Search for dissertations about: "Linear regression analysis"

Showing result 1 - 5 of 279 swedish dissertations containing the words Linear regression analysis.

2. 1. Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets

   Author : Max Bylesjö; Johan Trygg; Tormod Naes; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Chemometrics; orthogonal projections to latent structures; OPLS; O2PLS; K-OPLS; kernel-based; non-linear; regression; classification; Populus; Chemistry; Kemi;

   Abstract : With the increasing availability of high-throughput systems for parallel monitoring of multiple variables, e.g. levels of large numbers of transcripts in functional genomics experiments, massive amounts of data are being collected even from single experiments. READ MORE

4. 2. Statistical analysis of gene expression data

   Author : Erik Kristiansson; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; gene expression; DNA microarrays; linear models; empirical Bayes; quality control; gene regulation; categorical data analysis; logistic regression; heavy metal stress; ecotoxicology; gene expression;

   Abstract : Microarray technology has become one of the most important tools for genome-wide mRNA measurements. The technique has been successfully applied to many areas in modern biology including cancer research, identification of drug targets, and categorization of genes involved in the cell cycle. READ MORE

5. 3. The Quest for Robust Model Selection Methods in Linear Regression

   Author : Prakash Borpatra Gohain; Magnus Jansson; K.V.S Hari; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Model selection; information criterion; linear regression; sparsity; high dimensional; Electrical Engineering; Elektro- och systemteknik; Mathematical Statistics; Matematisk statistik;

   Abstract : A fundamental requirement in data analysis is fitting the data to a model that can be used for the purpose of prediction and knowledge discovery. A typical and favored approach is using a linear model that explains the relationship between the response and the independent variables. READ MORE

6. 4. On performance analysis of subspace methods in system identification and sensor array processing

   Author : Magnus Jansson; Bo Wahlberg; Mats Molander; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; subspace methods; system identification; state-space models; linear regression; sensor array processing; performance analysis; EM algorithm; minimum redundancy array;

   Abstract : This thesis addresses the issue of performance analysis of subspace-based parameter estimation methods in two different applications, namely system identification and sensor array processing.  The objective is to study the quality of the estimated models as the amount of data increases, and to suggest improvements and give user guidelines. READ MORE

7. 5. Analysis of Retroreflection and other Properties of Road Signs

   Author : Roxan Saleh; Hasan Fleyeh; Darko Babić; Högskolan Dalarna; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Road traffic signs; retroreflective sheeting material; night-time visibility; supervised machine learning; principal component analysis; prediction; linear regression;

   Abstract : Road traffic signs provide regulatory, warning, guidance, and other important information to road users to prevent hazards and road accidents. Therefore, the traffic signs must be detectable, legible, and visible both in day and nighttime to fulfill their purpose. The nighttime visibility is critical to safe driving on the roads at night. READ MORE