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#distributions — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #distributions, aggregated by home.social.

  1. #Freshwater #lakes,like #Flughafensee #Berlin, play a complex #role in #globalwarming. Their #sediments are important #carbonsinks. However, they also release #CO2/#methane through microorganism activities. Furthermore, #lakeswarmup faster than surrounding air. L. Huang et al.(2024) address this and predict #shifts in #aquaticspecies #distributions and rearrangements of #freshwaterhabitats.
    ©#StefanFWirth

    Please support me:
    ko-fi.com/sfwirth

    Ref
    doi.org/10.1038/s41561-024-014

    Photos
    ©S.F.Wirth

  2. #30DayChartChallenge Día 12: Gov Data Day! 🏛️ Explorando la distribución del spread 10Y-2Y del Tesoro USA (datos de FRED desde 1976).

    Este histograma/densidad va más allá del valor diario: muestra la *probabilidad* histórica de cada nivel del spread. ¡Clave para entender expectativas económicas!

    Puntos clave:
    * Modo principal > 0 (curva normal es lo más común).
    * ¡La inversión (<0, línea discontinua) tiene una probabilidad no trivial! ⚠️ Es la famosa señal pre-recesión. La distribución nos dice cuán "normal" es esa señal en perspectiva histórica.
    * La forma general revela info sobre la dinámica de tipos.

    Una visualización sobre la estructura probabilística de un indicador líder fundamental.

    🛠️ #rstats #ggplot2 #quantmod #grid
    📂 Código/Repo: t.ly/0RDmK

    #Day12 #Distributions #datagov #dataviz #DataVisualization #YieldCurve #InterestRates #Economics #Finance #Recession #DataAnalysis #ggplot2

  3. `Intuitively, if the restricted #estimator is near the maximum of the #likelihood function, the score should not differ from zero by more than sampling error. While the finite sample #distributions of score tests are generally unknown, they have an #asymptotic χ2-distribution under the null #hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical #significance.`

    en.wikipedia.org/wiki/Score_te

    #statistics #stats #significanceTest #significanceTesting

  4. `Intuitively, if the restricted #estimator is near the maximum of the #likelihood function, the score should not differ from zero by more than sampling error. While the finite sample #distributions of score tests are generally unknown, they have an #asymptotic χ2-distribution under the null #hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical #significance.`

    en.wikipedia.org/wiki/Score_te

    #statistics #stats #significanceTest #significanceTesting

  5. `Intuitively, if the restricted #estimator is near the maximum of the #likelihood function, the score should not differ from zero by more than sampling error. While the finite sample #distributions of score tests are generally unknown, they have an #asymptotic χ2-distribution under the null #hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical #significance.`

    en.wikipedia.org/wiki/Score_te

    #statistics #stats #significanceTest #significanceTesting

  6. `Intuitively, if the restricted #estimator is near the maximum of the #likelihood function, the score should not differ from zero by more than sampling error. While the finite sample #distributions of score tests are generally unknown, they have an #asymptotic χ2-distribution under the null #hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical #significance.`

    en.wikipedia.org/wiki/Score_te

    #statistics #stats #significanceTest #significanceTesting

  7. Does anyone have any idea if it exists a comprehensive list of different #Linux #distros and their basic features?

    I mean something like an #AwesomeDistros repository, or (even better) a filterable and searchable #database / #dataset

    #FLOSS #Distributions #OS #OSOS #Unix #GNOME #KDE #X11 #Arch #Manjaro #LinuxMint #Ubuntu #Debian

    CC: @ademalsasa @9to5linux @aral @mirkobrombin

  8. #Kurtosis was an important #parameter differentiating #size distributions, with #platykurtic distributions in #marls and #leptokurtic distributions in #limestones, suggesting that this parameter may reflect different degrees of #time #averaging. Most size #distributions were positively #skewed, but most strongly in marls. Complete #sampling led to #skewness values close to zero (#symmetrical distributions) and high kurtosis.

    doi.org/10.2110/palo.2021.063