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2020
Mark Exploring the data behind students’ published theses - Analyzing the pride of Lund University
Granberg, Per ^LU (2020) STAH11 20192
Department of Statistics
- Bach. Degree
Mark ATT PROGNOSTISERA DET FINANSIELLA RESULTATET I SVENSKA KOMMUNER EN JÄMFÖRELSE MELLAN ETT ELASTISKT NÄT OCH EN BASELINE
Nilsson, Sofia ^LU (2020) STAH11 20192
Department of Statistics
- Bach. Degree
Mark Att prediktera BNP
Wenzel, Camilla ^LU and Grahn, David ^LU (2020) STAH11 20192
Department of Statistics
- Bach. Degree
Mark On Valuation of Observations in Linear Regression Models
Jönsson, Mattias ^LU (2020) STAH11 20192
Department of Statistics
- Bach. Degree
2019
Mark Prediktioner av allsvenska fotbollsmatcher - Modellering och testande av strategier för satsning av kapital på spelbolagsmarknaden
Christiansen, André ^LU (2019) STAH11 20182
Department of Statistics
- Bach. Degree
Mark Proportionalitet i svenska Riksdagsval: En analys av den reformerade vallagen med Dirichlet-fördelade simuleringar
Kyander, Alexis ^LU (2019) STAH11 20182
Department of Statistics
- Bach. Degree
2018
Mark Hur gror en bostad?
Nilsson, Karl Philip ^LU and Lindberg, Kristian ^LU (2018) STAH11 20172
Department of Statistics
- Bach. Degree
Mark The effect of behavioural changes over time on Cox proportional hazards estimates
Hedberg, Jonatan ^LU (2018) STAN40 20172
Department of Statistics
- Master (One yr)
Mark An Econometrical Study about fractional Response Variables with an Application to Swedish NEET and Municipal Labour Market Activities
Pello-Esso, Wazah ^LU (2018) STAH11 20172
Department of Statistics
- Bach. Degree
Mark Att klassificera med Support Vector Machines - En introduktion från teori till analys
Milton, Alexandra ^LU and Svensson, Marcus ^LU (2018) STAH11 20162
Department of Statistics
- Bach. Degree

your query:: Remove supervisor: Holmquist, Björn