model-assisted and the non-parametric estimators. To measure the performance of each estimator, three aspects were considered: the average bias, the efficiency... Show More
  • Determination of Infant and Child Mortality in Kenya Using Cox-Proportional Hazard Model

    Daniel Mwangi Muriithi, Dennis K. Muriithi

    Issue: Volume 4, Issue 5, September 2015
    Pages: 404-413
    Received: Aug. 21, 2015
    Accepted: Sep. 01, 2015
    Published: Sep. 11, 2015
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    Abstract: One of the Millennium Development Goals is the reduction of infant and child mortality by two-thirds by year 2015. To achieve this goal, efforts need be concentrated at identifying cost-effective strategies as many international agencies have advocated for more resources to be directed to health sector. One way of doing this is to identify the impo... Show More
  • Identifying the Limitation of Stepwise Selection for Variable Selection in Regression Analysis

    Akinwande Michael Olusegun, Hussaini Garba Dikko, Shehu Usman Gulumbe

    Issue: Volume 4, Issue 5, September 2015
    Pages: 414-419
    Received: Jul. 25, 2015
    Accepted: Aug. 06, 2015
    Published: Sep. 18, 2015
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    Abstract: In application, one major difficulty a researcher may face in fitting a multiple regression is the problem of selecting significant relevant variables, especially when there are many independent variables to select from as well as having in mind the principle of parsimony; a comparative study of the limitation of stepwise selection for selecting va... Show More