Theoretical Statistics

The geometry of case deletion and the assessment of influence in nonlinear regression

Ross, W. H. (1987) · Canadian Journal of Statistics · doi:10.2307/3315198 · Cited by 26

Trends in UK extreme sea-levels: a spatial approach

Dixon, M. J., & Tawn, J. A. (1992) · Geophysical Journal International · doi:10.1111/j.1365-246x.1992.tb02115.x · Cited by 26

Confidence bounds for the adjustment coefficient

Pitts, S. M., Grübel, R., & Embrechts, P. (1996) · Advances in Applied Probability · doi:10.2307/1428182 · Cited by 26

Null intercept measurement error regression models

Aoki, R., Bolfarine, H., & Singer, J. M. (2001) · Test · doi:10.1007/bf02595707 · Cited by 26

Predicting correlated responses in natural populations: changes in JHE activity in the Bermuda population of the sand cricket, Gryllus firmus

Roff, D. A., & Fairbairn, D. J. (1999) · Heredity · doi:10.1038/sj.hdy.6886010 · Cited by 23

Inference for threshold models with variance components from the generalized linear mixed model perspective

ENGEL, B., Buist, W. G., & Visscher, A. H. C. J. (1995) · Genetics Selection Evolution · doi:10.1186/1297-9686-27-1-15 · Cited by 26

The Discovery of Argon: A Case for Learning from Data?

Spanos, A. (2010) · Philosophy of Science · doi:10.1086/652961 · Cited by 25

Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain

Kimiskidis, V. Κ., Koutlis, C., Tsimpiris, A., et al. (2015) · International Journal of Neural Systems · doi:10.1142/s0129065715500185 · Cited by 25

A Return to an Old Paper: ‘Tests of Separate Families of Hypotheses’

Cox, D. (2013) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/rssb.12003 · Cited by 25

Quantifying and modelling industrial and commercial land-use demand in France

Ustaoğlu, E., Silva, F. B. E., & Lavalle, C. (2018) · Environment Development and Sustainability · doi:10.1007/s10668-018-0199-7 · Cited by 25

The Exponentiated Kumaraswamy-G Class: General Properties and Application

Silva, R. V., Gomes-Silva, F. S., Ramos, M., et al. (2019) · Revista Colombiana de Estadística · doi:10.15446/rce.v42n1.66205 · Cited by 25

Characterization of variability and trends in daily precipitation and temperature extremes in the Horn of Africa

Afuecheta, E., & Omar, M. H. (2021) · Climate Risk Management · doi:10.1016/j.crm.2021.100295 · Cited by 25

A new generalized gamma distribution with applications

Bourguignon, M., Lima, M. D. C. S., Leão, J., et al. (2015) · American Journal of Mathematical and Management Sciences · doi:10.1080/01966324.2015.1040178 · Cited by 25

Bias correction in a multivariate normal regression model with general parameterization

Patriota, A. G., & Lemonte, A. J. (2009) · Statistics & Probability Letters · doi:10.1016/j.spl.2009.04.018 · Cited by 25

Statistical Diagnostics for Skew-t-Normal Nonlinear Models

Lin, J., Xie, F., & Wei, B. (2009) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610910903249502 · Cited by 25

Construction of Confidence Intervals for the IVIean of a Population Containing Many Zero Values

Kvanli, A. H., Shen, Y. K., & Deng, L. Y. (1998) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1998.10524776 · Cited by 25

Multivariate Birnbaum–Saunders distribution: properties and associated inference

Lemonte, A. J., Martínez‐Flórez, G., & Moreno–Arenas, G. (2013) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2013.823964 · Cited by 25

Semi-supervised detection of collective anomalies with an application in high energy particle physics

Vatanen, T., Kuusela, M., Malmi, E., Raiko, T., Aaltonen, T., & Nagai, Y. (2012) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2012.6252712 · Cited by 26

Influence of cultural factors on price clustering and price resistance in China's stock markets

Cai, B. M., Cai, C. X., & Keasey, K. (2007) · Accounting and Finance · doi:10.1111/j.1467-629x.2007.00221.x · Cited by 25

A Strengthened Entropy Power Inequality for Log-Concave Densities

Toscani, G. (2015) · IEEE Transactions on Information Theory · doi:10.1109/tit.2015.2495302 · Cited by 25

The Rao–Blackwell theorem in stereology and some counterexamples

Baddeley, A. J., & Cruz-Orive, L. M. (1995) · Advances in Applied Probability · doi:10.2307/1428091 · Cited by 25

Estimating Upper Confidence Limits for Extra Risk in Quantal Multistage Models

Bailer, A. J., & Smith, R. J. (1994) · Risk Analysis · doi:10.1111/j.1539-6924.1994.tb00069.x · Cited by 25

Misspecified Mean Function Regression

Berk, R. A., Brown, L., Buja, A., George, E. I., Pitkin, E., Zhang, K., & Zhao, L. H. (2014) · Sociological Methods & Research · doi:10.1177/0049124114526375 · Cited by 26

A retrospective case‐control study of risk factors associated withSalmonella entericasubsp.entericaserovar Enteritidis infections on Dutch broiler breeder farms

Fris, C., & van den Bos, J. (1995) · Avian Pathology · doi:10.1080/03079459508419067 · Cited by 25

Tests of Linear Hypotheses and Lav Estimation: A Monte Carlo Comparison

Dielman, T. E., & Pfaffenberger, R. C. (1990) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610919008812911 · Cited by 25

Chow-type Tests Under Heteroscedasticity

Koschat, M. A., & Weerahandi, S. (1992) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1992.10509901 · Cited by 25

Bayes Methods for Outliers in Exponential Samples

Pettit, L. I. (1988) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1988.tb01734.x · Cited by 25

Specification and Estimation of Mean Structures: Regression Models

Arminger, G. (1995) · Springer eBooks · doi:10.1007/978-1-4899-1292-3_3 · Cited by 25

A Meta-Analysis of Homovanillic Acid Concentrations in Schizophrenia

Tuckwell, H. C., & Koziol, J. A. (1993) · International Journal of Neuroscience · doi:10.3109/00207459308987216 · Cited by 25

ASYMPTOTIC RELATIVE EFFICIENCY OF SOME TESTS OF FIT IN TIME SERIES MODELS

Saikkonen, P. (1983) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1983.tb00359.x · Cited by 25

Spatial and temporal water-level variations in the Texas portion of the Ogallala Aquifer

Neto, R. T. D. B., Santos, C. A. G., Mulligan, K. B., et al. (2015) · Natural Hazards · doi:10.1007/s11069-015-1971-8 · Cited by 24

Distributed Cox proportional hazards regression using summary-level information

Li, D., Lu, W., Shu, D., Toh, S., & Wang, R. (2022) · Biostatistics · doi:10.1093/biostatistics/kxac006 · Cited by 24

How reliable are design flood estimates in the UK ?

Kjeldsen, T. (2013) · Journal of Flood Risk Management · doi:10.1111/jfr3.12090 · Cited by 24

A lightweight rao-cauchy detector for additive watermarking in the dwt-domain

Kwitt, R., Meerwald, P., & Uhl, A. (2008) · ACM workshop on Multimedia and security · doi:10.1145/1411328.1411337 · Cited by 24

Heteroscedasticity diagnostics for t linear regression models

Lin, J., Zhu, L.-X., & Xie, F. (2008) · Metrika · doi:10.1007/s00184-008-0179-2 · Cited by 24

Robust Quantitative Trait Association Tests in the Parent‐Offspring Triad Design: Conditional Likelihood‐Based Approaches

Wang, J., & Tai, J. J. (2009) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2008.00502.x · Cited by 24

Heteroscedasticity and/or autocorrelation diagnostics in nonlinear models with AR(1) and symmetrical errors

Cao, C.-Z., Lin, J.-G., & Zhu, L.-X. (2008) · Statistical Papers · doi:10.1007/s00362-008-0171-y · Cited by 24

What does the proof of Birnbaum’s theorem prove?

Evans, M. J. (2013) · Electronic Journal of Statistics · doi:10.1214/13-ejs857 · Cited by 24

The statistical mechanics of a polygenic character under stabilizing selection, mutation and drift

de Vladar, H. P., & Barton, N. (2010) · Journal of The Royal Society Interface · doi:10.1098/rsif.2010.0438 · Cited by 24

Powerful multi‐marker association tests: unifying genomic distance‐based regression and logistic regression

Fang, H., & Pan, W. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20529 · Cited by 23

Is the choice of statistical paradigm critical in extreme event attribution studies?

Stott, P. A., Karoly, D. J., & Zwiers, F. W. (2017) · Climatic Change · doi:10.1007/s10584-017-2049-2 · Cited by 23

Joint Analysis of Longitudinal Data with Informative Right Censoring

Liu, M., & Ying, Z. (2007) · Biometrics · doi:10.1111/j.1541-0420.2007.00708.x · Cited by 24

Disease Mapping of Stage-Specific Cancer Incidence Data

Knorr‐Held, L., Raßer, G., & Becker, N. (2002) · Biometrics · doi:10.1111/j.0006-341x.2002.00492.x · Cited by 24

Space‐time cluster identification in point processes

Assunção, R., Tavares, A. I., Correa, T. R., et al. (2007) · Canadian Journal of Statistics · doi:10.1002/cjs.5550350105 · Cited by 24

Cellular immune response in the small intestine of two broiler chicken lines orally inoculated with malabsorption syndrome homogenates

Songserm, T., ENGEL, B., van Roozelaar, D. J., Kok, G. L., Pijpers, A., Pol, J. M. A., & Huurne, A. A. H. M. T. (2002) · Veterinary Immunology and Immunopathology · doi:10.1016/s0165-2427(01)00411-1 · Cited by 24

Skill in real‐time solar wind shock forecasts

Mozer, J. B., & Briggs, W. M. (2003) · Journal of Geophysical Research Atmospheres · doi:10.1029/2003ja009827 · Cited by 24

The Gamma–Poisson model as a statistical method to determine if micro-organisms are randomly distributed in a food matrix

Toft, N., Innocent, G. T., Mellor, D. J., et al. (2005) · Food Microbiology · doi:10.1016/j.fm.2005.01.014 · Cited by 24

Efficiency Gain from Auxiliary Data Requiring Additional Nuisance Parameters

Barker, R., & Kavalieris, L. (2001) · Biometrics · doi:10.1111/j.0006-341x.2001.00563.x · Cited by 24

Estimation and inference in spatial interaction models

Baxter, M. (1983) · Progress in Human Geography · doi:10.1177/030913258300700102 · Cited by 24

Sample sizes for repeated measurements in dichotomous data

Lui, K. (1991) · Statistics in Medicine · doi:10.1002/sim.4780100318 · Cited by 24

Score test for detecting linkage to complex traits in selected samples

Lebrec, J., Putter, H., & van Houwelingen, H. C. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20012 · Cited by 24

Improved estimation in negative binomial regression

Pagui, E. C. K., Salvan, A., & Sartori, N. (2022) · Statistics in Medicine · doi:10.1002/sim.9361 · Cited by 23

Negative Correlations in Visual Cortical Networks

Chelaru, M. I., & Dragoi, V. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu207 · Cited by 21

Adjusted Pearson residuals in exponential family nonlinear models

Simas, A. B., & Cordeiro, G. M. (2008) · Journal of Statistical Computation and Simulation · doi:10.1080/00949650701829380 · Cited by 23

Person Fit Analysis in Computerized Adaptive Testing Using Tests for a Change Point

Sinharay, S. (2016) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998616658331 · Cited by 23

Fourth-corner correlation is a score test statistic in a log-linear trait–environment model that is useful in permutation testing

ter Braak, C. J. F. (2017) · Environmental and Ecological Statistics · doi:10.1007/s10651-017-0368-0 · Cited by 23

On the Discrete Weibull Marshall–Olkin Family of Distributions: Properties, Characterizations, and Applications

Gillariose, J., Balogun, O. S., Almetwally, E. M., et al. (2021) · Axioms · doi:10.3390/axioms10040287 · Cited by 23

The High Concentration Tails Of The Probability Density Function Of A Dispersing Scalar In The Atmosphere

Munro, R. J., Chatwin, P. C., & MOLE, N. (2001) · Boundary-Layer Meteorology · doi:10.1023/a:1026526232294 · Cited by 23

An item response model for Likert-type data that incorporates response time in personality measurements

Meng, X., Tao, J., & Shi, N. (2012) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2012.692368 · Cited by 23

Application of Neural Network Models in Modelling Economic Time Series with Non-constant Volatility

Falát, L., Stanikova, Z., Ďurišová, M., et al. (2015) · Procedia Economics and Finance · doi:10.1016/s2212-5671(15)01674-3 · Cited by 23

Internal and external potential-field estimation from regional vector data at varying satellite altitude

Plattner, A., & Simons, F. J. (2017) · Geophysical Journal International · doi:10.1093/gji/ggx244 · Cited by 23

The prevalence of psychotic symptoms and paranoid ideation in non‐demented population samples aged 70–82 years

Sigström, R., Skoog, I. G., Sacuiu, S. F., et al. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2278 · Cited by 23

Acetylcholine Binding Site in the Vesicular Acetylcholine Transporter

Ojeda, A. M., Kolmakova, N. G., & Parsons, S. M. (2004) · Biochemistry · doi:10.1021/bi049562b · Cited by 23

Sample Size and the Strength of Evidence: A Bayesian Interpretation of Binomial Tests of the Information Content of Qualified Audit Reports

Johnstone, D. J. (1990) · Abacus · doi:10.1111/j.1467-6281.1990.tb00230.x · Cited by 20

Effects of Doppler Aliasing on Baseline Estimation in Multichannel SAR-GMTI and Solutions to Address These Effects

Liu, B., Wang, T., Li, Y., et al. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2296660 · Cited by 23

The analysis of irregularly observed stochastic astronomical time-series - I. Basics of linear stochastic differential equations

Koen, C. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09213.x · Cited by 23

Influence diagnostics in nonlinear reproductive dispersion models

Tang, N., Wei, B., & Wang, X. (2000) · Statistics & Probability Letters · doi:10.1016/s0167-7152(99)00087-5 · Cited by 23

The Likelihood Ratio Test for the Presence of Immunes in a Censored Sample

Zhou, S. X., & Maller, R. (1995) · Statistics · doi:10.1080/02331889508802521 · Cited by 23

Test Scores as Social Statistics: Comparing Distributions

Spencer, B. D. (1983) · Journal of Educational Statistics · doi:10.3102/10769986008004249 · Cited by 23

Testing the Markov condition in ion channel recordings

Timmer, J., & Klein, S. (1997) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.55.3306 · Cited by 23

Comparison of several confidence intervals for QTL location

Mangin, B., & Goffinet, B. (1997) · Heredity · doi:10.1038/hdy.1997.57 · Cited by 28

A statistical method for evaluating electrical failures

Barrett, J. S., & Green, M. A. (1994) · IEEE Transactions on Power Delivery · doi:10.1109/61.311215 · Cited by 23

ISMOD: an all-subsets regression program for generalized linear models. I. Statistical and computational background

Lawless, J. F., & Singhal, K. (1987) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(87)90022-8 · Cited by 23

Prevalence of female alcohol dependence and abuse in Sweden

Spak, F., & Hällström, T. (1995) · Addiction · doi:10.1111/j.1360-0443.1995.tb01066.x · Cited by 23

Assessing genomewide statistical significance in linkage studies

Lin, D. Y., & Zou, F. (2004) · Genetic Epidemiology · doi:10.1002/gepi.20017 · Cited by 24

Truthlikeness and Bayesian estimation

Niiniluoto, I. (1986) · Synthese · doi:10.1007/bf00540074 · Cited by 23

Inter-Site Eeg Relationships before Widespread Epileptiform Discharges

Inouye, T., Iyama, A., Shinosaki, K., et al. (1995) · International Journal of Neuroscience · doi:10.3109/00207459508994298 · Cited by 23

Dual‐Objective Item Selection Criteria in Cognitive Diagnostic Computerized Adaptive Testing

Kang, H., Zhang, S., & Chang, H. (2017) · Journal of Educational Measurement · doi:10.1111/jedm.12139 · Cited by 22

Re-Creation of Historical Chrysotile-Containing Joint Compounds

Brorby, G. P., Sheehan, P. J., Berman, D. W., Greene, J. F., & Holm, S. E. (2008) · Inhalation Toxicology · doi:10.1080/08958370802290595 · Cited by 22

Likelihood-Based Inferences under Isolation by Distance: Two-Dimensional Habitats and Confidence Intervals

Rousset, F., & Leblois, R. (2011) · Molecular Biology and Evolution · doi:10.1093/molbev/msr262 · Cited by 22

Tests of Proportional Hazards and Proportional Odds Models for Grouped Survival Data

Colosimo, E. A., Silveira, L. V. D. A., & Demétrio, C. G. B. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.01233.x · Cited by 22

Measure-Transformed Quasi-Maximum Likelihood Estimation

Todros, K., & Hero, A. O. (2016) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2016.2621732 · Cited by 22

Experimentally derived likelihoods for light‐based geolocation

Basson, M., Bravington, M. V., Hartog, J. R., & Patterson, T. A. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12555 · Cited by 23

Which Statistic Should Be Used to Detect Item Preknowledge When the Set of Compromised Items Is Known?

Sinharay, S. (2017) · Applied Psychological Measurement · doi:10.1177/0146621617698453 · Cited by 22

Double Poisson-Tweedie Regression Models

Petterle, R. R., Bonat, W. H., Kokonendji, C. C., et al. (2019) · The International Journal of Biostatistics · doi:10.1515/ijb-2018-0119 · Cited by 22

A Characterization of the Poisson Distribution and the Probability of Winning a Game

Keller, J. B. (1994) · The American Statistician · doi:10.1080/00031305.1994.10476084 · Cited by 22

Higher‐order asymptotics under model misspecification

Viraswami, K., & Reid, N. M. (1996) · Canadian Journal of Statistics · doi:10.2307/3315632 · Cited by 22

The bystander effect model of Brenner and Sachs fitted to lung cancer data in 11 cohorts of underground miners, and equivalence of fit of a linear relative risk model with adjustment for attained age and age at exposure

Little, M. P. (2004) · Journal of Radiological Protection · doi:10.1088/0952-4746/24/3/003 · Cited by 22

Breast cancer risk after radiotherapy for heritable and non-heritable retinoblastoma: a US–UK study

Little, M. P., Schaeffer, M. L., Reulen, R. C., Abramson, D. H., Stovall, M. A., Weathers, R. E., de Vathaire, F., Diallo, I., Seddon, J. M., Hawkins, M. M., et al. (2014) · British Journal of Cancer · doi:10.1038/bjc.2014.193 · Cited by 22

High Moment Partial Sum Processes of Residuals in ARMA Models and their Applications

Hao, Y. (2006) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.2006.00499.x · Cited by 22

Examining Outlying Subjects and Outlying Records in Bioequivalence Trials

Wang, W., & Chow, S. (2003) · Journal of Biopharmaceutical Statistics · doi:10.1081/bip-120017725 · Cited by 22

Linkage detection under heterogeneity and the mixture problem

Chiano, M. N., & Yates, J. R. W. (1995) · Annals of Human Genetics · doi:10.1111/j.1469-1809.1995.tb01607.x · Cited by 22

Assessment of disease risk in relation to a pre-specified source

Morris, S. E., & Wakefield, J. C. (2001) · doi:10.1093/acprof:oso/9780198515326.003.0009 · Cited by 22

Goodness of Prediction Fit for Multivariate Linear Models

Keyes, T. K., & Levy, M. S. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476676 · Cited by 22

Job satisfaction of staff registered nurses in primary and team nursing delivery systems

Carlsen, R. H., & Malley, J. D. (1981) · Research in Nursing & Health · doi:10.1002/nur.4770040207 · Cited by 22

A Goodness-Of-Fit Test for the von Mises–Fisher Distribution

Mardia, K. V., Holmes, D., & Kent, J. T. (1984) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1984.tb01278.x · Cited by 21

A confusion index for measuring separation and clustering

Longford, N. T., & Bartošová, J. (2014) · Statistical Modelling · doi:10.1177/1471082x13503454 · Cited by 21

On Sequencing Two Types of Tasks on a Single Processor under Incomplete Information

Burnetas, A., & Katehakis, M. N. (1993) · Probability in the Engineering and Informational Sciences · doi:10.1017/s0269964800002801 · Cited by 21

Structural Seismic Reliability Analysis

Sankararaman, S. (2014) · Encyclopedia of Earthquake Engineering · doi:10.1007/978-3-642-36197-5_280-1 · Cited by 2

Untitled work

Papke (1996) · doi:10.1002/(sici)1099-1255(199611)11:6

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

Some Easy t Statistics

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

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

Diagnostic Statistics and Predictive Statistics as a Re-Definition to Inferential Statistics

Abdelfattah, E. H. (2021) · Book Publisher International (a part of SCIENCEDOMAIN International) · doi:10.9734/bpi/ramrcs/v3/12226d

Statistics, Descriptive

Lee, J. (2009) · Elsevier eBooks · doi:10.1016/b978-008044910-4.00534-4 · Cited by 5