Version 1.2.X makes (Un)Perplexed Spready simultaneously AI‑powered, web‑connected, SQL‑capable, statistically strong, vision‑aware and privacy‑respecting—something no traditional spreadsheet alone can claim: matasoft.hr/qtrendcontro...
#AISpreadsheet #SQL #Statistics #AI #SpreadsheetAI

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aepiot.ro

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[Original post on libera.site]

Original post on mathstodon.xyz

Posted a blog entry on my current work, which is looking at how similar the stable distributions are to each other. The upshot is that translating a stable distribution along the axis has the minimal effect for α=1 (e.g.,the Cauchy distribution), and the maximal effect for very small α.

#math […]

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headlines-world.com

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Help me keep stats and server running! 💻📊 Even a small monthly […]

[Original post on libera.site]

#Peertube #Statistics 2026-03-29 17:00 CEST
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[Original post on libera.site]

#Misskey #Statistics 2026-03-29 17:00 CEST
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#Fediverse
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Original post on fediverse.one

Found 15 new servers and 26 servers died off since 7 hours ago

46,854 servers checked. 1,154,193 Monthly Active Users across the fediverse

Check out the #fediverse stats

History of servers found and deleted

Help others find a home, send them to fediverse.observer

#fediverse #statistics […]

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[Original post on libera.site]

robscale: Accelerated Estimation of Robust Location and Scale Estimates robust location and scale parameters using platform-specific Single Instruction, Multiple Data (SIMD) vectorization and Intel Threading Building Blocks (TBB) for parallel processing. Implements a novel variance-weighted ensemble estimator that adaptively combines all available statistics. Methods include logistic M-estimators, the estimators of Rousseeuw and Croux (1993), the Gini mean difference, the scaled Median Absolute Deviation (MAD), the scaled Interquartile Range (IQR), and unbiased standard deviations. Achieves substantial speedups over existing implementations through an 'Rcpp' backend with fused single-buffer algorithms that halve memory traffic for MAD and M-scale estimation, and a unified dispatcher that automatically selects the optimal estimator based on sample size.

stats::IQR

Mid-to-large samples (n ≥ 1000):

• robScale: 2–4× vs revss

• Sn: 7–9× vs robustbase

• MAD: 5–8× vs stats::mad

• IQR: 5–7× vs stats::IQR

• GMD: 2–8× vs GiniDistance

https://cran.r-project.org/package=robscale

https://github.com/davdittrich/robscale

#RStats #Statistics 3/4

Three-panel speedup plot. Panel A: robScale, robLoc, adm vs revss (4–5× at small n, 2–4× at large n). Panel B: Qn, Sn vs robustbase (up to 9× at large n). Panel C: GMD vs GiniDistance, IQR vs stats (37× at small n), MAD vs stats (26× at small n). Sample sizes n=3 to n=10 million.

robscale 0.5.3 is now on CRAN: A major update since the last public release (0.2.1).

New: 11 robust estimators with confidence intervals, plus a variance-weighted ensemble combining seven scale statistics via bootstrap. Newton–Raphson replaces scoring […]

[Original post on fediscience.org]

Experienced Customer Data Analyst Needed -- 2 Excel & Data Analysis Projects for $15-25 USD / hour. I’m looking for someone who can take our raw customer data and turn it into clear, action-oriented insight. Day-to-d

#Analytics #Data #Analysis #Data #Analytics #Excel #Python #QlikView #SQL #Statistics

Origin | Interest | Match

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Help me keep stats and server running! 💻📊 Even a small monthly […]

[Original post on libera.site]

#Peertube #Statistics 2026-03-29 13:00 CEST
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[Original post on libera.site]

#Misskey #Statistics 2026-03-29 13:00 CEST
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#Fediverse
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