The Probable Error of a Mean

Commentary: On RA Fisher's Bateson lecture on statistical methods in genetics

Box, J. F. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyp376 · Cited by 9

Risk, VaR, CVaR and Their Associated Portfolio Optimizations When Asset Returns Have a Multivariate Student T DistributionPreprint

Shaw, W. T. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1772731 · Cited by 9

The Data Sets

Hand, D. J., Daly, F., Lunn, A. D., McConway, K., & Ostrowski, E. (1994) · Springer eBooks · doi:10.1007/978-1-4899-7266-8_1 · Cited by 9

Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study

Lang, A.-L., Bruhn, R.-L., Fehling, M., Heidenreich, A., Reisdorf, J., Khanyaree, I., Henningsen, M., & Remschmidt, C. (2024) · JMIR mhealth and uhealth · doi:10.2196/50135 · Cited by 8

Experimental Designs and Statistical Analyses for Rootstock Trials

Marini, R. P. (2024) · Agronomy · doi:10.3390/agronomy14102312 · Cited by 9

Potential of Streptomyces rochei G-6 for Biocontrol of Cucumber Wilt Disease and Growth Enhancement

Zhu, C., Li, X., Gao, Y., Yang, X., Gao, Y., & Li, K. (2024) · Journal of Fungi · doi:10.3390/jof10120885 · Cited by 8

Chemodiverse cell system responses to UV in an algal sister of land plants

Kunz, C. F., Abreu, I. N., Darienko, T., Fürst‐Jansen, J. M. R., Feussner, K., Feußner, I., Lorenz, M., & de Vries, J. (2026) · Current Biology · doi:10.1016/j.cub.2026.04.015 · Cited by 8

Cytotechnologist-attended on-site evaluation of adequacy for fine-needle aspiration of bone and soft tissue neoplasms

Olson, M. T., Novak, A., Boonyaarunnate, T., Shahid, H., Kirby, J. W., & Ali, S. Z. (2013) · Journal of the American Society of Cytopathology · doi:10.1016/j.jasc.2013.07.002 · Cited by 8

Titan mice as a model to test interventions that attenuate frailty and increase longevity

Gille, B., Müller-Eigner, A., Gottschalk, S., Wytrwat, E., Langhammer, M., & Peleg, S. (2024) · GeroScience · doi:10.1007/s11357-023-01045-4 · Cited by 8

NestedChain: “Blockchain-inside-a-Blockchain” new generation prototype

Maldonado-Ruiz, D., Pulval-Dady, A., Shi, Y., Wang, Z., Madhoun, N. E., & Torres, J. (2024) · Annals of Telecommunications · doi:10.1007/s12243-024-01030-8 · Cited by 8

A Priori Relevance Based On Quality and Diversity Of Social Signals

Badache, I., & Boughanem, M. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767807 · Cited by 8

The Influence of Hydromorphological Stressors on Estuarine Vegetation Indicators

Recio, M., Ondiviela, B., Puente, A., Galván, C., Gómez, A. G., & Juanes, J. A. (2013) · Estuaries and Coasts · doi:10.1007/s12237-013-9607-2 · Cited by 8

In vitro and in vivo genotoxicity studies on monosodium L-glutamate monohydrate

Takumi, A., Kawamata, Y., Sakai, R., & Narita, T. (2019) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2019.05.024 · Cited by 8

Typical indigenous bacteria in the cecum of ddY mice fed a casein–beef tallow diet or whole‐egg diet

Fukunaga, M., Suriki, K., Kuda, T., Shikano, A., Toyama, A., Takahashi, H., & Kimura, B. (2019) · Journal of Food Biochemistry · doi:10.1111/jfbc.13064 · Cited by 7

An Emulation of Randomized Trials of Administrating Antipsychotics in PTSD Patients for Outcomes of Suicide-Related Events

Delapaz, N. R., Hor, W. K., Gilbert, M., La, A. D., Liang, F., Fan, P., Qi, X., Guo, X., Ying, J., Sakolsky, D. J., et al. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11030178 · Cited by 10

Clinical Validation of the Greek Version of the Acute Cystitis Symptom Score (ACSS)—Part II

Stamatiou, K. N., Samara, E., Alidjanov, J. F., Pilatz, A. M. E., Naber, K. G., & Wagenlehner, F. R. A. (2021) · Antibiotics · doi:10.3390/antibiotics10101253 · Cited by 8

Teaching: confidence, prediction and tolerance intervals in scientific practice: a tutorial on binary variables

Hartnack, S., & Roos, M. (2021) · Emerging Themes in Epidemiology · doi:10.1186/s12982-021-00108-1 · Cited by 8

Laboratory measurements of the 3.7–20cm wavelength opacity of sulfur dioxide and carbon dioxide under simulated conditions for the deep atmosphere of Venus

Steffes, P. G., Shahan, P., Barisich, G. C., & Bellotti, A. (2014) · Icarus · doi:10.1016/j.icarus.2014.09.012 · Cited by 8

The role of metrology in making chemistry sustainable

Meinrath, G., & Kalin, M. (2005) · Accreditation and Quality Assurance · doi:10.1007/s00769-005-0017-4 · Cited by 8

Assessing the trade‐offs between crossover and parallel group designs in sleep research

Berry, C. C., Moore, P., & Dimsdale, J. E. (2006) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2006.00546.x · Cited by 8

The relation of maturity of the grapes to the yield, composition, and quality of raisins

Jacob, H. E. (1942) · Hilgardia · doi:10.3733/hilg.v14n06p321 · Cited by 8

THE ALIGNMENT OF GALAXY STRUCTURES

Biernacka, M., Panko, E., Bajan, K., Godłowski, W., & Flin, P. (2015) · The Astrophysical Journal · doi:10.1088/0004-637x/813/1/20 · Cited by 8

Higher Risk of Light-Induced Retinal Damage Due to Increase of Intraocular Irradiance by Endoillumination

Koelbl, P. S., Heßling, M., Lingenfelder, C., & Kupferschmid, S. (2018) · Ophthalmology and Therapy · doi:10.1007/s40123-018-0157-3 · Cited by 8

Assessing the Statistical Significance of the Achieved Classification Error of Classifiers Constructed using Serum Peptide Profiles, and a Prescription for Random Sampling Repeated Studies for Massive High-Throughput Genomic and Proteomic Studies

Lyons‐Weiler, J., Pelikan, R. C., Herbert, J. Z., Whitcomb, D. C., Malehorn, D. E., Bigbee, W. L., & Hauskrecht, M. (2005) · Cancer Informatics · doi:10.1177/117693510500100108 · Cited by 8

Kinetic study of aggregation of milk protein and/or surfactant-stabilized oil-in-water emulsions by Sedimentation Field-Flow Fractionation

Κέντα, Σ., Raikos, V., Vagena, A., Sevastos, D., Kapolos, J., Koliadima, A., & Karaiskakis, G. (2013) · Journal of Chromatography A · doi:10.1016/j.chroma.2013.07.061 · Cited by 8

JAK2-V617F mutation in Moroccan patients with myeloproliferative disorders: contribution, diagnosis and therapeutic prospects.

Benmoussa, A., Dehbi, H., Fehri, S., Quessar, A., & Nadifi, S. (2011) · Pathologie et biologie · doi:10.1016/j.patbio.2009.06.005 · Cited by 13

Data-Driven Predictive Models of Diffuse Low-Grade Gliomas Under Chemotherapy

Abdallah, M. B., Blonski, M., Wantz-Mézières, S., Gaudeau, Y., Taillandier, L., Moureaux, J.-M., Darlix, A., de Champfleur, N. M., & Duffau, H. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2834159 · Cited by 8

Understanding Statistical Significance: A Conceptual History

Little, J. P. (2001) · Journal of Technical Writing and Communication · doi:10.2190/tul8-x9n5-n000-8lkv · Cited by 8

Increased thromboxane A2 synthesis by rat lung neutrophils during selenium deficiency

Eskew, M. L., Zarkower, A., Scheuchenzuber, W. J., Hildenbrandt, G. R., Scholz, R. W., & Reddy, C. C. (1993) · Prostaglandins · doi:10.1016/0090-6980(93)90097-q · Cited by 8

THE PATTERN OF BREWING RESEARCH: A PERSONAL VIEW OF THE HISTORY OF BREWING CHEMISTRY IN THE BRITISH ISLES*

Anderson, R. G. W. (1992) · Journal of the Institute of Brewing · doi:10.1002/j.2050-0416.1992.tb01095.x · Cited by 8

Intestinal Absorption of Glucose in Protein-deficient and in Starving Rats

Heller, H. (1954) · British Journal Of Nutrition · doi:10.1079/bjn19540055 · Cited by 8

S-MARKS: A Middleware Secure by Design for the Pervasive Computing Environment

Ahamed, S. I., Haque, M. M., & Asif, K. M. I. (2007) · doi:10.1109/itng.2007.172 · Cited by 8

The rise of quantitative methods in psychology

Cousineau, D. (2005) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.01.1.p001 · Cited by 8

Variations in the Pigment and Vitamin A Contents of Egg Yolk

Grimbleby, F. H., & Black, D. J. G. (1950) · British Journal Of Nutrition · doi:10.1079/bjn19500057 · Cited by 8

Measurement of the molecular weight distributions in human muscular deoxyribonucleic acid

Zahn, R. K. (1983) · Mechanisms of Ageing and Development · doi:10.1016/0047-6374(83)90089-1 · Cited by 8

Statistical evaluation of sister chromatid exchanges

Vercauteren, P., Meulepas, E., VLIETINCK, R. F., Cassiman, J. J., & BERGHE, H. V. D. (1984) · Human Genetics · doi:10.1007/bf00270559 · Cited by 8

Nutrition support in hospitalised adults at nutritional risk

Feinberg, J. B., Nielsen, E. E., Gluud, C. N., Lindschou, J., Kondrup, J., & Jakobsen, J. C. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011598 · Cited by 8

Robust radio interferometric calibration

Yatawatta, S., & Kazemi, S. (2014) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2014.6854633 · Cited by 7

Shortwave Radiative Flux Variability Through the Lens of the Pacific Decadal Oscillation

Chtirkova, B., Folini, D., Correa, L. F., & Wild, M. (2024) · Journal of Geophysical Research Atmospheres · doi:10.1029/2023jd040520 · Cited by 7

Physical influence on larvicidal and pupicidal activity of the silicone-based monomolecular film

Ngrenngarmlert, W., Sukkanon, C., Yaicharoen, R., & Chareonviriyaphap, T. (2016) · Acta Tropica · doi:10.1016/j.actatropica.2016.07.012 · Cited by 7

Hypothesis Testing and Statistics

Bonamente, M. (2016) · Graduate texts in physics · doi:10.1007/978-1-4939-6572-4_7 · Cited by 7

Reprint of “The Single-Case Reporting Guideline In BEhavioural Interventions (SCRIBE) 2016: Explanation and Elaboration”

Tate, R. L., Perdices, M., Rosenkoetter, U., McDonald, S., Togher, L., Shadish, W. R., Horner, R. H., Kratochwill, T. R., Barlow, D. H., Kazdin, A. E., et al. (2019) · Pratiques Psychologiques · doi:10.1016/j.prps.2019.03.001 · Cited by 10

Visualization According to Statisticians: An Interview Study on the Role of Visualization for Inferential Statistics

Newburger, E., & Elmqvist, N. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3326521 · Cited by 7

Introductory Statistics with R for Educational Researchers

Tikka, S., Kopra, J., Heinäniemi, M., López‐Pernas, S., & Saqr, M. (2024) · Springer eBooks · doi:10.1007/978-3-031-54464-4_5 · Cited by 7

Artificial Intelligence-Based Detection of Light Points: An Aid for Night-Time Visibility Observations

Gáborčíková, Z., Bartók, J., Ondík, I. M., Benešová, W., Ivica, L., Hnilicová, S., & Gaál, L. (2024) · Atmosphere · doi:10.3390/atmos15080890 · Cited by 7

Enabling per-file data recovery from ransomware attacks via file system forensics and flash translation layer data extraction

Dafoe, J., Chen, N., Chen, B., & Wang, Z. (2024) · Cybersecurity · doi:10.1186/s42400-024-00287-9 · Cited by 7

Sagittal rotational stiffness and damping increase in a porcine lumbar spine with increased or prolonged loading

Zondervan, R. L., Popovich, J. M., Radcliffe, C. J., Pathak, P. K., & Reeves, N. P. (2016) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2016.02.002 · Cited by 7

Genesis and geomorphic evolution of the Velké pinky stopes in the Zlatohorská Highlands, Eastern Sudetes

Lenart, J., Tichavský, R., Večeřa, J., Kapustová, V., & Šilhán, K. (2017) · Geomorphology · doi:10.1016/j.geomorph.2017.08.031 · Cited by 7

A framework for the recovery and visualization of system availability scenarios from execution traces

Hassine, J., Hamou‐Lhadj, A., & Alawneh, L. M. (2017) · Information and Software Technology · doi:10.1016/j.infsof.2017.11.007 · Cited by 7

Asymmetric Insular Connectomics Revealed by Diffusion Magnetic Resonance Imaging Analysis of Healthy Brain Development

Levman, J. E. D., Fang, Z., Zumwalt, K., Cogger, L., Vasung, L., MacDonald, P., Lim, A., & Takahashi, E. (2018) · Brain Connectivity · doi:10.1089/brain.2018.0582 · Cited by 7

The effects of sample age and taxonomic origin on the success rate of DNA barcoding when using herbarium material

Korpelainen, H., & Pietiläinen, M. (2019) · Plant Systematics and Evolution · doi:10.1007/s00606-019-01568-4 · Cited by 7

Ferromagnetic instability for the single-band Hubbard model in the strong-coupling regime

Kamogawa, Y., Nasu, J., & Koga, A. (2019) · Physical review. B./Physical review. B · doi:10.1103/physrevb.99.235107 · Cited by 7

Acceleration of coastal-retreat rates for high-Arctic rock cliffs on Brøggerhalvøya, Svalbard, over the past decade

Aga, J., Piermattei, L., Girod, L., Aalstad, K., Eiken, T., Kääb, A., & Westermann, S. (2024) · Earth Surface Dynamics · doi:10.5194/esurf-12-1049-2024 · Cited by 10

Nonlinear effects of electric fields in the Belousov-Zhabotinsky reaction dissolved in a microemulsion

Pfeiffer, P., & Müller, S. C. (2015) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4919217 · Cited by 7

Effective Truncation of a Student’s t-Distribution by Truncation of the Chi Distribution in a Chi-Normal Mixture

Cassidy, D. T. (2012) · Open Journal of Statistics · doi:10.4236/ojs.2012.25067 · Cited by 7

On weighted approximations in D[0, 1] with applications to self-normalized partial sum processes

Csörgő, M., Szyszkowicz, B., & Wang, Q. (2008) · Acta Mathematica Academiae Scientiarum Hungaricae · doi:10.1007/s10474-008-7216-5 · Cited by 7

Putting victims in prison

Barr, T. S. A. (2013) · Restorative Justice · doi:10.5235/20504721.1.3.389 · Cited by 7

Uncertainty visualization of multi-providers cartographic integration

Berjawi, B., Duchateau, F., Chesneau, É., Favetta, F., Seccia, G., Cunty, C., Miquel, M., & Laurini, R. (2014) · Journal of Visual Languages & Computing · doi:10.1016/j.jvlc.2014.10.033 · Cited by 7

Effects of an introductory geography course on student perceptions of geography at the University of Idaho

Bowlick, F. J., & Kolden, C. A. (2013) · Journal of Geography in Higher Education · doi:10.1080/03098265.2013.801068 · Cited by 7

Testing Serial Crime Events for Randomness in Day‐of‐Week Patterns with Small Samples

Wheeler, A. P. (2015) · Journal of Investigative Psychology and Offender Profiling · doi:10.1002/jip.1449 · Cited by 7

Methodology for high-yield acquisition of functional near-infrared spectroscopy data from alert, upright infants

Goodwin, J. R., Cannaday, A. E., Palmeri, H., Mata, A. D. C., Emberson, L. L., & Aslin, R. Ν. (2016) · Neurophotonics · doi:10.1117/1.nph.3.3.031415 · Cited by 7

Functions of Random Variables and Error Propagation

Bonamente, M. (2016) · Graduate texts in physics · doi:10.1007/978-1-4939-6572-4_4 · Cited by 7

Self-normalization: Taming a wild population in a heavy-tailed world

Shao, Q.-M., & Zhou, W. (2017) · Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao · doi:10.1007/s11766-017-3552-y · Cited by 7

Learning from small datasets containing nominal attributes

Li, D., Chen, H.-Y., & Shi, Q.-S. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.02.069 · Cited by 7

Field Monitoring of Downspout Disconnections to Reduce Runoff Volume and Improve Water Quality along the North Carolina Coast

Taguchi, V. J., Carey, E. S., & Hunt, W. F. (2018) · Journal of Sustainable Water in the Built Environment · doi:10.1061/jswbay.0000872 · Cited by 7

A generalization of Poisson-Sujatha distribution and its applications to ecology

Shanker, R., & Shukla, K. K. (2019) · International Journal of Biomathematics · doi:10.1142/s179352451950013x · Cited by 7

Predicting Memory Compiler Performance Outputs Using Feed-forward Neural Networks

Last, F., Haeberlein, M., & Schlichtmann, U. (2020) · ACM Transactions on Design Automation of Electronic Systems · doi:10.1145/3385262 · Cited by 7

Enhancing the dark side: asymmetric gain of cone photoreceptors underpins their discrimination of visual scenes based on skewness

Yedutenko, M., Howlett, M. H. C., & Kamermans, M. (2021) · The Journal of Physiology · doi:10.1113/jp282152 · Cited by 7

EXAMPLES RELEVANT TO THE ROBUSTNESS OF APPLIED INFERENCES**Research supported in part by National Science Foundation Grant MCS75-01493.

Dempster, A. P. (1977) · Elsevier eBooks · doi:10.1016/b978-0-12-307560-4.50010-7 · Cited by 7

Practice Oriented and Monte Carlo Based Estimation of the Value-at-Risk for Operational Risk Measurement

Greselin, F., Piacenza, F., & Zitikis, R. (2019) · Risks · doi:10.3390/risks7020050 · Cited by 7

A century of mammal research: changes in research paradigms and emphases

Bradley, R. D., & Dowler, R. C. (2018) · Journal of Mammalogy · doi:10.1093/jmammal/gyy147 · Cited by 8

Glucocorticosteroids for people with alcoholic hepatitis (Cochrane review)

Pavlov, C. S., Varganova, D. L., Casazza, G., Tsochatzis, E. A., Nikolova, D., & Gluud, C. N. (2019) · Terapevticheskii arkhiv · doi:10.26442/00403660.2019.08.000354 · Cited by 7

The Monte Carlo Method for Array Criticality Calculations

Dickinson, D., & Whitesides, G. E. (1976) · Nuclear Technology · doi:10.13182/nt76-a31614 · Cited by 7

Lack of Initiating Activity of Kojic Acid on Hepatocarcinogenesis in F344 Rats

Watanabe, T., Mori, T., Kitamura, Y., Umemura, T., Okamura, M., Kashida, Y., Nishikawa, A., Hirose, M., & Mitsumori, K. (2005) · Journal of Toxicologic Pathology · doi:10.1293/tox.18.79 · Cited by 7

Service sharing with trust in pervasive environment

Ahamed, S. I., Haque, M. M., & Talukder, N. (2008) · ACM Symposium on Applied Computing · doi:10.1145/1363686.1364070 · Cited by 7

Estimating crustal thickness in Belgium and surrounding regions from Moho-reflected waves

Sichien, E., Henriet, J. ‐., Camelbeeck, T., & Bernard De Baets, C. (2012) · Tectonophysics · doi:10.1016/j.tecto.2012.06.050 · Cited by 7

Evaluation of the genotoxic potential of three phenyltetrahydropyridinyl butylazole-derived sigma-receptor ligand drug candidates

Guzmán, A., García, C., Marín, A., Proudlock, R. J., de Henestrosa, A. R. F., Ruiz, M. T., Tortajada, A., Lloyd, M., & Marcos, R. (2008) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2008.03.011 · Cited by 7

Field studies of the temporal response patterns of male Diabrotica virgifera virgifera LeConte and D. barberi Smith and Lawrence to 8 R ‐methyl‐2 R ‐decyl propanoate

DOBSON, I. D., & Teal, P. E. A. (1986) · Physiological Entomology · doi:10.1111/j.1365-3032.1986.tb00431.x · Cited by 7

Induction of liver preneoplastic foci in F344 rats subjected to 28-day oral administration of diheptyl phthalate and its in vivo genotoxic potential

Jin, M., Dewa, Y., Kawai, M., Nishimura, J., Saegusa, Y., Kemmochi, S., Harada, T., Shibutani, M., & Mitsumori, K. (2009) · Toxicology · doi:10.1016/j.tox.2009.07.006 · Cited by 7

Elektromyographische und histologische Untersuchungen zur Frage der Entstehung des muskul�ren Schiefhalses und des angeborenen Schulterblatthochstandes

T�nnis, D. (1964) · Archives of Orthopaedic and Trauma Surgery · doi:10.1007/bf00418766 · Cited by 7

Statistical comparison of a new rheological method for defining changes in mash consistency during mashing with the established Rapid Visco Analyser

Schnitzenbaumer, B., Arendt, E. K., & Titze, J. (2012) · Journal of Cereal Science · doi:10.1016/j.jcs.2012.09.008 · Cited by 6

Morphological characterization of dermal denticles of the Broadnose Sevengill Shark Notorynchus cepedianus (Elasmobranchii: Hexanchidae)

Kanagusuku, K., Dufflocq, P., Sánchez-Rea, A., Huamantinco, A. A., & Ramírez‐Amaro, S. (2021) · Universitas Scientiarum · doi:10.11144/javeriana.sc26-3.mcod · Cited by 6

The flavonoid kaempferol protects the fruit fly Drosophila melanogaster against the motor impairment produced by exposure to the insecticide fipronil

Ramírez-Moreno, D. M., Lubinus, K. F., & Riveros, A. J. (2022) · Journal of Experimental Biology · doi:10.1242/jeb.244556 · Cited by 7

Unlocking the Promise of Decellularized Pancreatic Tissue: A Novel Approach to Support Angiogenesis in Engineered Tissue

Hao, L., Khajouei, F., Rodriguez, J., Kim, S., & Lee, E. J. (2024) · Bioengineering · doi:10.3390/bioengineering11020183 · Cited by 6

Lifetime healthcare expenditures across socioeconomic groups

Kallestrup‐Lamb, M., & Marin, A. O. K. (2024) · BMC Public Health · doi:10.1186/s12889-024-20209-1 · Cited by 6

The Significance Test Controversy Revisited

Lecoutre, B., & Poitevineau, J. (2014) · SpringerBriefs in statistics · doi:10.1007/978-3-662-44046-9_5 · Cited by 6

Loss of Internal Backbone Carbonyls: Additional Evidence for Sequence-Scrambling in Collision-Induced Dissociation of y-Type Ions

Harper, B., Miladi, M., & Solouki, T. (2014) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-014-0955-3 · Cited by 6

Assessing wave climate trends in the Bay of Biscay through an intercomparison of wave hindcasts and reanalyses

Paris, F., Lecacheux, S., Idier, D., & Charles, E. (2014) · Ocean Dynamics · doi:10.1007/s10236-014-0746-1 · Cited by 6

Semantic-Improved Color Imaging Applications: It Is All About Context

Lindner, A. J., & Susstrunk, S. E. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2410175 · Cited by 6

Use of relevant data, quantitative measurements, and statistical models to calculate a likelihood ratio for a Chinese forensic voice comparison case involving two sisters

Zhang, C., Morrison, G. S., & Enzinger, E. (2016) · Forensic Science International · doi:10.1016/j.forsciint.2016.08.017 · Cited by 6

Long-Term Outcome of Rockwood Capsular Shift for Recurrent Shoulder Dislocation

Murena, L., Guindani, N., Turino, S., Grassi, F. A., & Cherubino, P. (2016) · Journal of orthopaedic surgery · doi:10.1177/1602400325 · Cited by 6

Using Learning Analytics to Understand Scientific Modeling in the Classroom

Quigley, D., McNamara, C., Ostwald, J. L., & Sumner, T. (2017) · Frontiers in ICT · doi:10.3389/fict.2017.00024 · Cited by 7

Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines

Anderson, A. W., Dubois, S., Cuesta‐Infante, A., & Veeramachaneni, K. K. (2017) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2017.82 · Cited by 6

Promises and Perils of Inferring Personality on GitHub

van Mil, F., Rastogi, A., & Zaidman, A. (2021) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1145/3475716.3475775 · Cited by 5

Removal and replacement of interference in tied-array radio pulsar observations using the spectral kurtosis estimator

Purver, M. B., Bassa, C., Cognard, I., Janssen, G. H., Karuppusamy, R., Kramer, M., Lee, K., Liu, K., McKee, J. W., Perrodin, D., et al. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab3434 · Cited by 6

Tropical influence on heat-generating atmospheric circulation over Australia strengthens through spring

McKay, R. C., Arblaster, J. M., & Hope, P. K. (2022) · Weather and Climate Dynamics · doi:10.5194/wcd-3-413-2022 · Cited by 6

Ecological Characterization and Bio-Mitigation Potential of Heavy Metal Contamination in Metallurgically Affected Soil

Hovhannisyan, V., Vaseashta, A., Avanesyan, L. G., Sadoyan, R. R., Gasparyan, A., Shogheryan, S. A., Harutyunova, L., Mirumyan, L., & Gevorgyan, G. (2022) · Applied Sciences · doi:10.3390/app12136312 · Cited by 6

Transferable intervalization and midpoint de-mixing interval independent component analysis for industrial fault detection under data uncertainty

Zhang, S., Wang, S., Dong, F., & Zhao, C. (2024) · Measurement · doi:10.1016/j.measurement.2024.115025 · Cited by 6

The Use of Statistical Tests to Calibrate the Black-Scholes Asset Dynamics Model Applied to Pricing Options with Uncertain Volatility

Fatone, L., Marıanı, F., Recchioni, M. C., & Zirilli, F. (2012) · Journal of Probability and Statistics · doi:10.1155/2012/931609 · Cited by 6

On the physical interpretation of statistical data from black-box systems

Eliazar, I., & Cohen, M. H. (2013) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2013.02.021 · Cited by 6

On the Probable Error of Mean-Square Contingency

BLAKEMAN, J., & Pearson, K. (1906) · Biometrika · doi:10.2307/2331660 · Cited by 2

ON THE PROBABLE ERROR OF BISERIAL

Pearson, K. (1917) · Biometrika · doi:10.1093/biomet/11.4.292

The Law of Error.

E., W. P., Edgeworth, F. Y., & Charlier, C. V. L. (1906) · Biometrika · doi:10.2307/2331663 · Cited by 2

TABLES FOR FACILITATING THE COMPUTATION OF PROBABLE ERRORS

GIBSON, W. (1906) · Biometrika · doi:10.1093/biomet/4.4.385 · Cited by 2

On Certain Points Concerning the Probable Error of the Standard Deviation

Pearl, R. (1908) · Biometrika · doi:10.2307/2331564 · Cited by 1