corpus.blog
41554 blogs · [ { "id": "01a0871e-36ca-731f-9a50-c90495a7a4c9", "title": "Quantile absolute deviation of the Normal distribution", "url": "https://aakinshin.net/posts/qad-normal/", "published_at": "2022-08-24T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90495ea9600", "title": "Standard quantile absolute deviation", "url": "https://aakinshin.net/posts/sqad/", "published_at": "2022-08-23T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904963ffb5c", "title": "Asymptotic Gaussian efficiency of the quantile absolute deviation", "url": "https://aakinshin.net/posts/qad-are/", "published_at": "2022-08-16T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049650ca09", "title": "Finite-sample efficiency of the Rousseeuw-Croux estimators", "url": "https://aakinshin.net/posts/rousseeuw-croux-finite-efficiency/", "published_at": "2022-08-09T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90496c994e9", "title": "Caveats of using the median absolute deviation", "url": "https://aakinshin.net/posts/mad-caveats/", "published_at": "2022-08-02T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90497193c08", "title": "Preprint announcement: 'Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification'", "url": "https://aakinshin.net/posts/preprint-mad-factors/", "published_at": "2022-07-26T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90497513c1f", "title": "Challenges of change point detection in CI performance data", "url": "https://aakinshin.net/posts/cpd-perf-challenges/", "published_at": "2022-07-19T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90497e72660", "title": "Dynamical System Case Study 2 (Piecewise linear LLL-system)", "url": "https://aakinshin.net/posts/dscs2/", "published_at": "2022-07-17T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90498d470e8", "title": "Degenerate point of dispersion estimators", "url": "https://aakinshin.net/posts/degenerate-point/", "published_at": "2022-07-12T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904997905a5", "title": "Untied quantile absolute deviation", "url": "https://aakinshin.net/posts/uqad/", "published_at": "2022-07-05T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c90499ac3cca", "title": "Middle non-zero quantile absolute deviation, Part 2", "url": "https://aakinshin.net/posts/mnzqad2/", "published_at": "2022-06-28T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049a9a7ca3", "title": "The expected number of takes from a discrete distribution before observing the given element", "url": "https://aakinshin.net/posts/expected-discrete-takes/", "published_at": "2022-06-21T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049b202d54", "title": "Folded medians", "url": "https://aakinshin.net/posts/folded-medians/", "published_at": "2022-06-14T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049bcf6453", "title": "Gastwirth's 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"2022-05-24T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049e585555", "title": "Statistical efficiency of the Hodges-Lehmann median estimator, Part 1", "url": "https://aakinshin.net/posts/hodges-lehmann-efficiency1/", "published_at": "2022-05-17T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049ef6d306", "title": "Expected value of the maximum of two standard half-normal distributions", "url": "https://aakinshin.net/posts/expected-max-half-normal/", "published_at": "2022-05-10T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c9049fbf0912", "title": "Expected value of the minimum of two standard half-normal distributions", "url": "https://aakinshin.net/posts/expected-min-half-normal/", "published_at": "2022-05-03T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a0bbbc62", "title": "Unbiased median absolute deviation for n=2", "url": "https://aakinshin.net/posts/unbiased-mad-n2/", "published_at": "2022-04-26T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a1427fdb", "title": "Weighted trimmed Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/wthdqe/", "published_at": "2022-04-19T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a23363bd", "title": "Minimum meaningful statistical level for the Mann–Whitney U test", "url": "https://aakinshin.net/posts/post-mann-whitney-min-stat-level/", "published_at": "2022-04-12T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a2cdf2a9", "title": "Fence-based outlier detectors, Part 2", "url": "https://aakinshin.net/posts/fenced-outlier-detectors2/", "published_at": "2022-04-05T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a2fb5d97", "title": "Fence-based outlier detectors, Part 1", "url": "https://aakinshin.net/posts/fenced-outlier-detectors1/", "published_at": "2022-03-29T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a3ca2f1a", "title": "Publication announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width'", "url": "https://aakinshin.net/posts/pub-thdqe/", "published_at": "2022-03-22T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a4c43ed9", "title": "Asymmetric decile-based outlier detector, Part 2", "url": "https://aakinshin.net/posts/asymmetric-decile-outliers2/", "published_at": "2022-03-15T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a55e9b15", "title": "Asymmetric decile-based outlier detector, Part 1", "url": "https://aakinshin.net/posts/asymmetric-decile-outliers1/", "published_at": "2022-03-08T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a596d065", "title": "Probability of observing outliers using Tukey's fences", "url": "https://aakinshin.net/posts/tukey-outlier-probability/", "published_at": "2022-03-01T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a624a1bd", "title": "Gamma effect size powered by the middle non-zero quantile absolute deviation", "url": "https://aakinshin.net/posts/gamma-es-mnzqad/", "published_at": "2022-02-22T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a6edaa11", "title": "Middle non-zero quantile absolute deviation", "url": "https://aakinshin.net/posts/mnzqad/", "published_at": "2022-02-15T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a6f83c93", "title": "Unbiased median absolute deviation based on the trimmed Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/unbiased-mad-thd/", "published_at": "2022-02-08T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a7c2709b", "title": "Median absolute deviation vs. Shamos estimator", "url": "https://aakinshin.net/posts/mad-vs-shamos/", "published_at": "2022-02-01T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a7eede16", "title": "Moving extended P² quantile estimator", "url": "https://aakinshin.net/posts/moving-ex-p2-quantile-estimator/", "published_at": "2022-01-25T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a81ff0c7", "title": "Extended P² quantile estimator", "url": "https://aakinshin.net/posts/ex-p2-quantile-estimator/", "published_at": "2022-01-18T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a8b5ad86", "title": "P² quantile estimator marker adjusting order", "url": "https://aakinshin.net/posts/p2-quantile-estimator-adjusting-order/", "published_at": "2022-01-11T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a8f540c7", "title": "P² quantile estimator initialization strategy", "url": "https://aakinshin.net/posts/p2-quantile-estimator-initialization/", "published_at": "2022-01-04T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a90e6397", "title": "Misleading geometric mean", "url": "https://aakinshin.net/posts/misleading-geometric-mean/", "published_at": "2021-12-28T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904a95f6afd", "title": "Matching quantile sets using likelihood based on the binomial coefficients", "url": 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"published_at": "2021-11-23T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904ac3d3092", "title": "Misleading kurtosis", "url": "https://aakinshin.net/posts/misleading-kurtosis/", "published_at": "2021-11-16T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904ac3f13f2", "title": "Misleading skewness", "url": "https://aakinshin.net/posts/misleading-skewness/", "published_at": "2021-11-09T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904acbacd5b", "title": "Greenwald-Khanna quantile estimator", "url": "https://aakinshin.net/posts/greenwald-khanna-quantile-estimator/", "published_at": "2021-11-02T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904ad3c4962", "title": "P² quantile estimator rounding issue", "url": "https://aakinshin.net/posts/p2-quantile-estimator-rounding-issue/", "published_at": "2021-10-26T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904ad91a930", "title": "Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width", "url": "https://aakinshin.net/posts/thdqe-hdi/", "published_at": "2021-10-19T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904adc33fe5", "title": "Optimal window of the trimmed Harrell-Davis quantile estimator, Part 2: Trying Planck-taper window", "url": "https://aakinshin.net/posts/thdqe-ow2/", "published_at": "2021-10-12T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904addfbceb", "title": "Optimal window of the trimmed Harrell-Davis quantile estimator, Part 1: Problems with the rectangular window", "url": "https://aakinshin.net/posts/thdqe-ow1/", "published_at": "2021-10-05T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904ae929141", "title": "Beta distribution highest density interval of the given width", "url": "https://aakinshin.net/posts/beta-hdi/", "published_at": "2021-09-28T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904af8f3730", "title": "Quantile estimators based on k order statistics, Part 8: Winsorized Harrell-Davis quantile 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"01a0871e-36ca-731f-9a50-c904bb3e9c6e", "title": "Improving quantile-respectful density estimation for discrete distributions using jittering", "url": "https://aakinshin.net/posts/qrde-discrete/", "published_at": "2021-04-27T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bbf2d3d3", "title": "How to build a smooth density estimation for a discrete sample using jittering", "url": "https://aakinshin.net/posts/discrete-sample-jittering/", "published_at": "2021-04-20T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bcc523bb", "title": "Kernel density estimation and discrete values", "url": "https://aakinshin.net/posts/kde-discrete/", "published_at": "2021-04-13T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bd7ca6f1", "title": "Efficiency of the winsorized and trimmed Harrell-Davis quantile estimators", "url": "https://aakinshin.net/posts/wthdqe-efficiency/", "published_at": "2021-04-06T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bd92318a", "title": "Trimmed modification of the Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/trimmed-hdqe/", "published_at": "2021-03-30T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904be8e99fa", "title": "Efficiency of the Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/hdqe-efficiency/", "published_at": "2021-03-23T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904be9a3224", "title": "Navruz-Özdemir quantile estimator", "url": "https://aakinshin.net/posts/navruz-ozdemir-quantile-estimator/", "published_at": "2021-03-16T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bef4b0d0", "title": "Sfakianakis-Verginis quantile estimator", "url": "https://aakinshin.net/posts/sfakianakis-verginis-quantile-estimator/", "published_at": "2021-03-09T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bfabbd87", "title": "Winsorized modification of the Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/winsorized-hdqe/", "published_at": "2021-03-02T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904bfb086fa", "title": "Misleading standard deviation", "url": "https://aakinshin.net/posts/misleading-stddev/", "published_at": "2021-02-23T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c07037ea", "title": "Unbiased median absolute deviation based on the Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/unbiased-mad-hd/", "published_at": "2021-02-16T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c0d3f91a", "title": "Unbiased median absolute deviation", "url": "https://aakinshin.net/posts/unbiased-mad/", "published_at": "2021-02-09T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c1764263", "title": "Comparing distribution quantiles using gamma effect size", "url": "https://aakinshin.net/posts/comparing-distributions-using-gamma-es/", "published_at": "2021-02-02T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c1d5fb77", "title": "A single outlier could completely distort your Cohen's d value", "url": "https://aakinshin.net/posts/cohend-and-outliers/", "published_at": "2021-01-26T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c27348e3", "title": "Fast implementation of the moving quantile based on the partitioning heaps, Part 2", "url": "https://aakinshin.net/posts/partitioning-heaps-quantile-estimator2/", "published_at": "2021-01-19T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c2a8cad7", "title": "MP² quantile estimator: estimating the moving median without storing values", "url": "https://aakinshin.net/posts/post-mp2-quantile-estimator/", "published_at": "2021-01-12T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c350c067", "title": "Case study: Accuracy of the MAD estimation using the Harrell-Davis quantile estimator (Gumbel distribution)", "url": "https://aakinshin.net/posts/cs-mad-hd-gumbel/", "published_at": "2021-01-05T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c36fb960", "title": "Fast implementation of the moving quantile based on the partitioning heaps, Part 1", "url": "https://aakinshin.net/posts/partitioning-heaps-quantile-estimator/", "published_at": "2020-12-29T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c37e8602", "title": "Coverage of quantile confidence intervals", "url": "https://aakinshin.net/posts/quantile-ci-coverage/", "published_at": "2020-12-22T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c42e9d29", "title": "Statistical approaches for performance analysis", "url": "https://aakinshin.net/posts/statistics-for-performance/", "published_at": "2020-12-15T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c52ac898", "title": "Quantile confidence intervals for weighted samples", "url": "https://aakinshin.net/posts/weighted-quantiles-ci/", "published_at": "2020-12-08T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c5fc69b2", "title": "Quantile absolute deviation: estimating statistical dispersion around quantiles", "url": "https://aakinshin.net/posts/qad/", "published_at": "2020-12-01T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c6a4ee71", "title": "P² quantile estimator: estimating the median without storing values", "url": "https://aakinshin.net/posts/p2-quantile-estimator-intro/", "published_at": "2020-11-24T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c6fd658d", "title": "Plain-text summary notation for multimodal distributions", "url": "https://aakinshin.net/posts/modality-summary-notation/", "published_at": "2020-11-17T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c73e977d", "title": "Intermodal outliers", "url": "https://aakinshin.net/posts/intermodal-outliers/", "published_at": "2020-11-10T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c82d76f3", "title": "Lowland multimodality detection", "url": "https://aakinshin.net/posts/lowland-multimodality-detection/", "published_at": "2020-11-03T00:00:00+00:00" }, { "id": "01a0871e-36ca-731f-9a50-c904c87d7150", "title": "Quantile-respectful density estimation based on the Harrell-Davis quantile estimator", "url": "https://aakinshin.net/posts/qrde-hd/", "published_at": "2020-10-27T00:00:00+00:00" } ] posts Claim your blog
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2022

Quantile absolute deviation of the Normal distributionoriginal ↗
24 Aug 2022
Standard quantile absolute deviationoriginal ↗
23 Aug 2022
Asymptotic Gaussian efficiency of the quantile absolute deviationoriginal ↗
16 Aug 2022
Finite-sample efficiency of the Rousseeuw-Croux estimatorsoriginal ↗
9 Aug 2022
Caveats of using the median absolute deviationoriginal ↗
2 Aug 2022
Preprint announcement: 'Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification'original ↗
26 Jul 2022
Challenges of change point detection in CI performance dataoriginal ↗
19 Jul 2022
Dynamical System Case Study 2 (Piecewise linear LLL-system)original ↗
17 Jul 2022
Degenerate point of dispersion estimatorsoriginal ↗
12 Jul 2022
Untied quantile absolute deviationoriginal ↗
5 Jul 2022
Middle non-zero quantile absolute deviation, Part 2original ↗
28 Jun 2022
The expected number of takes from a discrete distribution before observing the given elementoriginal ↗
21 Jun 2022
Folded mediansoriginal ↗
14 Jun 2022
Gastwirth's location estimatororiginal ↗
7 Jun 2022
Dynamical System Case Study 1 (symmetric 3d system)original ↗
5 Jun 2022
Beeping Busy Beavers and twin prime conjectureoriginal ↗
1 Jun 2022
Hodges-Lehmann-Sen shift and shift confidence interval estimatorsoriginal ↗
31 May 2022
Statistical efficiency of the Hodges-Lehmann median estimator, Part 2original ↗
24 May 2022
Statistical efficiency of the Hodges-Lehmann median estimator, Part 1original ↗
17 May 2022
Expected value of the maximum of two standard half-normal distributionsoriginal ↗
10 May 2022
Expected value of the minimum of two standard half-normal distributionsoriginal ↗
3 May 2022
Unbiased median absolute deviation for n=2original ↗
26 Apr 2022
Weighted trimmed Harrell-Davis quantile estimatororiginal ↗
19 Apr 2022
Minimum meaningful statistical level for the Mann–Whitney U testoriginal ↗
12 Apr 2022
Fence-based outlier detectors, Part 2original ↗
5 Apr 2022
Fence-based outlier detectors, Part 1original ↗
29 Mar 2022
Publication announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width'original ↗
22 Mar 2022
Asymmetric decile-based outlier detector, Part 2original ↗
15 Mar 2022
Asymmetric decile-based outlier detector, Part 1original ↗
8 Mar 2022
Probability of observing outliers using Tukey's fencesoriginal ↗
1 Mar 2022
Gamma effect size powered by the middle non-zero quantile absolute deviationoriginal ↗
22 Feb 2022
Middle non-zero quantile absolute deviationoriginal ↗
15 Feb 2022
Unbiased median absolute deviation based on the trimmed Harrell-Davis quantile estimatororiginal ↗
8 Feb 2022
Median absolute deviation vs. Shamos estimatororiginal ↗
1 Feb 2022
Moving extended P² quantile estimatororiginal ↗
25 Jan 2022
Extended P² quantile estimatororiginal ↗
18 Jan 2022
P² quantile estimator marker adjusting orderoriginal ↗
11 Jan 2022
P² quantile estimator initialization strategyoriginal ↗
4 Jan 2022

2021

Misleading geometric meanoriginal ↗
28 Dec 2021
Matching quantile sets using likelihood based on the binomial coefficientsoriginal ↗
21 Dec 2021
Ratio function vs. ratio distributionoriginal ↗
14 Dec 2021
Shift function vs. shift distributionoriginal ↗
7 Dec 2021
Preprint announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width'original ↗
30 Nov 2021
Non-normal median sampling distributionoriginal ↗
23 Nov 2021
Misleading kurtosisoriginal ↗
16 Nov 2021
Misleading skewnessoriginal ↗
9 Nov 2021
Greenwald-Khanna quantile estimatororiginal ↗
2 Nov 2021
P² quantile estimator rounding issueoriginal ↗
26 Oct 2021
Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given widthoriginal ↗
19 Oct 2021
Optimal window of the trimmed Harrell-Davis quantile estimator, Part 2: Trying Planck-taper windoworiginal ↗
12 Oct 2021
Optimal window of the trimmed Harrell-Davis quantile estimator, Part 1: Problems with the rectangular windoworiginal ↗
5 Oct 2021
Beta distribution highest density interval of the given widthoriginal ↗
28 Sept 2021
Quantile estimators based on k order statistics, Part 8: Winsorized Harrell-Davis quantile estimatororiginal ↗
21 Sept 2021
Quantile estimators based on k order statistics, Part 7: Optimal threshold for the trimmed Harrell-Davis quantile estimatororiginal ↗
14 Sept 2021
Quantile estimators based on k order statistics, Part 6: Continuous trimmed Harrell-Davis quantile estimatororiginal ↗
7 Sept 2021
Quantile estimators based on k order statistics, Part 5: Improving trimmed Harrell-Davis quantile estimatororiginal ↗
31 Aug 2021
Quantile estimators based on k order statistics, Part 4: Adopting trimmed Harrell-Davis quantile estimatororiginal ↗
24 Aug 2021
Quantile estimators based on k order statistics, Part 3: Playing with the Beta functionoriginal ↗
17 Aug 2021
Quantile estimators based on k order statistics, Part 2: Extending Hyndman-Fan equationsoriginal ↗
10 Aug 2021
Quantile estimators based on k order statistics, Part 1: Motivationoriginal ↗
3 Aug 2021
Avoiding over-trimming with the trimmed Harrell-Davis quantile estimatororiginal ↗
27 Jul 2021
Optimal threshold of the trimmed Harrell-Davis quantile estimatororiginal ↗
20 Jul 2021
Estimating quantile confidence intervals: Maritz-Jarrett vs. jackknifeoriginal ↗
13 Jul 2021
Using Kish's effective sample size with weighted quantilesoriginal ↗
6 Jul 2021
Partial binning compression of performance seriesoriginal ↗
29 Jun 2021
Calculating gamma effect size for samples with zero median absolute deviationoriginal ↗
22 Jun 2021
Discrete performance distributionsoriginal ↗
15 Jun 2021
Customization of the nonparametric Cohen's d-consistent effect sizeoriginal ↗
8 Jun 2021
Robust alternative to statistical efficiencyoriginal ↗
1 Jun 2021
Improving the efficiency of the Harrell-Davis quantile estimator for special cases using custom winsorizing and trimming strategiesoriginal ↗
25 May 2021
Comparing the efficiency of the Harrell-Davis, Sfakianakis-Verginis, and Navruz-Özdemir quantile estimatorsoriginal ↗
18 May 2021
Dispersion exponential smoothingoriginal ↗
11 May 2021
Quantile exponential smoothingoriginal ↗
4 May 2021
Improving quantile-respectful density estimation for discrete distributions using jitteringoriginal ↗
27 Apr 2021
How to build a smooth density estimation for a discrete sample using jitteringoriginal ↗
20 Apr 2021
Kernel density estimation and discrete valuesoriginal ↗
13 Apr 2021
Efficiency of the winsorized and trimmed Harrell-Davis quantile estimatorsoriginal ↗
6 Apr 2021
Trimmed modification of the Harrell-Davis quantile estimatororiginal ↗
30 Mar 2021
Efficiency of the Harrell-Davis quantile estimatororiginal ↗
23 Mar 2021
Navruz-Özdemir quantile estimatororiginal ↗
16 Mar 2021
Sfakianakis-Verginis quantile estimatororiginal ↗
9 Mar 2021
Winsorized modification of the Harrell-Davis quantile estimatororiginal ↗
2 Mar 2021
Misleading standard deviationoriginal ↗
23 Feb 2021
Unbiased median absolute deviation based on the Harrell-Davis quantile estimatororiginal ↗
16 Feb 2021
Unbiased median absolute deviationoriginal ↗
9 Feb 2021
Comparing distribution quantiles using gamma effect sizeoriginal ↗
2 Feb 2021
A single outlier could completely distort your Cohen's d valueoriginal ↗
26 Jan 2021
Fast implementation of the moving quantile based on the partitioning heaps, Part 2original ↗
19 Jan 2021
MP² quantile estimator: estimating the moving median without storing valuesoriginal ↗
12 Jan 2021
Case study: Accuracy of the MAD estimation using the Harrell-Davis quantile estimator (Gumbel distribution)original ↗
5 Jan 2021

2020

Fast implementation of the moving quantile based on the partitioning heaps, Part 1original ↗
29 Dec 2020
Coverage of quantile confidence intervalsoriginal ↗
22 Dec 2020
Statistical approaches for performance analysisoriginal ↗
15 Dec 2020
Quantile confidence intervals for weighted samplesoriginal ↗
8 Dec 2020
Quantile absolute deviation: estimating statistical dispersion around quantilesoriginal ↗
1 Dec 2020
P² quantile estimator: estimating the median without storing valuesoriginal ↗
24 Nov 2020
Plain-text summary notation for multimodal distributionsoriginal ↗
17 Nov 2020
Intermodal outliersoriginal ↗
10 Nov 2020
Lowland multimodality detectionoriginal ↗
3 Nov 2020
Quantile-respectful density estimation based on the Harrell-Davis quantile estimatororiginal ↗
27 Oct 2020
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