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Journal articles on the topic 'Generalized linear models'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 March 2025

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1

Schuenemeyer, John H., P. McCullagh, and J. A. Nelder. "Generalized Linear Models." Technometrics 34, no. 2 (May 1992): 224. http://dx.doi.org/10.2307/1269238.

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2

Lachenbruch, P. A., P. McCullagh, and J. A. Nelder. "Generalized Linear Models." Biometrics 46, no. 4 (December 1990): 1231. http://dx.doi.org/10.2307/2532465.

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3

Hilbe, Joseph M. "Generalized Linear Models." American Statistician 48, no. 3 (August 1994): 255. http://dx.doi.org/10.2307/2684732.

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4

Hu, X. Joan. "Generalized Linear Models." American Statistician 57, no. 1 (February 2003): 67–68. http://dx.doi.org/10.1198/tas.2003.s212.

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5

Hilbe, Joseph M. "Generalized Linear Models." American Statistician 48, no. 3 (August 1994): 255–65. http://dx.doi.org/10.1080/00031305.1994.10476073.

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6

Ziegel, Eric R. "Generalized Linear Models." Technometrics 44, no. 3 (August 2002): 287–88. http://dx.doi.org/10.1198/004017002320256422.

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7

Thompson, W. A., P. McCullagh, J. A. Nelder, and Annette J. Dobson. "Generalized Linear Models." Journal of the American Statistical Association 80, no. 392 (December 1985): 1066. http://dx.doi.org/10.2307/2288581.

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8

Burridge, Jim, P. McCullagh, and J. A. Nelder. "Generalized Linear Models." Journal of the Royal Statistical Society. Series A (Statistics in Society) 154, no. 2 (1991): 361. http://dx.doi.org/10.2307/2983054.

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9

McCulloch, Charles E. "Generalized Linear Models." Journal of the American Statistical Association 95, no. 452 (December 2000): 1320–24. http://dx.doi.org/10.1080/01621459.2000.10474340.

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10

Pukelsheim, F. "Generalized linear models." Metrika 33, no. 1 (December 1986): 290. http://dx.doi.org/10.1007/bf01894758.

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11

Burzykowski, Tomasz, Melvin Geubbelmans, Axel-Jan Rousseau, and Dirk Valkenborg. "Generalized linear models." American Journal of Orthodontics and Dentofacial Orthopedics 164, no. 4 (October 2023): 604–6. http://dx.doi.org/10.1016/j.ajodo.2023.07.005.

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12

Neuhaus, John, and Charles McCulloch. "Generalized linear models." Wiley Interdisciplinary Reviews: Computational Statistics 3, no. 5 (June 8, 2011): 407–13. http://dx.doi.org/10.1002/wics.175.

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13

Prudente, Andrea A., and Gauss M. Cordeiro. "Generalized Weibull Linear Models." Communications in Statistics - Theory and Methods 39, no. 20 (October 14, 2010): 3739–55. http://dx.doi.org/10.1080/03610920903350580.

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14

Dey, Dipak K., Alan E. Gelfand, and Fengchun Peng. "Overdispersed generalized linear models." Journal of Statistical Planning and Inference 64, no. 1 (October 1997): 93–107. http://dx.doi.org/10.1016/s0378-3758(96)00207-8.

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15

Chen, Hanfeng. "Applying Generalized Linear Models." Technometrics 40, no. 2 (May 1998): 156–57. http://dx.doi.org/10.1080/00401706.1998.10485202.

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16

Moulton, Lawrence H., and Scott L. Zeger. "Bootstrapping generalized linear models." Computational Statistics & Data Analysis 11, no. 1 (January 1991): 53–63. http://dx.doi.org/10.1016/0167-9473(91)90052-4.

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17

Cordeiro, Gauss M., and Marinho G. de Andrade. "Transformed generalized linear models." Journal of Statistical Planning and Inference 139, no. 9 (September 2009): 2970–87. http://dx.doi.org/10.1016/j.jspi.2009.02.002.

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18

Zhang, Zhongxin, and Holford Theodore. "Generalized conditionally linear models." Journal of Statistical Computation and Simulation 62, no. 1-2 (December 1998): 105–21. http://dx.doi.org/10.1080/00949659808811927.

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19

Lewis, Sharon. "Applying Generalized Linear Models." Journal of Quality Technology 31, no. 3 (July 1999): 353–54. http://dx.doi.org/10.1080/00224065.1999.11979935.

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20

Müller, Hans-Georg, and Ulrich Stadtmüller. "Generalized functional linear models." Annals of Statistics 33, no. 2 (April 2005): 774–805. http://dx.doi.org/10.1214/009053604000001156.

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21

Barr, Joseph R., and Shelemyahu Zacks. "GLiM: Generalized linear models." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (March 2017): 1630016. http://dx.doi.org/10.1142/s2425038416300160.

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Much was written on generalized linear models. The reader is referred to the following books: P. McCullagh and J. A. Nelder, Generalized Linear Models, 2nd edn. (Chapman & Hall, 1989); A. J. Dobson and A. Barnett, An Introduction to Generalized Linear Models, 3 (Chapman & Hall, 2008); C. E. McCulloch and S. R. Searle, Generalized Linear and Mixed Models (2008); R. H. Myers and D. C. Montgomery, Generalized Linear Models: With Applications in Engineering and the Sciences (2010); A. Agresti, Foundations of Linear Generalized Linear Models, Wiley series in probability and statistics (Wiley, New York, 2015); J. J. Faraway, Linear Models with R, 2nd edn. (Chapman & Hall, 2014). We present here the main ideas.
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22

Lee, Y., and J. A. Nelder. "Hierarchical Generalized Linear Models." Journal of the Royal Statistical Society: Series B (Methodological) 58, no. 4 (November 1996): 619–56. http://dx.doi.org/10.1111/j.2517-6161.1996.tb02105.x.

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23

Nguyen, Hanh, and Qin Shao. "Generalized Linear Distributed Lag Models." Journal of Data Science 17, no. 4 (February 24, 2021): 660–73. http://dx.doi.org/10.6339/jds.201910_17(4).0002.

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24

Therneau, Terry M., P. McCullagh, and J. A. Nelder. "Generalized Linear Models (2nd ed.)." Journal of the American Statistical Association 88, no. 422 (June 1993): 698. http://dx.doi.org/10.2307/2290358.

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25

Mackinnon, Murray J., and Martin L. Puterman. "Collinearity in generalized linear models." Communications in Statistics - Theory and Methods 18, no. 9 (January 1989): 3463–72. http://dx.doi.org/10.1080/03610928908830102.

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26

Von Tress, Mark. "Generalized, Linear, and Mixed Models." Technometrics 45, no. 1 (February 2003): 99. http://dx.doi.org/10.1198/tech.2003.s13.

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27

Cowles, Mary Kathryn. "Generalized, Linear, and Mixed Models." Journal of the American Statistical Association 101, no. 476 (December 1, 2006): 1724. http://dx.doi.org/10.1198/jasa.2006.s145.

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28

Pierce, Donald A., and Daniel W. Schafer. "Residuals in Generalized Linear Models." Journal of the American Statistical Association 81, no. 396 (December 1986): 977–86. http://dx.doi.org/10.1080/01621459.1986.10478361.

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29

Bonat, Wagner Hugo, and Bent Jørgensen. "Multivariate covariance generalized linear models." Journal of the Royal Statistical Society: Series C (Applied Statistics) 65, no. 5 (March 1, 2016): 649–75. http://dx.doi.org/10.1111/rssc.12145.

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30

Percy, David F. "Prediction for generalized linear models." Journal of Applied Statistics 20, no. 2 (January 1993): 285–91. http://dx.doi.org/10.1080/02664769300000023.

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31

Mitchell, Lada. "Generalized, Linear, and Mixed Models." Journal of the Royal Statistical Society: Series D (The Statistician) 52, no. 2 (July 2003): 242–43. http://dx.doi.org/10.1111/1467-9884.00356.

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32

Kolassa, John E. "distributions in generalized linear models." Annals of Statistics 27, no. 1 (March 1999): 129–42. http://dx.doi.org/10.1214/aos/1018031104.

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33

Schuenemeyer, John H. "Generalized Linear Models (2nd ed.)." Technometrics 34, no. 2 (May 1992): 223–24. http://dx.doi.org/10.1080/00401706.1992.10484911.

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34

Rothe, Günter. "Bootstrap for generalized linear models." Statistical Papers 30, no. 1 (December 1989): 17–26. http://dx.doi.org/10.1007/bf02924305.

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35

Senturk, D., and H. G. Muller. "Covariate-adjusted generalized linear models." Biometrika 96, no. 2 (April 21, 2009): 357–70. http://dx.doi.org/10.1093/biomet/asp012.

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36

Jadhav, S., H. L. Koul, and Q. Lu. "Dependent generalized functional linear models." Biometrika 104, no. 4 (September 2, 2017): 987–94. http://dx.doi.org/10.1093/biomet/asx044.

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37

Johnson, Paulette. "Generalized Linear Models, 2nd Ed." Journal of Quality Technology 23, no. 3 (July 1991): 263–64. http://dx.doi.org/10.1080/00224065.1991.11979333.

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38

Cheek, P. J., P. McCullagh, and J. A. Nelder. "Generalized Linear Models, 2nd Edn." Applied Statistics 39, no. 3 (1990): 385. http://dx.doi.org/10.2307/2347392.

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39

Lefkovitch, L. P. "Seemingly Unrelated Generalized Linear Models." Biometrical Journal 33, no. 8 (1991): 899–912. http://dx.doi.org/10.1002/bimj.4710330802.

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40

Shao, Jun. "Jackknifing in generalized linear models." Annals of the Institute of Statistical Mathematics 44, no. 4 (December 1992): 673–86. http://dx.doi.org/10.1007/bf00053397.

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41

Zhang, Xinyu, Dalei Yu, Guohua Zou, and Hua Liang. "Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models." Journal of the American Statistical Association 111, no. 516 (October 1, 2016): 1775–90. http://dx.doi.org/10.1080/01621459.2015.1115762.

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42

Brant, Rollin. "Residual components in generalized linear models." Canadian Journal of Statistics 15, no. 2 (June 1987): 115–26. http://dx.doi.org/10.2307/3315200.

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43

Haberman, Steven, and Arthur E. Renshaw. "Generalized Linear Models and Actuarial Science." Statistician 45, no. 4 (1996): 407. http://dx.doi.org/10.2307/2988543.

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44

Nelder, J. A., and R. J. Verrall. "Credibility Theory and Generalized Linear Models." ASTIN Bulletin 27, no. 1 (May 1997): 71–82. http://dx.doi.org/10.2143/ast.27.1.563206.

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AbstractThis paper shows how credibility theory can be encompassed within the theory of Hierarchical Generalized Linear Models. It is shown that credibility estimates are obtained by including random effects in the model. The framework of Hierarchical Generalized Linear Models allows a more extensive range of models to be used than straightforward credibility theory. The model fitting and testing procedures can be carried out using a standard statistical package. Thus, the paper contributes a further range of models which may be useful in a wide range of actuarial applications, including premium rating and claims reserving.
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45

Chang, Potter C., and Annette J. Dobson. "An Introduction to Generalized Linear Models." Journal of the American Statistical Association 86, no. 416 (December 1991): 1149. http://dx.doi.org/10.2307/2290548.

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46

Campbell, M. J., and A. J. Dobson. "An Introduction to Generalized Linear Models." Biometrics 47, no. 1 (March 1991): 347. http://dx.doi.org/10.2307/2532526.

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47

van Eeuwijk, Fred A. "Multiplicative Interaction in Generalized Linear Models." Biometrics 51, no. 3 (September 1995): 1017. http://dx.doi.org/10.2307/2533001.

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48

Mukhopadhyay, Siuli, and André I. Khuri. "Bias in Multivariate Generalized Linear Models." Calcutta Statistical Association Bulletin 59, no. 1-2 (March 2007): 87–106. http://dx.doi.org/10.1177/0008068320070106.

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49

Skrondal, Anders, and Sophia Rabe-Hesketh. "Prediction in multilevel generalized linear models." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (June 2009): 659–87. http://dx.doi.org/10.1111/j.1467-985x.2009.00587.x.

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50

Borja, Mario Cortina. "An Introduction to Generalized Linear Models." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (June 2009): 695–96. http://dx.doi.org/10.1111/j.1467-985x.2009.00595_4.x.

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