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Jimenez Luna | Statistics/Data Science student

Statistician currently studying an MSc in Statistics and Operations Research. This is my blog, where I usually post solutions to some Kaggle competitions or just stuff that I find interesting. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. ARIMA models are not perfect. Partial Least Squares [R]. Random acts of Pizza. Messing with the IGN ratings dataset. Theme Powered by Wordpress.

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Jimenez Luna | Statistics/Data Science student | jimenezluna.com Reviews

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Statistician currently studying an MSc in Statistics and Operations Research. This is my blog, where I usually post solutions to some Kaggle competitions or just stuff that I find interesting. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. ARIMA models are not perfect. Partial Least Squares [R]. Random acts of Pizza. Messing with the IGN ratings dataset. Theme Powered by Wordpress.

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Jimenez Luna | Statistics/Data Science student | jimenezluna.com Reviews

https://jimenezluna.com

Statistician currently studying an MSc in Statistics and Operations Research. This is my blog, where I usually post solutions to some Kaggle competitions or just stuff that I find interesting. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. ARIMA models are not perfect. Partial Least Squares [R]. Random acts of Pizza. Messing with the IGN ratings dataset. Theme Powered by Wordpress.

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jimenezluna.com

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January | 2014 | Jimenez Luna

http://www.jimenezluna.com/2014/01

Monthly Archives: January 2014. Bondad de Ajuste en R usando MLE y K-S. Cuántas veces nos hemos encontrado delante de unos datos y nos hubiera gustado saber si siguen algún tipo de distribución concreta? Generalmente se recurre a técnicas de bondad de ajuste en paquetes ya existentes en R, pero lleva mucho tiempo comprobar *una por una*, con estimación de los posibles parámetros por medio. Escribiremos una función que haga todo esto directamente:. Aplicamos la función sobre los datos. Vemos que la estima...

2

Partial Least Squares [R] | Jimenez Luna

http://www.jimenezluna.com/partial-least-squares-r

Partial Least Squares [R]. So there is little explanation needed. There are probably implementations around there, but I got bored and decided to do mine as well. May contain errors. ARIMA models are not perfect. →. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. ARIMA models are not perfect. Partial Least Squares [R]. Random acts of Pizza. Messing with the IGN ratings dataset. Theme Powered by Wordpress.

3

Benjamini–Hochberg procedure | Jimenez Luna

http://www.jimenezluna.com/benjamini-hochberg-procedure

Is a method to change the significance value when doing multiple hypothesis testing. The explanation to this is that if you’re doing a lot of hypothesis tests on a single dataset, you’re bound to find something. If the type I error is ( alpha ) in one test, in (k ) different tests, the probability of rejecting at least 1 null hypothesis when it’s true becomes (1-(1- alpha) k ). Random acts of Pizza. Partial Least Squares [R] →. Leave a Reply Cancel reply. Your email address will not be published.

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ARIMA models are not perfect. | Jimenez Luna

http://www.jimenezluna.com/arima-models-are-not-perfect

ARIMA models are not perfect. ARIMA models are usually a great and straightforward way to forecast a time series with certain assumptions. However, when these fail, ARIMA models are not able to respond properly. Let me illustrate this with a hands-on example with R. We will use the tseries and forecast packages. Require(forecast) require(tseries) data(ice.river) series = flow.vat plot(series). Ari = auto.arima(flow.vat) plot(forecast(ari),h=365). Time to check neural nets! Partial Least Squares [R].

5

General Statistics | Jimenez Luna

http://www.jimenezluna.com/category/stat

Category Archives: General Statistics. The Benjamini-Hochberg procedure is a method to change the significance value when doing multiple hypothesis testing. The explanation to this is that if you’re doing a lot of hypothesis tests on a single dataset, you’re bound to find something. If the type I error is in one test, in different tests, the probability of rejecting […]. Estimación no paramétrica de la función de supervivencia. Bondad de Ajuste en R usando MLE y K-S. No siempre se tienen expresiones expl...

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Skip to main content. Usuario o e-mail *. Solicitar una nueva contraseña. Me gusta mucho amiga se te da. Me encanta el prsonaje te. Mi 2do hobby es Dibujar despues de los Videojuegos, poco a poco me vuelvo mejor dibujante, uno de mis grandes suenos es ser un gran artista, como Marcello Barenghi. Dibujos Sprites o Retro. Miembro de Dibujando desde hace 11 meses 1 semana. Último acceso hace 7 meses 1 semana. Enviar un nuevo comentario:. Hace 9 meses 2 semanas. Hace 11 meses 6 días.

jimenezluna.com

Jimenez Luna | Statistics/Data Science student

Statistician currently studying an MSc in Statistics and Operations Research. This is my blog, where I usually post solutions to some Kaggle competitions or just stuff that I find interesting. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. ARIMA models are not perfect. Partial Least Squares [R]. Random acts of Pizza. Messing with the IGN ratings dataset. Theme Powered by Wordpress.

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