• Login
    View Item 
    •   TAMU-CC Repository Home
    • TAMU-CC Theses, Dissertations, and Graduate Projects
    • Theses
    • View Item
    •   TAMU-CC Repository Home
    • TAMU-CC Theses, Dissertations, and Graduate Projects
    • Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Calculating Kendall's Tau with multiple measurements

    Thumbnail
    View/Open
    Geller_Adam_thesis.pdf (391.9Kb)
    Date Issued
    2018-05
    Author
    Geller, Adam
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/1969.6/31357
    Abstract
    Relationships between time series of environmental variables are commonly calculated using non-parametric methods, such as Kendall’s τ, because of ”non-detects”, i.e., left-censored data that falls below a measurement limit. However, these methods are not well-adapted to situations where variables have multiple contemporaneous measurements. In this thesis, we define a new method, τ ̃, in an attempt to calculate correlations using each of the multiple measurements instead of daily means. We investigate τ ̃ using two methods: simulations that approximate a null distribution for τ ̃ and closed form calculations for a specific special case. We also apply τ ̃ to an actual data set. The results of our investigation shows that τ ̃ may handle certain things, such as outliers, better than current methods. However, its requirements for distributional assumptions about the data make it a less practical option for real data. Further work could explore ways to avoid the prerequisite need for distribution knowledge and could also further investigate τ ̃ under noise sampled from asymmetric distributions.
    Rights
    This material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with its source. All rights are reserved and retained regardless of current or future development or laws that may apply to fair use standards. Permission for publication of this material, in part or in full, must be secured with the author and/or publisher.
    Collections
    • College of Science and Engineering Theses and Dissertations
    • Theses

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    TDL
    Theme by 
    Atmire NV
     

     

    Browse

    All of TAMU-CC RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDepartmentsThis CollectionBy Issue DateAuthorsTitlesSubjectsDepartments

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    TDL
    Theme by 
    Atmire NV