Essays about: "Multiple Linear Regression MLR"

Showing result 1 - 5 of 11 essays containing the words Multiple Linear Regression MLR.

1. 1. Modeling Melodic Accents in Jazz Solos

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Misael Berrios Salas; [2023]
   Keywords : Accents; Jazz Solo; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamic; Accenter; Jazz Solos; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamisk;

   Abstract : This thesis looks at how accurately one can model accents in jazz solos, more specifically the sound level. Further understanding the structure of jazz solos can give a way of pedagogically presenting differences within music styles and even between performers. Some studies have tried to model perceived accents in different music styles. READ MORE

3. 2. Evaluation of Machine Learning Methods for Time Series Forecasting on E-commerce Data

   University essay from KTH/Matematisk statistik

   Author : Peter Abrahamsson; Niklas Ahlqvist; [2022]
   Keywords : Thesis; Time Series; Machine Learning; E-commerce; Demand Forecasting; Multiple Linear Regression; SARIMAX; XGBoost; LSTM; Model Evaluation; Examensarbete; tidsserier; maskininlärning; e-handel; efterfrågeprognoser; multipel linjär regression; SARIMAX; XGBoost; LSTM; modellutvärdering;

   Abstract : Within demand forecasting, and specifically within the field of e-commerce, the provided data often contains erratic behaviours which are difficult to explain. This induces contradictions to the common assumptions within classical approaches for time series analysis. Yet, classical and naive approaches are still commonly used. READ MORE

4. 3. An analysis of the relationships between urban green space and public health : A combination of GIS-based analysis and regression models

   University essay from Linköpings universitet/Institutionen för tema

   Author : Lingzi Liu; [2022]
   Keywords : GIS; Multiple linear regression; Public health; Urban green space; Urban planning;

   Abstract : Public health is an essential urban issue attracting the increasing attention of scholars and decision-makers while urban planning is an important mechanism to promote health since mounting evidence has shown the planning elements, such as urban green spaces (UGS), could have a positive influence. In previous literature, the studies concerning the impacts of UGSs can be divided into two aspects: the first is to reveal the relationships between UGSs and health using statistical models based on self-reported data, while the second is to take their relationships as presumption and visualize the spatial distributions of UGSs in a geographical information system (GIS) to indicate the existence of health inequalities. READ MORE

5. 4. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Roxana Buzatoiu; [2020]
   Keywords : Time Series Analysis; Recurrent Neural Networks; long-term Forecasting; Exploratory Data Analysis; Multiple Linear Regression; ACF; PACF; Energy Sector; Tidsserieanalys; återkommande neurala nätverk; långtidsprognoser; undersökande dataanalys; multipel linjär regression; ACF; PACF; energisektor;

   Abstract : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. READ MORE

6. 5. Bid Forecasting in Public Procurement

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Karim Stiti; Shih Jung Yape; [2019]
   Keywords : Bidding in public procurement; Count data regression; Economically most advantageous tenders; Lowest price tenders; Machine learning; Multiple linear regression; Nonparametric bootstrap; Position performance coefficient; Sealed-bid auctions; Stochastic dominance; Support vector regression.; Budgivningsmodeller I offentliga upphandlingar; Ekonomiskt mest fördelaktiga anbud; Förseglade auktioner; Lägsta-pris anbud; Maskininlärning; Multipel linjär regression.;

   Abstract : Public procurement amounts to a significant part of Sweden's GDP. Nevertheless, it is an overlooked sector characterized by low digitization and inefficient competition where bids are not submitted based on proper mathematical tools. READ MORE