Search for dissertations about: "Forensic research"
Showing result 1 - 5 of 76 swedish dissertations containing the words Forensic research.
-
1. The Costs of Legal Certainty : A Forensically-Informed Methodology on How to Identify the Relevant Costs in Exclusionary Abuse Cases
Abstract : This dissertation examines the forensic relationship between unilateral price practices and prima facie exclusionary abuse(s) under Article 102 TFEU. The research aim is to ascertain relevant cost benchmarks that can be used to determine the legal qualification of a dominant firm’s price practices. READ MORE
-
2. Testosterone Use and Abuse : Methodological Aspects in Forensic Toxicology and Clinical Diagnostics
Abstract : Abuse of anabolic androgenic steroids (AAS) is widespread in society and is today a major public health problem, associated with mental and somatic adverse effects and risk behavior, such as use of other illicit drugs and criminality. Testosterone, the most important endogenous male androgen, is therapeutically used in replacement therapy but is also extensively used as a doping agent. READ MORE
-
3. Homicide Injury Quantification : Measures of injury severity in homicide victims and associations with homicide characteristics
Abstract : Some previous studies have found that the amount and severity of injuries in homicide victims correlate with different homicide characteristics, such as the victim-offender relationship and drug influence of the offender. If such relationships exist, they may be used by homicide investigators as part of an offender profiling. READ MORE
-
4. Exact inference in Bayesian networks and applications in forensic statistics
Abstract : Bayesian networks (BNs) are commonly used when describing and analyzing relationships between interacting variables. Approximate methods for performing calculations on BNs are widely used and well developed. READ MORE
-
5. Bayesian networks: exact inference and applications in forensic statistics
Abstract : Exact inference on Bayesian networks has been developed through sophisticated algorithms. One of which, the variable elimination algorithm, identifies smaller components of the network, called factors, on which local operations are performed. In principle this algorithm can be used on any Bayesian network. READ MORE