isadore nabi

REFERENCIAS
Banerjee, A. (29 de Octubre de 2019). Intuition behind model fitting: Overfitting v/s Underfitting. Obtenido de Towards Data Science: https://towardsdatascience.com/intuition-behind-model-fitting-overfitting-v-s-underfitting-d308c21655c7
Bhuptani, R. (13 de Julio de 2020). Quora. Obtenido de What is the difference between linear regression and least squares?: https://www.quora.com/What-is-the-difference-between-linear-regression-and-least-squares
Cross Validated. (23 de Marzo de 2018). Will log transformation always mitigate heteroskedasticity? Obtenido de StackExchange: https://stats.stackexchange.com/questions/336315/will-log-transformation-always-mitigate-heteroskedasticity
Greene, W. (2012). Econometric Analysis (Séptima ed.). Harlow, Essex, England: Pearson Education Limited.
Guanga, A. (11 de Octubre de 2018). Machine Learning: Bias VS. Variance. Obtenido de Becoming Human: Artificial Intelligence Magazine: https://becominghuman.ai/machine-learning-bias-vs-variance-641f924e6c57
Gujarati, D., & Porter, D. (8 de Julio de 2010). Econometría (Quinta ed.). México, D.F.: McGrawHill Educación. Obtenido de Homocedasticidad.
McCullagh, P., & Nelder, J. A. (1989). Generalized Linear Models (Segunda ed.). London: Chapman and Hall.
MIT Computer Science & Artificial Intelligence Lab. (6 de Mayo de 2021). Solving over- and under-determined sets of equations. Obtenido de Articles: http://people.csail.mit.edu/bkph/articles/Pseudo_Inverse.pdf
Nabi, I. (27 de Agosto de 2021). MODELOS LINEALES GENERALIZADOS. Obtenido de El Blog de Isadore Nabi: https://marxianstatistics.files.wordpress.com/2021/08/modelos-lineales-generalizados-isadore-nabi.pdf
Penn State University, Eberly College of Science. (2018). 10.4 – Multicollinearity. Obtenido de Lesson 10: Regression Pitfalls: https://online.stat.psu.edu/stat462/node/177/
Penn State University, Eberly College of Science. (24 de Mayo de 2021). Introduction to Generalized Linear Models. Obtenido de Analysis of Discrete Data: https://online.stat.psu.edu/stat504/lesson/6/6.1
Perezgonzalez, J. D. (3 de Marzo de 2015). Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. frontiers in PSYCHOLOGY, VI(223), 1-11.
ResearchGate. (10 de Noviembre de 2014). How it can be possible to fit the four-parameter Fedlund model by only 3 PSD points? Obtenido de https://www.researchgate.net/post/How_it_can_be_possible_to_fit_the_four-parameter_Fedlund_model_by_only_3_PSD_points
ResearchGate. (28 de Septiembre de 2019). s there a rule for how many parameters I can fit to a model, depending on the number of data points I use for the fitting? Obtenido de https://www.researchgate.net/post/Is-there-a-rule-for-how-many-parameters-I-can-fit-to-a-model-depending-on-the-number-of-data-points-I-use-for-the-fitting
Salmerón Gómez, R., Blanco Izquierdo, V., & García García, C. (2016). Micronumerosidad aproximada y regresión lineal múltiple. Anales de ASEPUMA(24), 1-17. Obtenido de https://dialnet.unirioja.es/descarga/articulo/6004585.pdf
Simon Fraser University. (30 de Septiembre de 2011). THE CLASSICAL MODEL. Obtenido de http://www.sfu.ca/~dsignori/buec333/lecture%2010.pdf
StackExchange Cross Validated. (2 de Febrero de 2017). “Least Squares” and “Linear Regression”, are they synonyms? Obtenido de What is the difference between least squares and linear regression? Is it the same thing?: https://stats.stackexchange.com/questions/259525/least-squares-and-linear-regression-are-they-synonyms
Wikipedia. (18 de Marzo de 2021). Overdetermined system. Obtenido de Partial Differential Equations: https://en.wikipedia.org/wiki/Overdetermined_system
Zhao, J. (9 de Noviembre de 2017). More features than data points in linear regression? Obtenido de Medium: https://medium.com/@jennifer.zzz/more-features-than-data-points-in-linear-regression-5bcabba6883e