Robust Statistics

A tutorial on support vector regression

Smola, A. J., & Schölkopf, B. (2004) · Statistics and Computing · doi:10.1023/b:stco.0000035301.49549.88 · Cited by 13,482 · see citing works

Principal component analysis: A review and recent developments

Jolliffe, I. T., & Cadima, J. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2015.0202 · Cited by 10,117 · see citing works

Robust principal component analysis?

Candès, E. J., Li, X., Ma, Y., & Wright, J. N. (2011) · Journal of the ACM · doi:10.1145/1970392.1970395 · Cited by 6,914 · see citing works

Secure spread spectrum watermarking for multimedia

Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650120 · Cited by 5,299 · see citing works

Enhancing Sparsity by Reweighted ℓ 1 Minimization

Candès, E. J., Wakin, M. B., & Boyd, S. (2008) · Journal of Fourier Analysis and Applications · doi:10.1007/s00041-008-9045-x · Cited by 4,798 · see citing works

Parallel Tracking and Mapping for Small AR Workspaces

Klein, G., & Murray, D. (2007) · 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2007.4538852 · Cited by 4,346 · see citing works

Dose-Response Analysis Using R

Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0146021 · Cited by 3,694 · see citing works

Least Median of Squares Regression

Rousseeuw, P. J. (1984) · Journal of the American Statistical Association · doi:10.1080/01621459.1984.10477105 · Cited by 3,571 · see citing works

Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., & Leonard, J. J. (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2624754 · Cited by 3,596 · see citing works

Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294 · see citing works

Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age

Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I. D., & Leonard, J. J. (2016) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-138892 · Cited by 3,094 · see citing works

Automatic Panoramic Image Stitching using Invariant Features

Brown, M., & Lowe, D. G. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-0002-3 · Cited by 2,659 · see citing works

Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not

Hodson, T. (2022) · Geoscientific model development · doi:10.5194/gmd-15-5481-2022 · Cited by 2,283 · see citing works

Fast and Robust Multiframe Super Resolution

Farsiu, S., Robinson, M. D., Elad, M., & Milanfar, P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.834669 · Cited by 2,099 · see citing works

Least squares formulation of robust non-negative factor analysis

Paatero, P. (1997) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(96)00044-5 · Cited by 1,980 · see citing works

Alternatives to the Median Absolute Deviation

Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476408 · Cited by 1,962 · see citing works

Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers

Beloglazov, A., & Buyya, R. (2011) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.1867 · Cited by 1,869 · see citing works

A better lemon squeezer? maximum-likelihood regression with beta-distributed dependent variables.

Smithson, M., & Verkuilen, J. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.1.54 · Cited by 1,788 · see citing works

Correntropy: Properties and Applications in Non-Gaussian Signal Processing

Liu, W., Pokharel, P. P., & Príncipe, J. C. (2007) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.896065 · Cited by 1,720 · see citing works

Detecting differential usage of exons from RNA-seq data

Anders, S., Reyes, A., & Huber, W. (2012) · Genome Research · doi:10.1101/gr.133744.111 · Cited by 1,545 · see citing works

Assessment and Propagation of Model Uncertainty

Draper, D. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02015.x · Cited by 1,599 · see citing works

SNR Walls for Signal Detection

Tandra, R., & Sahai, A. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.914879 · Cited by 1,558 · see citing works

Measuring phenological variability from satellite imagery

Reed, B. C., Brown, J. F., VanderZee, D., Loveland, T. R., Merchant, J. W., & Ohlen, D. O. (1994) · Journal of Vegetation Science · doi:10.2307/3235884 · Cited by 1,474 · see citing works

Kernel-based methods for hyperspectral image classification

Camps‐Valls, G., & Bruzzone, L. (2005) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.846154 · Cited by 1,457 · see citing works

Feature extraction from faces using deformable templates

Yuille, A., Hallinan, P. W., & Cohen, D. S. (1992) · International Journal of Computer Vision · doi:10.1007/bf00127169 · Cited by 1,373 · see citing works

Dictionaries for Sparse Representation Modeling

Rubinstein, R., Bruckstein, A. M., & Elad, M. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2040551 · Cited by 1,290 · see citing works

Volatility forecast comparison using imperfect volatility proxies

Patton, A. J. (2010) · Journal of Econometrics · doi:10.1016/j.jeconom.2010.03.034 · Cited by 1,321 · see citing works

Robust anisotropic diffusion

Black, M. J., Sapiro, G., Marimont, D. H., & Heeger, D. J. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661192 · Cited by 1,294 · see citing works

Principal Component Analysis: A Method for Determining the Essential Dynamics of Proteins

David, C., & Jacobs, D. J. (2013) · Methods in molecular biology · doi:10.1007/978-1-62703-658-0_11 · Cited by 1,255 · see citing works

The Selection of Prior Distributions by Formal Rules

Kass, R. E., & Wasserman, L. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10477003 · Cited by 1,291 · see citing works

OSQP: an operator splitting solver for quadratic programs

Stellato, B., Banjac, G., Goulart, P. J., Bemporad, A., & Boyd, S. (2020) · Mathematical Programming Computation · doi:10.1007/s12532-020-00179-2 · Cited by 1,255 · see citing works

On Choosing and Bounding Probability Metrics

Gibbs, A. L., & Su, F. E. (2002) · International Statistical Review · doi:10.1111/j.1751-5823.2002.tb00178.x · Cited by 1,199 · see citing works

SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS

van Dijk, D., Teräsvirta, T., & Franses, P. H. (2002) · Econometric Reviews · doi:10.1081/etc-120008723 · Cited by 1,199 · see citing works

Sentiment During Recessions

Garcı́a, D. (2012) · The Journal of Finance · doi:10.1111/jofi.12027 · Cited by 1,115 · see citing works

Adversarial machine learning

Huang, L., Joseph, A. D., Nelson, B., Rubinstein, B. I. P., & Tygar, J. D. (2011) · Proceedings of the 4th ACM workshop on Security and artificial intelligence · doi:10.1145/2046684.2046692 · Cited by 1,194 · see citing works

Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods

Bruhn, A., Weickert, J., & Schnörr, C. (2005) · International Journal of Computer Vision · doi:10.1023/b:visi.0000045324.43199.43 · Cited by 1,160 · see citing works

Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure

Chen, S., & Zhang, D. D. (2004) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2004.831165 · Cited by 1,146 · see citing works

Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation

Gneiting, T., Raftery, A. E., Westveld, A. H., & Goldman, T. (2005) · Monthly Weather Review · doi:10.1175/mwr2904.1 · Cited by 1,142 · see citing works

Some aspects of the spline smoothing approach to non-parametric regression curve fitting

Silverman, B. W. (1985) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1985.tb01327.x · Cited by 1,117 · see citing works

K‐means clustering: A half‐century synthesis

Steinley, D. (2006) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711005x48266 · Cited by 1,130 · see citing works

Multivariate Estimation with High Breakdown Point

Rousseeuw, P. J. (1985) · Springer eBooks · doi:10.1007/978-94-009-5438-0_20 · Cited by 1,122 · see citing works

Robust statistical methods in R using the WRS2 package

Mair, P., & Wilcox, R. R. (2019) · Behavior Research Methods · doi:10.3758/s13428-019-01246-w · Cited by 1,089 · see citing works

On the computational architecture of the neocortex: II The role of cortico-cortical loops

Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074 · see citing works

Efficient region tracking with parametric models of geometry and illumination

Hager, G. D., & Belhumeur, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.722606 · Cited by 1,066 · see citing works

Robust Statistical Modeling Using the t Distribution

Lange, K. L., Little, R. J. A., & Taylor, J. M. G. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478852 · Cited by 1,040 · see citing works

Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review

Hild, F., & Roux, S. (2006) · Strain · doi:10.1111/j.1475-1305.2006.00258.x · Cited by 1,005 · see citing works

Cautionary Note aboutR2

Kvålseth, T. O. (1985) · The American Statistician · doi:10.1080/00031305.1985.10479448 · Cited by 992 · see citing works

Associations Among Perceived Autonomy Support, Forms of Self-Regulation, and Persistence: A Prospective Study

Pelletier, L. G., Fortier, M. S., Vallerand, R. J., & Brière, N. M. (2001) · Motivation and Emotion · doi:10.1023/a:1014805132406 · Cited by 958 · see citing works

Robust Regression by Means of S-Estimators

Rousseeuw, P. J., & Yohai, V. J. (1984) · Lecture notes in statistics · doi:10.1007/978-1-4615-7821-5_15 · Cited by 975 · see citing works

Robust Portfolio Selection Problems

Goldfarb, D., & Iyengar, G. (2003) · Mathematics of Operations Research · doi:10.1287/moor.28.1.1.14260 · Cited by 898 · see citing works

Distributed optimization in sensor networks

Rabbat, M., & Nowak, R. (2004) · Proceedings of the 3rd international symposium on Information processing in sensor networks · doi:10.1145/984622.984626 · Cited by 901 · see citing works

Power of One Bit of Quantum Information

Knill, E. H., & Laflamme, R. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.5672 · Cited by 880 · see citing works

A generalized Gaussian image model for edge-preserving MAP estimation

Bouman, C. A., & Sauer, K. D. (1993) · IEEE Transactions on Image Processing · doi:10.1109/83.236536 · Cited by 888 · see citing works

The security of machine learning

Barreno, M., Nelson, B. A., Joseph, A. D., & Tygar, J. D. (2010) · Machine Learning · doi:10.1007/s10994-010-5188-5 · Cited by 839 · see citing works

A regression-based approach to short-term system load forecasting

Papalexopoulos, A. D., & Hesterberg, T. (1990) · IEEE Transactions on Power Systems · doi:10.1109/59.99410 · Cited by 827 · see citing works

First observation of PeV-energy neutrinos with IceCube.

Aartsen, M., Abbasi, R., Abdou, Y., Ackermann, M., Adams, J., Aguilar, J., Ahlers, M., Altmann, D., Auffenberg, J., Bai, X., et al. (2013) · Physical Review Letters · doi:10.1103/physrevlett.111.021103 · Cited by 664 · see citing works

Robust techniques for signal processing: A survey

Kassam, S. A., & Poor, H. V. (1985) · Proceedings of the IEEE · doi:10.1109/proc.1985.13167 · Cited by 820 · see citing works

Robust statistics for outlier detection

Rousseeuw, P. J., & Mia Hubert, B. (2011) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.2 · Cited by 807 · see citing works

A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

Paris, S., & Durand, F. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0110-8 · Cited by 796 · see citing works

Upper Gastrointestinal (GI) pH in Young, Healthy Men and Women

Dressman, J., Berardi, R. R., Dermentzoglou, L. C., Russell, T. L., Schmaltz, S. P., Barnett, J. L., & Jarvenpaa, K. M. (1990) · Pharmaceutical Research · doi:10.1023/a:1015827908309 · Cited by 784 · see citing works

On the unification of line processes, outlier rejection, and robust statistics with applications in early vision

Black, M. J., & Rangarajan, A. (1996) · International Journal of Computer Vision · doi:10.1007/bf00131148 · Cited by 770 · see citing works

Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements

Pennec, X. (2006) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-006-6228-4 · Cited by 752 · see citing works

Pose estimation for augmented reality: a hands-on survey

Marchand, E., Uchiyama, H., & Spindler, F. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2513408 · Cited by 746 · see citing works

The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix

Torr, P., & Murray, D. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007927408552 · Cited by 776 · see citing works

The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data

Nielsen, A. A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888195 · Cited by 749 · see citing works

Multisensor integration and fusion in intelligent systems

Luo, R. C., & Kay, M. G. (1989) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.44007 · Cited by 748 · see citing works

Keystroke dynamics as a biometric for authentication

Monrose, F., & Rubin, A. D. (2000) · Future Generation Computer Systems · doi:10.1016/s0167-739x(99)00059-x · Cited by 748 · see citing works

Optimization Transfer Using Surrogate Objective Functions

Lange, K. L., Hunter, D. R., & Yang, I. (2000) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2000.10474858 · Cited by 809 · see citing works

Multiverse recommendation

Karatzoglou, A., Amatriain, X., Baltrunas, L., & Oliver, N. (2010) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1864708.1864727 · Cited by 721 · see citing works

The possibilistic C-means algorithm: insights and recommendations

Krishnapuram, R. J., & Keller, J. M. (1996) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.531779 · Cited by 731 · see citing works

A garnet–hornblende geothermometer: calibration, testing, and application to the Pelona Schist, Southern California

Graham, C. M., & Powell, R. (1984) · Journal of Metamorphic Geology · doi:10.1111/j.1525-1314.1984.tb00282.x · Cited by 728 · see citing works

The Effect of Family Control on Firm Value and Performance: Evidence from Continental Europe

Barontini, R., & Caprio, L. (2006) · European Financial Management · doi:10.1111/j.1468-036x.2006.00273.x · Cited by 703 · see citing works

Robust clustering methods: a unified view

Davé, R. N., & Krishnapuram, R. J. (1997) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.580801 · Cited by 710 · see citing works

“Finite-Element” Displacement Fields Analysis from Digital Images: Application to Portevin–Le Châtelier Bands

Besnard, G., Hild, F., & Roux, S. (2006) · Experimental Mechanics · doi:10.1007/s11340-006-9824-8 · Cited by 711 · see citing works

The identification of multiple outliers

Davies, L., & Gather, U. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476339 · Cited by 709 · see citing works

A General and Adaptive Robust Loss Function

Barron, J. T. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00446 · Cited by 737 · see citing works

USAC: A Universal Framework for Random Sample Consensus

Raguram, R., Chum, O., Pollefeys, M., Matas, J., & Frahm, J. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.257 · Cited by 678 · see citing works

Maximum Correntropy Criterion for Robust Face Recognition

He, R., Zheng, W., & Hu, B.-G. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.220 · Cited by 669 · see citing works

Robust estimation of geomagnetic transfer functions

Egbert, G. D., & Booker, J. R. (1986) · Geophysical Journal International · doi:10.1111/j.1365-246x.1986.tb04552.x · Cited by 682 · see citing works

Regression diagnostics and robust regression in geothermometer/geobarometer calibration: the garnet‐clinopyroxene geothermometer revisited

Powell, R. (1985) · Journal of Metamorphic Geology · doi:10.1111/j.1525-1314.1985.tb00319.x · Cited by 678 · see citing works

Visual tracking and recognition using appearance-adaptive models in particle filters

Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.836152 · Cited by 668 · see citing works

Natural disasters and population mobility in Bangladesh

Gray, C. L., & Mueller, V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1115944109 · Cited by 687 · see citing works

The COVID-19 pandemic as a game changer for public administration and leadership? The need for robust governance responses to turbulent problems

Ansell, C., Sørensen, E., & Torfing, J. (2020) · Public Management Review · doi:10.1080/14719037.2020.1820272 · Cited by 660 · see citing works

Linear regression

Su, X., Yan, X., & Tsai, C. (2012) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.1198 · Cited by 660 · see citing works

Robust regression methods for computer vision: A review

Meer, P., Mintz, D., Rosenfeld, A., & Kim, D. Y. (1991) · International Journal of Computer Vision · doi:10.1007/bf00127126 · Cited by 636 · see citing works

Variance Function Estimation

Davidian, M., & Carroll, R. J. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478543 · Cited by 638 · see citing works

Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance SectorsPreprint

Billio, M., Lo, A. W., Sherman, M. G., et al. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1963216 · Cited by 636 · see citing works

Differential privacy and robust statistics

Dwork, C., & Lei, J. (2009) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/1536414.1536466 · Cited by 629 · see citing works

Pose estimation from corresponding point data

Haralick, R. M., Joo, H., Lee, C., Zhuang, X., Vaidya, V. G., & Kim, M. B. (1989) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.44063 · Cited by 648 · see citing works

Advances and challenges in super‐resolution

Farsiu, S., Robinson, D., Elad, M., et al. (2004) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20007 · Cited by 623 · see citing works

A Framework for Robust Subspace Learning

de la Torre, F. N., & Black, M. J. (2003) · International Journal of Computer Vision · doi:10.1023/a:1023709501986 · Cited by 601 · see citing works

RESTORE: Robust estimation of tensors by outlier rejection

Chang, L., Jones, D. K., & Pierpaoli, C. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20426 · Cited by 611 · see citing works

Locality Preserving Matching

Ma, J., Zhao, J. Y., Jiang, J., Zhou, H., & Guo, X. (2018) · International Journal of Computer Vision · doi:10.1007/s11263-018-1117-z · Cited by 615 · see citing works

Real-time visual tracking of complex structures

Drummond, T., & Cipolla, R. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017620 · Cited by 598 · see citing works

Person identification using multiple cues

Brunelli, R., & Falavigna, D. (1995) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.464560 · Cited by 595 · see citing works

Blanche-an experiment in guidance and navigation of an autonomous robot vehicle

Cox, I. J. (1991) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.75902 · Cited by 590 · see citing works

Bilateral Filtering: Theory and Applications

Paris, S., Kornprobst, P., Tumblin, J., & Durand, F. (2009) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000020 · Cited by 615 · see citing works

Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences

Pantic, M., & Patras, I. (2006) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2005.859075 · Cited by 580 · see citing works

Robust Point Matching via Vector Field Consensus

Ma, J., Zhao, J. Y., Tian, J., Yuille, A., & Zhuowen Tu, A. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2307478 · Cited by 566 · see citing works

Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

Figueiredo, M. A. T., Bioucas‐Dias, J. M., & Nowak, R. D. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.909318 · Cited by 548 · see citing works

Intermediate Statistics, Parastatistics, Fractionary Statistics and Gentileonic StatisticsPreprint

Cattani, M., & Bassalo, J. M. F. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0903.4773 · Cited by 3 · see citing works

Two-Parameter Modifications of Anyonic Statistics

Hornetska, M., & Rovenchak, A. A. (2016) · Ukrainian Journal of Physics · doi:10.15407/ujpe61.02.0168 · Cited by 2 · see citing works

Some Easy t Statistics

Horn, P. S. (1983) · Journal of the American Statistical Association · doi:10.1080/01621459.1983.10477042 · Cited by 47 · see citing works

LIMITING BEHAVIOR OF U-STATISTICS, V-STATISTICS, AND ONE SAMPLE RANK ORDER STATISTICS FOR NONSTATIONARY ABSOLUTELY REGULAR PROCESSES

HAREL, M., & PURI, M. L. (2003) · doi:10.1515/9783110917826.362 · Cited by 2 · see citing works

Descriptive Statistics

Ross, A. J., & Willson, V. L. (2017) · SensePublishers eBooks · doi:10.1007/978-94-6351-086-8_1 · Cited by 3 · see citing works