International Journal of Data Science and Analysis

Volume 6, Issue 1, February 2020

  • Estimating Total Energy Demand from Incomplete Data Using Non-parametric Analysis

    Benard Mworia Warutumo, Pius Nderitu Kihara, Levi Mbugua

    Issue: Volume 6, Issue 1, February 2020
    Pages: 1-11
    Received: Nov. 12, 2019
    Accepted: Dec. 06, 2019
    Published: Jan. 08, 2020
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    Abstract: The validity and usefulness of empirical data requires that the data analyst ascertains the cleanliness of the collected data before any statistical analysis commence. In this study, petroleum demand data for a period of 24 hours was collected from 1515 households in 10 clusters. The primary sampling units were stratified into three economic classe... Show More
  • Impact of Loss and Gain Forecasting on the Behavior of Pricing Decision-making

    Inga Toma, Dursun Delen, Gregory Moscato

    Issue: Volume 6, Issue 1, February 2020
    Pages: 12-19
    Received: Dec. 29, 2019
    Accepted: Jan. 08, 2020
    Published: Feb. 04, 2020
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    Abstract: Recent forecasting research has shown a paradigm shift from algorithm aversion to appreciation. Despite growing trust in technological decision support, business decisions are often made based on gut feeling and intuition, ignoring part or all of the available data and information. Creating effective decision support solutions necessitates the unde... Show More
  • Using Data Mining Techniques and R Software to Analyze Crime Data in Kenya

    Stephen Mangara Wainana, Joseph Njuguna Karomo, Rachael Kyalo, Noah Mutai

    Issue: Volume 6, Issue 1, February 2020
    Pages: 20-31
    Received: Jan. 08, 2020
    Accepted: Jan. 31, 2020
    Published: Feb. 14, 2020
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    Abstract: Crimes have been the most dangerous threat to peace, development, human right, social, political and economic stability in Kenya. There is a great need to eradicate crime to facilitate development and counter all vices that are caused by crime. Efficient management of crime requires an adequate understanding of the patterns in which crime occur to ... Show More
  • Haversine Formula and RPA Algorithm for Navigation System

    Nyein Chan Soe, Thin Lai Lai Thein

    Issue: Volume 6, Issue 1, February 2020
    Pages: 32-40
    Received: Jan. 22, 2020
    Accepted: Feb. 11, 2020
    Published: Feb. 19, 2020
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    Abstract: The system uses a geographic information system to analyze and monitor traffic congestion and use GPS data for public transport planning in Yangon, Myanmar. The system provides accurate maps for estimating traffic conditions more efficiently from GPS data, saving more time. The proposed system displays changes in the position, distance and directio... Show More
  • Comparative Analysis of the Cox Semi-parametric and Weibull Parametric Models on Colorectal Cancer Data

    Usman Umar, Marafa Haliru Muhammad

    Issue: Volume 6, Issue 1, February 2020
    Pages: 41-47
    Received: Jan. 26, 2020
    Accepted: Feb. 13, 2020
    Published: Mar. 17, 2020
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    Abstract: The survival and hazard functions are key concepts in survival analysis for describing the distribution of event times. The survival function gives, for every time, the probability of surviving (or not experiencing the event). The hazard function gives the potential that the event will occur, per time unit, given that an individual has survived up ... Show More
  • Comparative Analysis of Sarima and Setar Models in Predicting Pneumonia Cases in Kenya

    Fredrick Agwata Nyamato, Anthony Wanjoya, Thomas Mageto

    Issue: Volume 6, Issue 1, February 2020
    Pages: 48-57
    Received: Feb. 24, 2020
    Accepted: Mar. 06, 2020
    Published: Mar. 18, 2020
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    Abstract: Kenya is a country located in Eastern part of Africa with approximate population of 46.5 million, with majority of the population constituting youths under the age of 35 years. The country has experienced increased morbidity rate arising from Pneumonia disease like other countries all over the world. As per recent studies 2 million children lose li... Show More
  • Bayesian Trivariate Analysis of an Opinion Poll: With Application to the Kenyan Pollss

    Jeremiah Kiingati, Samuel Mwalili, Anthony Waititu

    Issue: Volume 6, Issue 1, February 2020
    Pages: 58-63
    Received: Jan. 15, 2020
    Accepted: Feb. 04, 2020
    Published: Mar. 24, 2020
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    Abstract: There has been a growing interest by political pundits and scholars alike to predict the winner of the presidential elections. Although forecasting has now quite a history, we argue that the closeness of recent Kenyan presidential opinion polls and the wide accessibility of data should change how presidential election forecasting is conducted. We p... Show More