En analys av statens samhällssatsningar och dess effektivitet för att reducera brottslighet
Through an analysis of the Swedish state budget, models have been developed to deepen the understanding of the effects that government expenditures have on reducing crime. This has been modeled by examining selected crime categories using the mathematical methods Ridge Regression, Lasso Regression a...
Main Authors: | Jansson, Daniel, Niklasson, Nils |
---|---|
Format: | Others |
Language: | Swedish |
Published: |
KTH, Matematisk statistik
2020
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275665 |
Similar Items
-
On ridge regression and least absolute shrinkage and selection operator
by: AlNasser, Hassan
Published: (2017) -
The Usage of Lasso, Ridge, and Linear Regression to Explore the Most Influential Metabolic Variables that Affect Fasting Blood Sugar in Type 2 Diabetes Patients
by: Farbahari Arash, et al.
Published: (2019-12-01) -
Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection
by: Abdullah S. Al-Jawarneh, et al.
Published: (2021-04-01) -
A comparison of statistical methods for genomic selection in a mice population
by: Neves Haroldo HR, et al.
Published: (2012-11-01) -
INFERENCE AFTER VARIABLE SELECTION
by: Pelawa Watagoda, Lasanthi Chathurika Ranasinghe
Published: (2017)