Scientific Research Publishing

Hastie, T., Tibshirani, R. and Friedman, J. (2009) The Elements of Statistical Learning Data Mining, Inference, and Prediction. 2nd Edition, Springer.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
The Tufts Daily

R.F. Kuang’s ‘Katabasis’ exposes the hell of higher learning

R.F. Kuang has never shied away from ambitious storytelling. From the imperial critique of “Babel” to the literary satire of “Yellowface,” her novels combine social insight with an inventive narrative ...
Scientific Research Publishing

Hastie, T., Tibshirani, R. and Friedman, J. (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.

ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).
Scientific Research Publishing

Hastie, T., Tibshirani, R. and Friedman, J. (2011) Apprentissage statistique: Avec applications en R. Springer, 85.

ABSTRACT: This study proposes a segmented approach to analyzing diabetes risk factors using the dataset diabete_custom.xlsx (150 individuals, 14 medical and behavioral variables). The combination of ...
Scientific Research Publishing

James, G., Witten, D., Hastie, T. and Tibshirani, R. (2023) An Introduction to Statistical Learning.

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...
Scientific Research Publishing

Hastie, A.T., Tibshirani, R. and Friedman, J. (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition, Springer Nature.

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...
Scientific Research Publishing

Hastie, T., Tibshirani, R., & Friedman, J. (2009). Elements of Statistical Learning. Springer.

ABSTRACT: Lepto-regression is defined as the machine learning process of constructing a Regression Tree of a target feature on itself. It is a novel, model-free method potentially revealing ...
Scientific Research Publishing

James, G., Witten, D., Hastie, T. and Tibshirani, R. (2013) An Introduction to Statistical Learning. Springer.

ABSTRACT: Riverbank instability poses a mounting global threat, especially across East Africa’s transboundary river systems, where geospatial assessments remain scarce. This study applies advanced ...
Scientific Research Publishing

James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). Linear Regression. In G. James, D. Witten, T. Hastie, R. Tibshirani, & J. Taylor (Eds.), An Introduction ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...