UCL Research Data Repository2026 · dataset
Cheatsheet Statistik dan Probabilitas<blockquote><p dir="ltr"><b>Deskripsi:</b></p><p dir="ltr">Cheatsheet ini adalah <b>dokumen pendamping (companion)</b> untuk ebook <i>"Statistik dan Probabilitas: Dijelasin Pelan-Pelan — Dari Nol Sampai Paham"</i>. Jika ebook utamanya berfungsi sebagai <b>penjelasan naratif lengkap</b> dengan cerita, analogi, dan contoh hitung langkah demi langkah, maka cheatsheet ini adalah <b>ringkasan cepat</b>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Sharp Design Thresholds for Identifying Heterogeneous Bernoulli–Logit Sources under Unknown Additive Noise<p dir="ltr">This preprint establishes identifiability thresholds for heterogeneous Bernoulli–logit models observed with unknown additive noise. It gives sharp bounds on the number of experimental settings, using either a bound on rate diversity or a bound on the number of components. It also classifies exceptional four-setting designs for common-rate models with at most seven components and treat
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Dataset supporting Statistical Departure Vectors: A Domain-Oriented Framework for Detection and Characterization of Heterogeneous Alternatives<p dir="ltr">This dataset supports the development and evaluation of the <b>Statistical Departure Vector (SDV)</b>, a statistical methodology for detecting and characterizing heterogeneous departures from a reference model. SDV represents interpretable departure domains—including location, covariance, distributional shape, and temporal dependence—in a common standardized multivariate space. The re
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Data for Mapping the Research Landscape of Statistical Literacy, 2000–2025 Item<p dir="ltr">This dataset contains the core and extended OpenAlex-derived corpora, derived bibliometric tables, and six figures used in a bibliometric and thematic analysis of statistical literacy research from 2000 to 2025. Author: Zhangyi Ge (ORCID 0009-0009-6495-7219), School of Economics and Finance, Shanghai International Studies University.</p>