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American Journal of Theoretical and Applied Statistics

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Volume 11, Issue 3, May 2022

  • Tuning a Model in Climatology and Calibrating One in Hydrogeology: An Informative Comparison

    R. A. Weitzman

    Issue: Volume 11, Issue 3, May 2022
    Pages: 83-88
    Received: 17 April 2022
    Accepted: 5 May 2022
    Published: 12 May 2022
    DOI: 10.11648/j.ajtas.20221103.11
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    Abstract: A November 2021 article in the journal Chance on a misuse of statistics by hydrogeologists in their modeling of water levels below ground raises the question of whether climatologists might be committing the same statistical errors in their modeling of global warming above ground. In seeking to answer that question, the research reported in this ar... Show More
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  • On the Coverage Properties of the Ratio Based Estimator in Presence of Non Response Error

    Charles Wanyingi Nderitu, Herbert Imboga, Samuel Mwangi Gathuka

    Issue: Volume 11, Issue 3, May 2022
    Pages: 89-93
    Received: 23 April 2022
    Accepted: 7 May 2022
    Published: 19 May 2022
    DOI: 10.11648/j.ajtas.20221103.12
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    Abstract: Sample surveys are taken with the assumption that all the sampled elements will respond. However, this is not always the case. Sometimes missing values occur in the survey data due to some reasons. In cases of such missing values, any inference from the data will survey from a non-response error. Therefore, the researcher needed to put all measures... Show More
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  • Population Dynamics and Africa’s Poise for Post-COVID-19 Growth: Panel Data Analysis

    Ayoola Femi Joshua, Gbadamosi Idris Isaac, Odularu Gbadebo Olusegun, Ikem Fidelis

    Issue: Volume 11, Issue 3, May 2022
    Pages: 94-101
    Received: 9 April 2022
    Accepted: 3 May 2022
    Published: 8 June 2022
    DOI: 10.11648/j.ajtas.20221103.13
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    Abstract: The outbreak of COVID-19 has led to an unprecedented impact on the health, population growth, and economic development of countries globally. The government in most countries came up with measures to curtail the spread of this deadly virus not minding its impacts on their economic growth and population growth. This study examined the relationship b... Show More
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  • Profile Likelihood Confidence Intervals for the Parameters of a Nonhomogeneous Poisson Process with Linear Rate

    Orawo Luke Akongo

    Issue: Volume 11, Issue 3, May 2022
    Pages: 102-108
    Received: 9 April 2022
    Accepted: 9 May 2022
    Published: 27 June 2022
    DOI: 10.11648/j.ajtas.20221103.14
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    Abstract: Nonhomogeneous Poisson Processes (NHPP) are commonly used to model count data where the rate of occurrence of events in a given time period is dependent on time. Examples exist in the literature where NHPP has been used to model real life count data for the purpose of parameter estimation and prediction. The most common methods used to obtain the p... Show More
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