검색어 : 통합검색[Linear models (Statistics)]
총 19,343건 중 1,000건 출력
, 95/100 페이지
-
941
- Hypothesis testing in functional linear models
- Su, Yu‐ Ru; Di, Chong‐ Zhi; Hsu, Li; Biostatistics, Division of Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A.; Biostatistics, Division of Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A.; Biostatistics, Division of Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A.; (Biometrics, v.73, 2017, pp.551-561)
-
942
- Estimating Frailty Models via Poisson Hierarchical Generalized Linear Models
- Ha, Il Do; Lee, Youngjo; ; (Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, v.12, 2003, pp.663-681)
-
943
- Rank Regression Analysis of Multivariate Failure Time Data Based on Marginal Linear Models
- JIN, Z.; LIN, D. Y.; YING, Z.; Department of Biostatistics, Columbia University; Department of Biostatistics, University of North Carolina; Department of Statistics, Columbia University; (Scandinavian journal of statistics, theory and applications, v.33, 2006, pp.1-23)
-
944
- Permutation and Bayesian tests for testing random effects in linear mixed‐effects models
- Rao, Kaidi; Drikvandi, Reza; Saville, Benjamin; Statistics Section, Department of Mathematics, Imperial College London, London, UK; Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK; Berry Consultants, Austin, Texas; (Statistics in medicine, v.38, 2019, pp.5034-5047)
-
945
- R-estimation in linear models: algorithms, complexity, challenges
- Antoch, Jaromí r; Č erný , Michal; Miura, Ryozo; ; (Computational statistics, v.40, 2025, pp.405-439)
-
946
- Book Review: Statistical tests for mixed linear models
- Ravi, Sreenivasan; ; (Statistical methods in medical research, v.13, 2004, pp.85-85)
-
947
- Adjusting power for a baseline covariate in linear models
- Glueck, Deborah H.; Muller, Keith E.; Department of Preventive Medicine and Biometrics, University of Colorado Health Sciences Center, Denver, Colorado 80262, U.S.A.; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, U.S.A.; (Statistics in medicine, v.22, 2003, pp.2535-2551)
-
948
- Improved gradient statistic in heteroskedastic generalized linear models
- Barros, Fabiana U.; Botter, Denise A.; Sandoval, Mô nica C.; Magalhã es, Tiago M.; Department of Statistics, University of Sã o Paulo, Sã o Paulo, Brazil; Department of Statistics, University of Sã o Paulo, Sã o Paulo, Brazil; Department of Statistics, University of Sã o Paulo, Sã o Paulo, Brazil; Department of Statistics, Federal University of Juiz de Fora, Juiz de Fora, Brazil; (Journal of statistical computation and simulation, v.93, 2023, pp.2052-2066)
-
949
- Partial Functional Linear Models with ARCH Errors
- Wang, Yafei; Xie, Tianfa; Zhang, Zhongzhan; ; (Open journal of statistics, v.8, 2018, pp.345-361)
-
950
- Testing the linearity in partially linear models
- Li, Na; Xu, Xingzhong; Jin, Pei; ; (Journal of nonparametric statistics, v.23, 2011, pp.99-114)
QUICK MENU
