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aakinshin.net


21. 5. 2024Statistical Efficiency of the Trimmed and Winsorized Mean – aakinshin.net
14. 5. 2024Thoughts on Geothmetic Meandian – aakinshin.net
7. 5. 2024Statistical Efficiency of the Tau Measure of Location – aakinshin.net
30. 4. 2024Lowland multimodality detection and weighted samples – aakinshin.net
23. 4. 2024Lowland multimodality detection and robustness – aakinshin.net
16. 4. 2024Embracing model misspecification – aakinshin.net
9. 4. 2024Preprint announcement: 'Quantile-Respectful Density Estimation Based on the Harrell-Davis Quantile Estimator' – aakinshin.net
2. 4. 2024Lowland multimodality detection and jittering – aakinshin.net
26. 3. 2024Quantile-Respectful Density Estimation and Trimming – aakinshin.net
19. 3. 2024A better jittering approach for discretization acknowledgment in density estimation – aakinshin.net
12. 3. 2024Effect Sizes and Asymmetry – aakinshin.net
5. 3. 2024Pragmatic Statistics Manifesto – aakinshin.net
27. 2. 2024The Effect Existence, Its Magnitude, and the Goals – aakinshin.net
20. 2. 2024Case study: a city social survey – aakinshin.net
13. 2. 2024Simplifying adjustments of confidence levels and practical significance thresholds – aakinshin.net
6. 2. 2024Degrees of practical significance – aakinshin.net
30. 1. 2024Weighted Mann-Whitney U test, Part 3 – aakinshin.net
23. 1. 2024Andreas Löffler's implementation of the exact p-values calculations for the Mann-Whitney U test – aakinshin.net
16. 1. 2024Eclectic statistics – aakinshin.net
16. 1. 2024Eclectic statistics – aakinshin.net
9. 1. 2024Change Point Detection and Recent Changes – aakinshin.net
2. 1. 2024Merging extended P² quantile estimators, Part 1 – aakinshin.net
26. 12. 2023Hodges-Lehmann ratio estimator vs. Bhattacharyya's scale ratio estimator – aakinshin.net
19. 12. 2023Finite-sample Gaussian efficiency: Shamos vs. Rousseeuw-Croux Qn scale estimators – aakinshin.net
12. 12. 2023Two-pass change point detection for temporary interval condensation – aakinshin.net
5. 12. 2023Inconsistent violin plots – aakinshin.net
28. 11. 2023Sporadic noise problem in change point detection – aakinshin.net
21. 11. 2023Resistance to the low-density regions: the Hodges-Lehmann location estimator based on the Harrell-Davis quantile estimator – aakinshin.net
14. 11. 2023Median vs. Hodges-Lehmann: compare efficiency under heavy-tailedness – aakinshin.net
7. 11. 2023Thoughts about robustness and efficiency – aakinshin.net
31. 10. 2023Finite-sample Gaussian efficiency: Quantile absolute deviation vs. Rousseeuw-Croux scale estimators – aakinshin.net
24. 10. 2023Mann-Whitney U test and heteroscedasticity – aakinshin.net
17. 10. 2023Exploring the power curve of the Ansari-Bradley test – aakinshin.net
10. 10. 2023Exploring the power curve of the Lepage test – aakinshin.net
3. 10. 2023Weighted Hodges-Lehmann location estimator and mixture distributions – aakinshin.net
26. 9. 2023Carling’s Modification of the Tukey's fences – aakinshin.net
19. 9. 2023Central limit theorem and log-normal distribution – aakinshin.net
12. 9. 2023Hodges-Lehmann Gaussian efficiency: location shift vs. shift of locations – aakinshin.net
5. 9. 2023Thoughts on automatic statistical methods and broken assumptions – aakinshin.net
29. 8. 2023Ratio estimator based on the Hodges-Lehmann approach – aakinshin.net
22. 8. 2023Weighted Mann-Whitney U test, Part 2 – aakinshin.net
15. 8. 2023Exploring the power curve of the Cucconi test – aakinshin.net
8. 8. 2023Parametric, Nonparametric, Robust, and Defensive statistics – aakinshin.net
1. 8. 2023Insidious implicit statistical assumptions – aakinshin.net
25. 7. 2023Four main books on robust statistics – aakinshin.net
18. 7. 2023Multimodal distributions and effect size – aakinshin.net
11. 7. 2023Unobvious limitations of R *signrank Wilcoxon Signed Rank functions – aakinshin.net
4. 7. 2023Weighted Mann-Whitney U test, Part 1 – aakinshin.net
4. 7. 2023Weighted Mann-Whitney U test – aakinshin.net
27. 6. 2023Joining modes of multimodal distributions – aakinshin.net
20. 6. 2023Understanding the pitfalls of preferring the median over the mean – aakinshin.net
13. 6. 2023Introducing the defensive statistics – aakinshin.net
6. 6. 2023Edgeworth expansion for the Mann-Whitney U test, Part 2: increased accuracy – aakinshin.net
30. 5. 2023Edgeworth expansion for the Mann-Whitney U test – aakinshin.net
23. 5. 2023Confusing tie correction in the classic Mann-Whitney U test implementation – aakinshin.net
16. 5. 2023Efficiency of the central tendency measures under the uniform distribution – aakinshin.net
9. 5. 2023Unobvious problems of using the R's implementation of the Hodges-Lehmann estimator – aakinshin.net
2. 5. 2023When Python's Mann-Whitney U test returns extremely distorted p-values – aakinshin.net
25. 4. 2023When Mann-Whitney U-test returns astonishingly incorrect p-values – aakinshin.net
18. 4. 2023Preprint announcement: 'Weighted quantile estimators' – aakinshin.net
11. 4. 2023Rethinking Type I/II error rates and power curves – aakinshin.net
4. 4. 2023Adaptation of continuous scale measures to discrete distributions – aakinshin.net
28. 3. 2023Weighted modification of the Hodges-Lehmann location estimator – aakinshin.net
21. 3. 2023Performance stability of GitHub Actions – aakinshin.net
14. 3. 2023p-value distribution of the Brunner–Munzel test in the finite case – aakinshin.net
7. 3. 2023Comparing statistical power of the Mann-Whitney U test and the Brunner-Munzel test – aakinshin.net
28. 2. 2023p-value distribution of the Mann–Whitney U test in the finite case – aakinshin.net
21. 2. 2023Corner case of the Brunner–Munzel test – aakinshin.net
14. 2. 2023Examples of the Mann–Whitney U test misuse cases – aakinshin.net
7. 2. 2023Types of finite-sample consistency with the standard deviation – aakinshin.net
31. 1. 2023Thoughts about outlier removal and ozone holes – aakinshin.net
31. 1. 2023Thoughts about outlier removal and climate change – aakinshin.net
24. 1. 2023Nonparametric effect size: Cohen's d vs. Glass's delta – aakinshin.net
17. 1. 2023Trinal statistical thresholds – aakinshin.net
17. 1. 2023Trinal statistical thresholds – aakinshin.net
10. 1. 2023Trimmed Hodges-Lehmann location estimator, Part 2: Gaussian efficiency – aakinshin.net
3. 1. 2023Trimmed Hodges-Lehmann location estimator, Part 1: breakdown point – aakinshin.net
27. 12. 2022Median of the shifts vs. shift of the medians, Part 2: Gaussian efficiency – aakinshin.net
20. 12. 2022Median of the shifts vs. shift of the medians, Part 1 – aakinshin.net
20. 12. 2022Median of the shifts vs. shift of the medians – aakinshin.net
13. 12. 2022Resistance to the low-density regions: the Hodges-Lehmann location estimator – aakinshin.net
6. 12. 2022Kernel density estimation boundary correction: reflection (ggplot2 v3.4.0) – aakinshin.net
29. 11. 2022Sheather & Jones vs. unbiased cross-validation – aakinshin.net
22. 11. 2022Resistance to the low-density regions: the Harrell-Davis median – aakinshin.net
15. 11. 2022Resistance to the low-density regions: the mean and the median – aakinshin.net
8. 11. 2022Finite-sample Gaussian efficiency of the trimmed Harrell-Davis median estimator – aakinshin.net
1. 11. 2022Finite-sample Gaussian efficiency of the Harrell-Davis median estimator – aakinshin.net
25. 10. 2022Weighted quantile estimation for a weighted mixture distribution – aakinshin.net
18. 10. 2022Preprint announcement: 'Finite-sample Rousseeuw-Croux scale estimators' – aakinshin.net
11. 10. 2022Sensitivity curve of the Harrell-Davis quantile estimator, Part 3 – aakinshin.net
4. 10. 2022Sensitivity curve of the Harrell-Davis quantile estimator, Part 2 – aakinshin.net
27. 9. 2022Sensitivity curve of the Harrell-Davis quantile estimator, Part 1 – aakinshin.net
27. 9. 2022Sensitivity curve of the Harrell-Davis quantile estimator – aakinshin.net
20. 9. 2022Weighted quantile estimators for exponential smoothing and mixture distributions – aakinshin.net
13. 9. 2022The Huggins-Roy family of effective sample sizes – aakinshin.net
6. 9. 2022Finite-sample bias correction factors for Rousseeuw-Croux scale estimators – aakinshin.net
1. 9. 2022Preprint announcement: 'Quantile absolute deviation' – aakinshin.net
31. 8. 2022Standard trimmed Harrell-Davis median estimator – aakinshin.net
30. 8. 2022Optimal quantile absolute deviation – aakinshin.net
29. 8. 2022Quantile absolute deviation of the Pareto distribution – aakinshin.net
26. 8. 2022Quantile absolute deviation of the Exponential distribution – aakinshin.net
25. 8. 2022Quantile absolute deviation of the Uniform distribution – aakinshin.net
24. 8. 2022Quantile absolute deviation of the Normal distribution – aakinshin.net
23. 8. 2022Standard quantile absolute deviation – aakinshin.net
16. 8. 2022Asymptotic Gaussian efficiency of the quantile absolute deviation – aakinshin.net
9. 8. 2022Finite-sample efficiency of the Rousseeuw-Croux estimators – aakinshin.net
2. 8. 2022Caveats of using the median absolute deviation – aakinshin.net
26. 7. 2022Preprint announcement: 'Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification' – aakinshin.net
19. 7. 2022Challenges of change point detection in CI performance data – aakinshin.net
17. 7. 2022Dynamical System Case Study 2 (Piecewise linear LLL-system) – aakinshin.net
12. 7. 2022Degenerate point of dispersion estimators – aakinshin.net
5. 7. 2022Untied quantile absolute deviation – aakinshin.net
28. 6. 2022Middle non-zero quantile absolute deviation, Part 2 – aakinshin.net
21. 6. 2022The expected number of takes from a discrete distribution before observing the given element – aakinshin.net
14. 6. 2022Folded medians – aakinshin.net
7. 6. 2022Gastwirth's location estimator – aakinshin.net
5. 6. 2022Dynamical System Case Study 1 (symmetric 3d system) – aakinshin.net
1. 6. 2022Beeping Busy Beavers and twin prime conjecture – aakinshin.net
31. 5. 2022Hodges-Lehmann-Sen shift and shift confidence interval estimators – aakinshin.net
24. 5. 2022Statistical efficiency of the Hodges-Lehmann median estimator, Part2 – aakinshin.net
17. 5. 2022Statistical efficiency of the Hodges-Lehmann median estimator, Part1 – aakinshin.net
17. 5. 2022Statistical efficiency of the Hodges-Lehmann median estimator, Part1 – aakinshin.net
10. 5. 2022Expected value of the maximum of two standard half-normal distributions – aakinshin.net
3. 5. 2022Expected value of the minimum of two standard half-normal distributions – aakinshin.net
26. 4. 2022Unbiased median absolute deviation for n=2 – aakinshin.net
19. 4. 2022Weighted trimmed Harrell-Davis quantile estimator – aakinshin.net
12. 4. 2022Minimum meaningful statistical level for the Mann–Whitney U test – aakinshin.net
12. 4. 2022Minimum meaningful statistical level for the Mann–Whitney U test – aakinshin.net
5. 4. 2022Fence-based outlier detectors, Part 2 – aakinshin.net
29. 3. 2022Fence-based outlier detectors, Part 1 – aakinshin.net
29. 3. 2022Fence-based outlier detectors – aakinshin.net
22. 3. 2022Publication announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width' – aakinshin.net
15. 3. 2022Asymmetric decile-based outlier detector, Part 2 – aakinshin.net
8. 3. 2022Asymmetric decile-based outlier detector, Part 1 – aakinshin.net
1. 3. 2022Probability of observing outliers using Tukey's fences – aakinshin.net
22. 2. 2022Gamma effect size powered by the middle non-zero quantile absolute deviation – aakinshin.net
15. 2. 2022Middle non-zero quantile absolute deviation – aakinshin.net
15. 2. 2022Middle non-degenerate quantile absolute deviation – aakinshin.net
8. 2. 2022Unbiased median absolute deviation based on the trimmed Harrell-Davis quantile estimator – aakinshin.net
1. 2. 2022Median absolute deviation vs. Shamos estimator – aakinshin.net
25. 1. 2022Moving extended P² quantile estimator – aakinshin.net
18. 1. 2022Extended P² quantile estimator – aakinshin.net
11. 1. 2022P² quantile estimator marker adjusting order – aakinshin.net
4. 1. 2022P² quantile estimator initialization strategy – aakinshin.net
28. 12. 2021Misleading geometric mean – aakinshin.net
21. 12. 2021Matching quantile sets using likelihood based on the binomial coefficients – aakinshin.net
14. 12. 2021Ratio function vs. ratio distribution – aakinshin.net
7. 12. 2021Shift function vs. shift distribution – aakinshin.net
30. 11. 2021Preprint announcement: 'Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width' – aakinshin.net
30. 11. 2021Non-normal median sampling distribution – aakinshin.net
16. 11. 2021Misleading kurtosis – aakinshin.net
9. 11. 2021Misleading skewness – aakinshin.net
2. 11. 2021Greenwald-Khanna quantile estimator – aakinshin.net
26. 10. 2021P² quantile estimator rounding issue – aakinshin.net
19. 10. 2021Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width – aakinshin.net
12. 10. 2021Optimal window of the trimmed Harrell-Davis quantile estimator, Part 2: Trying Planck-taper window – aakinshin.net
5. 10. 2021Optimal window of the trimmed Harrell-Davis quantile estimator, Part 1: Problems with the rectangular window – aakinshin.net
28. 9. 2021Beta distribution highest density interval of the given width – aakinshin.net
21. 9. 2021Quantile estimators based on k order statistics, Part 8: Winsorized Harrell-Davis quantile estimator – aakinshin.net
14. 9. 2021Quantile estimators based on k order statistics, Part 7: Optimal threshold for the trimmed Harrell-Davis quantile estimator – aakinshin.net
7. 9. 2021Quantile estimators based on k order statistics, Part 6: Continuous trimmed Harrell-Davis quantile estimator – aakinshin.net
31. 8. 2021Quantile estimators based on k order statistics, Part 5: Improving trimmed Harrell-Davis quantile estimator – aakinshin.net
24. 8. 2021Quantile estimators based on k order statistics, Part 4: Adopting trimmed Harrell-Davis quantile estimator – aakinshin.net
17. 8. 2021Quantile estimators based on k order statistics, Part 3: Playing with the Beta function – aakinshin.net
10. 8. 2021Quantile estimators based on k order statistics, Part 2: Extending Hyndman-Fan equations – aakinshin.net
3. 8. 2021Quantile estimators based on k order statistics, Part 1: Motivation – aakinshin.net
27. 7. 2021Avoiding over-trimming with the trimmed Harrell-Davis quantile estimator – aakinshin.net
20. 7. 2021Optimal threshold of the trimmed Harrell-Davis quantile estimator – aakinshin.net
13. 7. 2021Estimating quantile confidence intervals: Maritz-Jarrett vs. jackknife – aakinshin.net
6. 7. 2021Using Kish's effective sample size with weighted quantiles – aakinshin.net
29. 6. 2021Partial binning compression of performance series – aakinshin.net
22. 6. 2021Calculating gamma effect size for samples with zero median absolute deviation – aakinshin.net
15. 6. 2021Discrete performance distributions – aakinshin.net
8. 6. 2021Customization of the nonparametric Cohen's d-consistent effect size – aakinshin.net
1. 6. 2021Robust alternative to statistical efficiency – aakinshin.net
25. 5. 2021Improving the efficiency of the Harrell-Davis quantile estimator for special cases using custom winsorizing and trimming strategies – aakinshin.net
18. 5. 2021Comparing the efficiency of the Harrell-Davis, Sfakianakis-Verginis, and Navruz-Özdemir quantile estimators – aakinshin.net
11. 5. 2021Dispersion exponential smoothing – aakinshin.net
4. 5. 2021Quantile exponential smoothing – aakinshin.net
27. 4. 2021Improving quantile-respectful density estimation for discrete distributions using jittering – aakinshin.net
20. 4. 2021How to build a smooth density estimation for a discrete sample using jittering – aakinshin.net
13. 4. 2021Kernel density estimation and discrete values – aakinshin.net
6. 4. 2021Efficiency of the winsorized and trimmed Harrell-Davis quantile estimators – aakinshin.net
30. 3. 2021Trimmed modification of the Harrell-Davis quantile estimator – aakinshin.net
23. 3. 2021Efficiency of the Harrell-Davis quantile estimator – aakinshin.net
16. 3. 2021Navruz-Özdemir quantile estimator – aakinshin.net
16. 3. 2021Navruz-Özdemir quantile estimator – aakinshin.net
9. 3. 2021Sfakianakis-Verginis quantile estimator – aakinshin.net
9. 3. 2021Sfakianakis-Verginis quantile estimator – aakinshin.net
2. 3. 2021Winsorized modification of the Harrell-Davis quantile estimator – aakinshin.net
23. 2. 2021Misleading standard deviation – aakinshin.net
16. 2. 2021Unbiased median absolute deviation based on the Harrell-Davis quantile estimator – aakinshin.net
9. 2. 2021Unbiased median absolute deviation – aakinshin.net
2. 2. 2021Comparing distribution quantiles using gamma effect size – aakinshin.net
26. 1. 2021A single outlier could completely distort your Cohen's d value – aakinshin.net
19. 1. 2021Better moving quantile estimations using the partitioning heaps – aakinshin.net
12. 1. 2021MP² quantile estimator: estimating the moving median without storing values – aakinshin.net
12. 1. 2021MP² quantile estimator: estimating the moving median without storing values – aakinshin.net
5. 1. 2021Case study: Accuracy of the MAD estimation using the Harrell-Davis quantile estimator (Gumbel distribution) – aakinshin.net
29. 12. 2020Fast implementation of the moving quantile based on the partitioning heaps – aakinshin.net
22. 12. 2020Coverage of quantile confidence intervals – aakinshin.net
15. 12. 2020Statistical approaches for performance analysis – aakinshin.net
8. 12. 2020Quantile confidence intervals for weighted samples – aakinshin.net
1. 12. 2020Quantile absolute deviation: estimating statistical dispersion around quantiles – aakinshin.net
24. 11. 2020P² quantile estimator: estimating the median without storing values – aakinshin.net
24. 11. 2020P² quantile estimator: estimating the median without storing values – aakinshin.net
17. 11. 2020Plain-text summary notation for multimodal distributions – aakinshin.net
10. 11. 2020Intermodal outliers – aakinshin.net
3. 11. 2020Lowland multimodality detection – aakinshin.net
27. 10. 2020Quantile-respectful density estimation based on the Harrell-Davis quantile estimator – aakinshin.net
20. 10. 2020Misleading histograms – aakinshin.net
13. 10. 2020The importance of kernel density estimation bandwidth – aakinshin.net
6. 10. 2020The median absolute deviation value of the Gumbel distribution – aakinshin.net
29. 9. 2020Weighted quantile estimators – aakinshin.net
29. 9. 2020Weighted quantile estimators – aakinshin.net
25. 6. 2020Nonparametric Cohen's d-consistent effect size – aakinshin.net
22. 6. 2020DoubleMAD outlier detector based on the Harrell-Davis quantile estimator – aakinshin.net
20. 5. 2020How ListSeparator Depends on Runtime and Operating System – aakinshin.net
13. 5. 2020How Sorting Order Depends on Runtime and Operating System – aakinshin.net
27. 4. 2020How Socket Error Codes Depend on Runtime and Operating System – aakinshin.net
14. 4. 2020.NET Core performance revolution in Rider 2020.1 – aakinshin.net
4. 3. 2020Introducing perfolizer – aakinshin.net
11. 10. 2019Distribution comparison via the shift and ratio functions – aakinshin.net
9. 10. 2019Normality is a myth – aakinshin.net
9. 10. 2019Normality is a myth – aakinshin.net
7. 10. 2019Implementation of efficient algorithm for changepoint detection: ED-PELT – aakinshin.net
8. 5. 2018A story about slow NuGet package browsing – aakinshin.net
10. 4. 2018Cross-runtime .NET disassembly with BenchmarkDotNet – aakinshin.net
9. 4. 2018BenchmarkDotNet v0.10.14 – aakinshin.net
2. 3. 2018BenchmarkDotNet v0.10.13 – aakinshin.net
20. 2. 2018Analyzing distribution of Mono GC collections – aakinshin.net
15. 1. 2018BenchmarkDotNet v0.10.12 – aakinshin.net
3. 11. 2017BenchmarkDotNet v0.10.10 – aakinshin.net
1. 8. 2017Reflecting on performance testing – aakinshin.net
9. 6. 2017Measuring Performance Improvements in .NET Core with BenchmarkDotNet (Part 1) – aakinshin.net
5. 6. 2017BenchmarkDotNet v0.10.7 – aakinshin.net
14. 2. 201765535 interfaces ought to be enough for anybody – aakinshin.net
13. 2. 2017A bug story about named mutex on Mono – aakinshin.net
10. 2. 2017InvalidDataException in Process.GetProcesses – aakinshin.net
8. 2. 2017Why is NuGet search in Rider so fast? – aakinshin.net
6. 2. 2017NuGet2 and a DirectorySeparatorChar bug – aakinshin.net
26. 12. 2016Performance exercise: Division – aakinshin.net
20. 12. 2016Performance exercise: Minimum – aakinshin.net
9. 9. 2016Stopwatch under the hood – aakinshin.net
19. 8. 2016DateTime under the hood – aakinshin.net
4. 4. 2016LegacyJIT-x86 and first method call – aakinshin.net
27. 2. 2016Visual Studio and ProjectTypeGuids.cs – aakinshin.net
26. 11. 2015Blittable types – aakinshin.net
12. 5. 2015RyuJIT RC and constant folding – aakinshin.net
2. 3. 2015Unrolling of small loops in different JIT versions – aakinshin.net
1. 3. 2015RyuJIT CTP5 and loop unrolling – aakinshin.net
28. 2. 2015JIT version determining in runtime – aakinshin.net
27. 2. 2015A bug story about JIT-x64 – aakinshin.net
26. 2. 2015A story about JIT-x86 inlining and starg – aakinshin.net
10. 11. 2014About UTF-8 conversions in Mono – aakinshin.net
11. 8. 2014Happy Monday! – aakinshin.net
19. 7. 2014To Refactor Or Not To Refactor? – aakinshin.net
29. 4. 2014Strange behavior of FindElementsInHostCoordinates in WinRT – aakinshin.net
21. 2. 2014About System.Drawing.Color and operator == – aakinshin.net
8. 2. 2014Setting up build configuration in .NET – aakinshin.net
3. 11. 2013Jon Skeet's Quiz – aakinshin.net
28. 8. 2013To Add Comments or Not to Add? – aakinshin.net
28. 8. 2013Perfect code and real projects – aakinshin.net
8. 8. 2013Unexpected area to collect garbage in .NET – aakinshin.net
7. 8. 2013Unobviousness in use of C# closures – aakinshin.net
3. 6. 2013Wrapping C# class for use in COM – aakinshin.net
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