American Journal of Theoretical and Applied Statistics

Volume 6, Issue 2, March 2017

  • Small Area Estimation of Poverty Incidence with Sampling Error Variances Through Generalized Variance Function

    Norberto Espejo Milla

    Issue: Volume 6, Issue 2, March 2017
    Pages: 72-78
    Received: Dec. 30, 2016
    Accepted: Jan. 12, 2017
    Published: Feb. 27, 2017
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    Abstract: Small area estimation based on area level models, particularly the EBLUP method, typically assumes that sampling error variances of the direct survey small area estimates are known. In practice, the sampling error variances are unknown. This paper generates EBLUP estimates of poverty incidence when the sampling error variances are estimated using t... Show More
  • Sequentially Selecting Between Two Experiment for Optimal Estimation of a Trait with Misclassification

    George Matiri, Kennedy Nyongesa, Ali Islam

    Issue: Volume 6, Issue 2, March 2017
    Pages: 79-89
    Received: Jan. 18, 2017
    Accepted: Feb. 03, 2017
    Published: Feb. 27, 2017
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    Abstract: The idea of pool testing originated with Dorfman during the World War II as an economical method of testing blood samples of army inductees in order to detect the presence of infection. Dorfman proposed that rather than testing each blood sample individually, portions of each of the samples can be pooled and the pooled sample tested first. If the p... Show More
  • Scale Independent Principal Component Analysis and Factor Analysis with Preserved Inherent Variability of the Indicators

    Priyadarshana Dharmawardena, Raphel Ouseph Thattil, Sembakutti Samita

    Issue: Volume 6, Issue 2, March 2017
    Pages: 90-94
    Received: Feb. 02, 2017
    Accepted: Feb. 17, 2017
    Published: Mar. 02, 2017
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    Abstract: Principal Component Analysis (PCA) and Factor Analysis (FA) are common multivariate techniques used for dimensionality reduction. With these techniques it is expected to identify actual number of dimensions while accounting almost all observed variability. Standard PCA is based either on correlation matrix (CORM) or covariance matrix (COVM). When i... Show More
  • Comparative Analysis on EWMA and Poisson Cusum Chart in the Assessment of Road Traffic Crashes (RTC) in Osun State Nigeria

    Faweya Olanrewaju, Ogunwale Olukunle Daniel, Adeniran Adefemi Tajudeen

    Issue: Volume 6, Issue 2, March 2017
    Pages: 95-99
    Received: Oct. 14, 2016
    Accepted: Jan. 31, 2017
    Published: Mar. 10, 2017
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    Abstract: This study examines the daily Road Traffic Crashes (RTC) casualties in Osun state of Nigeria, Comparison of two quality control schemes identified as exponential Weighted Moving Average (EWMA) and Poisson Cumulative sum (CUSUM) control chart techniques were made using data collected from Federal Road Safety Corps (FRSC) Osun-State over a period 120... Show More
  • The Impact of Demographic and Risk Behavioural Factors on the Prevalence of HIV/AIDS in Butajira, Ethiopia

    Kassaye Wudu Seid, Yoseph Tadesse Dessie

    Issue: Volume 6, Issue 2, March 2017
    Pages: 100-107
    Received: Nov. 12, 2016
    Accepted: Feb. 27, 2017
    Published: Mar. 18, 2017
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    Abstract: The study aims at describing the impacts of some demographic and risk behavior factors. The data for this study were taken from Butajira Hospital and data were analyzed using SPSS. In this study, chi square test of association is employed to test the association between determinant factors and the prevalence of HIV/AIDS in Butajira, Ethiopia. The r... Show More
  • Application of Central Composite Design Based Response Surface Methodology in Parameter Optimization of Watermelon Fruit Weight Using Organic Manure

    Dennis K. Muriithi, J. K. Arap Koske, Geofrey K. Gathungu

    Issue: Volume 6, Issue 2, March 2017
    Pages: 108-116
    Received: Jan. 17, 2017
    Accepted: Feb. 08, 2017
    Published: Mar. 18, 2017
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    Abstract: Response Surface Methodology (RSM) is a critical technology in developing new processes, optimizing their performance and improving the design. In Kenya, watermelon cultivation is gradually gaining ground. It is a crop with huge economic importance to man as well as highly nutritious, sweet and thirst- quenching. In order to increase crop productio... Show More
  • On Bootstrap Confidence Intervals Associated with Nonparametric Regression Estimators for A Finite Population Total

    Nicholas Makumi, Romanus Odhiambo, George Otieno Orwa, Stellamaris Adhiambo

    Issue: Volume 6, Issue 2, March 2017
    Pages: 117-122
    Received: Feb. 17, 2017
    Accepted: Mar. 01, 2017
    Published: Mar. 21, 2017
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    Abstract: The precision of an estimator is at times discussed regarding the variance. Usually, the exact value of the variance is unknown. The discussion relies on unknown populace quantities. When a researcher obtains the survey data, an estimate of the variance can, therefore, be calculated. When survey results are presented, it is good practice to provide... Show More
  • Determinants and Spatial Modeling of Acute Respiratory Infections (ARI) Among Children Less Than Five Years in Kenya

    Kinyua Ann Muthoni, Oscar Owino Ngesa

    Issue: Volume 6, Issue 2, March 2017
    Pages: 123-128
    Received: Feb. 20, 2017
    Accepted: Mar. 01, 2017
    Published: Mar. 21, 2017
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    Abstract: Bayesian disease mapping is a field of statistics that is used to model the spatial distribution of disease outcomes especially in application to studies in spatial biostatistics and also as a tool to help develop the required intervention strategies. In this study, we perform a spatial modeling of ARI among children less than five years in Kenya u... Show More