Sökning: "Box-Cox"
Visar resultat 1 - 5 av 7 uppsatser innehållade ordet Box-Cox.
1. Lorenz Curve for Profitable Insurance Portfolio Management
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : Since its introduction by Max Otto Lorenz, the Lorenz curve has been utilizedin several financial contexts. By using regression analysis to approximate theclaim cost of policyholders, a vector consisting of policyholder characteristics canbe obtained. LÄS MER
2. Modeling Patterns of Transactions after Companies Implementation of Getswish AB’s Payment Service
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This thesis is a case study in collaboration with the company Getswish AB. GetswishAB provides the mobile application and payment service Swish with the purpose ofdelivering smooth money transfers for individuals and companies in Sweden. LÄS MER
3. Principal Component Modelling of Fuel Consumption ofSeagoing Vessels and Optimising Fuel Consumption as a Mixed-Integer Problem
Master-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikationSammanfattning : The fuel consumption of a seagoing vessel is, through a combination of Box-Cox transforms and principal component analysis, reduced to a univariatefunction of the primary principle component with mean model error −3.2%and error standard deviation 10.3%. LÄS MER
4. Modelling demand for high speed rail in Sweden. : Business trips
Master-uppsats, KTH/TransportvetenskapSammanfattning : Recently conducted revealed preference and stated choice surveys in Sweden have extended data availability for travel demand modelling. Refined models with destination and mode choice are herein developed mainly for the long-distance business-trip market in Sweden. LÄS MER
5. Travel demand forecasting with stated choice data. : Swedish domestic long-distance trips.
Master-uppsats, KTH/TransportvetenskapSammanfattning : The travel demand forecasting capability is affected by the model performance and is restricted by the available modes. The Sampers models being used in long distance travel demand forecasting doesn’t deal with nonlinearity and contains no travel service qualitative variables. LÄS MER