What The Heck is Stationarity

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  • Опубліковано 1 січ 2025

КОМЕНТАРІ • 18

  • @create_space812
    @create_space812 6 років тому +1

    This video has the most intuitive, accurate and clear explanation! I have found a hidden gem!

  • @arurirorivs
    @arurirorivs 4 роки тому +6

    For everyone that was expecting to find more videos, you can check his book An Introduction to Applied Geostatistics (1989), easy and even more explained. Thank you Edward. (:

  • @sandrinadefatimacarretafon4309
    @sandrinadefatimacarretafon4309 7 років тому +9

    I never wrote a comment on youtube , but you Sir. deserve it. I just would like to thank so much for preparing this notes, it really helped to understand topics that were very difficult for me to understand. Please keep posting, and may GOD bless you.

  • @moeal3188
    @moeal3188 9 років тому +1

    Very well explained, direct to the point, and simple language that everybody can understand. It's sad to see professionals from various industries are using geostatistics softwares on daily basis without understating the concept of data stationarity. Again, I would like to thank you for taking the time to prepare the video. I can't wait to see your next video in regard to handling difficult datasets.

  • @faisalsayeed3883
    @faisalsayeed3883 7 років тому +2

    Excellent video, you explained what has been perplexing me for years. I can't wait for your next video showing how to work with difficult data.

  • @RyanMckennahello
    @RyanMckennahello 6 років тому +1

    Superb! I'm teaching myself geostatistics as part of my PhD, your videos have been a fantastic help. Thank you!

  • @andrescanales4562
    @andrescanales4562 3 роки тому

    Excellent explanations sir, thank you so much

  • @rrmm122
    @rrmm122 7 років тому

    Wonderful illustration of non-stationary RV. It's really helpful to understand the basics of this concept. Very relevant to analyzing time series data as well. Look forward to your next video.

  • @keithwhitchurch2764
    @keithwhitchurch2764 9 років тому

    Thanks for this Edward - its most well prepared and most approachable.

  • @subStuff
    @subStuff 9 років тому

    Immensely appreciate your time in preparing the video! Looking forward to the next one.

  • @ProfBoggs
    @ProfBoggs 3 роки тому

    So stationarity is the lack of any spatial autocorrelation, be it positive or negative! Thanks for this clear and well-structured explanation.

  • @JaimeBayes
    @JaimeBayes 9 років тому

    Thanks Edward, easy to follow and understandable.

  • @chuchuzhu333
    @chuchuzhu333 6 років тому

    Such an explanatory video, thank you, sir!

  • @Don.Challenger
    @Don.Challenger 8 років тому

    Fine piece of work. Thanks for your efforts.

  • @a.ibrahim2560
    @a.ibrahim2560 8 місяців тому

    I wish you were my professor, dear sir

  • @zoozolplexOne
    @zoozolplexOne 3 роки тому

    cool !!

  • @robertomatsumotocobra7684
    @robertomatsumotocobra7684 5 років тому

    Thanks!