American Journal of Theoretical and Applied Statistics

Volume 7, Issue 6, November 2018

  • Impact of Family and Student Factors on Student Attitude Towards Reading in Governmental and Non-Governmental High School of Debre Birhan City

    Gebremedhin Desta

    Issue: Volume 7, Issue 6, November 2018
    Pages: 200-206
    Received: 4 September 2018
    Accepted: 20 September 2018
    Published: 24 October 2018
    DOI: 10.11648/j.ajtas.20180706.11
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    Abstract: Reading is the identification of the symbols and the association of appropriate meaning with them. It requires identification and comprehension. Comprehension skills help the learner to understand the meaning of words in isolation and in context. The purpose of this research is to determine the reading attitudes and Impact of Family and Students Fa... Show More
  • Factors Associated with Gastric Disease Among Students of Hawassa University: The Case of College of Agriculture Students

    Demisew Gebru

    Issue: Volume 7, Issue 6, November 2018
    Pages: 207-214
    Received: 21 August 2018
    Accepted: 15 October 2018
    Published: 29 October 2018
    DOI: 10.11648/j.ajtas.20180706.12
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    Abstract: Gastritis affect a person in any sex, age, race and living status even if it is common among adolescent. Unless treated promptly and completely, it can continue to cause problems throughout the person’s life. This study aimed to measure the prevalence of gastritis and assessed associated factors in Hawassa University of College of Agriculture. Cros... Show More
  • National Innovation Systems Archetypal Analysis

    Joseph Gogodze

    Issue: Volume 7, Issue 6, November 2018
    Pages: 215-221
    Received: 7 September 2018
    Accepted: 18 September 2018
    Published: 31 October 2018
    DOI: 10.11648/j.ajtas.20180706.13
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    Abstract: The national innovation system (NIS) determines the innovation capability of a country, and its economic development. However, recently, very little is known regarding the determinants of NIS functioning in various countries. Probably the easiest way to obtain such an understanding is to begin with the structural representation of the NIS. Particul... Show More
  • The Performance of Model Fit Indices for Class Enumeration in Multilevel Factor Mixture Models

    Miao Gao, Walter Leite, Jinxiang Hu

    Issue: Volume 7, Issue 6, November 2018
    Pages: 222-228
    Received: 2 October 2018
    Accepted: 16 October 2018
    Published: 1 November 2018
    DOI: 10.11648/j.ajtas.20180706.14
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    Abstract: Factor mixture models combine the common factor model and latent class analysis. Given that multilevel data structures are very common in educational and social research, the multilevel factor mixture model (ML FMM) is appropriate for analyzing nested measurement data when population heterogeneity is unobserved. This simulation study aims to invest... Show More
  • Identifying Determinants of Vaccination Status of Under Five Children in South Omo Zone, SNNPR, Ethiopia

    Belayneh Debasu Kelkay, Kassaye Wudu Seid

    Issue: Volume 7, Issue 6, November 2018
    Pages: 229-234
    Received: 25 August 2018
    Accepted: 12 October 2018
    Published: 6 November 2018
    DOI: 10.11648/j.ajtas.20180706.15
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    Abstract: Vaccination is the administration of antigenic material (a vaccine) to stimulate an individual's immune system to develop adaptive immunity to a pathogen. The aim of this study was to analyze the determinant factor of vaccination status of under five children in South Omo zone, SNNPR, Ethiopia using binary logistic regression model. Thus from 174 c... Show More
  • Response Surface Methodology in Application of Optimal Manufacturing Process of Axial-Flow Fans Adopted by Modern Industries

    Cheruiyot Chepkeitany Joseph, Waititu Anthony, Wanjoya Anthony

    Issue: Volume 7, Issue 6, November 2018
    Pages: 235-241
    Received: 2 October 2018
    Accepted: 19 October 2018
    Published: 6 November 2018
    DOI: 10.11648/j.ajtas.20180706.16
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    Abstract: Response surface methodology (RSM) is a collection of mathematical and statistical techniques that help in model building and analysis of problems in which a response (output variable) of interest is influenced by numerous factors (independent variables) with the objective of optimizing this response. It is widely used in many disciplines such as M... Show More
  • Using Excel to Simulate and Visualize Conditional Heteroskedastic Models

    William Henry Laverty, Ivan William Kelly

    Issue: Volume 7, Issue 6, November 2018
    Pages: 242-246
    Received: 29 October 2018
    Accepted: 21 November 2018
    Published: 18 December 2018
    DOI: 10.11648/j.ajtas.20180706.17
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    Abstract: Longitudinal data are available in many disciplines, and quite often the mechanism generating the data are changing over time. These changes must be accounted for when modelling the data and subsequently drawing conclusions from the data. The three statistical models described in this article (GARCH, HMM, ARHMM) are appropriate modelling data with ... Show More
  • Modeling the Residuals of Financial Time Series with Missing Values for Risk Measures Using R

    Udokang Anietie Edem, Ugwuowo Fidelis Ifeanyi

    Issue: Volume 7, Issue 6, November 2018
    Pages: 247-255
    Received: 30 November 2018
    Accepted: 14 December 2018
    Published: 10 January 2019
    DOI: 10.11648/j.ajtas.20180706.18
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    Abstract: This paper is to fit an appropriate model on the returns of daily stock price and determine the appropriate model for the residuals in order to compute some risk measures. The daily stock price of First Bank Nigeria, Plc was collected from Nigerian Stock Exchange Market. The methods of weekly average, regression imputation and repetition were used ... Show More