Science Journal of Applied Mathematics and Statistics

Archive

Volume 3, Issue 5, October 2015

  • Spline Regression in the Estimation of the Finite Population Total

    Joseph Kipyegon Cheruiyot

    Issue: Volume 3, Issue 5, October 2015
    Pages: 214-224
    Received: 10 August 2015
    Accepted: 20 August 2015
    Published: 2 September 2015
    DOI: 10.11648/j.sjams.20150305.11
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    Abstract: This study sought to estimate finite population total using Spline regression function. It compared the Spline regression with Sample Mean estimator, design-based and model - based estimators. To measure the performance of each estimator, the study considered average bias, the efficiency by use of the mean square error and the robustness using the ... Show More
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  • Application of Logistic Regression Model in an Epidemiological Study

    Renhao Jin, Fang Yan, Jie Zhu

    Issue: Volume 3, Issue 5, October 2015
    Pages: 225-229
    Received: 13 July 2015
    Accepted: 22 July 2015
    Published: 17 September 2015
    DOI: 10.11648/j.sjams.20150305.12
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    Abstract: This paper use the logistic regression model to an epidemiological study, i.e. bovine tuberculosis (bTB) occurrence in cattle herds, together with well-established risk factors in the area known as West Wicklow, in the east of Ireland. The binary target variable is whether the herd is in the restricted status, which is defined by whether any bTB re... Show More
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  • Selection of the Samples with Probability Proportional to Size

    Maskurul Alam, Sharmin Akter Sumy, Yasin Ali Parh

    Issue: Volume 3, Issue 5, October 2015
    Pages: 230-233
    Received: 26 August 2015
    Accepted: 6 September 2015
    Published: 22 September 2015
    DOI: 10.11648/j.sjams.20150305.13
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    Abstract: It is manifested to all that sample size varies from unit to unit. It goes without saying that large units contain more apropos information than the smaller units. So if the unit size is larger then there is a greater possibility to choose sample from the large unit than smaller one. It actually means the probability of selecting a unit is positive... Show More
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