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    Comments on “Short-Term Precipitation and Temperature Trends along an Elevation Gradient in Northeastern Puerto Rico”

    Source: Earth Interactions:;2017:;volume( 021 ):;issue: 006::page 1
    Author:
    Torres-Valcárcel, Angel R.;Gonzalez-Avilés, Cesar
    DOI: 10.1175/EI-D-16-0018.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe selection of statistical methods to evaluate data depends on study questions and characteristics of available data. In climate science, some methods are more popularly used than others; however, the use of applicable alternative methods does not invalidate study findings. Regardless of limitations, some methods like Pearson ordinary correlation are widely used in all sciences including climate and by scientists at government agencies like NOAA and the USGS. In addition, the use of the robust Student?s t test is valid for near-Gaussian distributions with high sample numbers, since it is resistant to data distribution inconsistencies. We wish to put in context the citation about our article and clarify the methods and justification for using them and to educate readers about the use of some conventional statistical tools and tests.
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      Comments on “Short-Term Precipitation and Temperature Trends along an Elevation Gradient in Northeastern Puerto Rico”

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    contributor authorTorres-Valcárcel, Angel R.;Gonzalez-Avilés, Cesar
    date accessioned2018-01-03T11:00:00Z
    date available2018-01-03T11:00:00Z
    date copyright6/29/2017 12:00:00 AM
    date issued2017
    identifier otherei-d-16-0018.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245858
    description abstractAbstractThe selection of statistical methods to evaluate data depends on study questions and characteristics of available data. In climate science, some methods are more popularly used than others; however, the use of applicable alternative methods does not invalidate study findings. Regardless of limitations, some methods like Pearson ordinary correlation are widely used in all sciences including climate and by scientists at government agencies like NOAA and the USGS. In addition, the use of the robust Student?s t test is valid for near-Gaussian distributions with high sample numbers, since it is resistant to data distribution inconsistencies. We wish to put in context the citation about our article and clarify the methods and justification for using them and to educate readers about the use of some conventional statistical tools and tests.
    publisherAmerican Meteorological Society
    titleComments on “Short-Term Precipitation and Temperature Trends along an Elevation Gradient in Northeastern Puerto Rico”
    typeJournal Paper
    journal volume21
    journal issue6
    journal titleEarth Interactions
    identifier doi10.1175/EI-D-16-0018.1
    journal fristpage1
    journal lastpage4
    treeEarth Interactions:;2017:;volume( 021 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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