Browsing by Author "Almøy, Trygve"
Now showing items 1-12 of 12
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Application of Bayesian calibration for propagation of uncertainty in dynamic models
Roer, Anne-Grete (PhD Thesis;2010:8, Doctoral thesis, 2010)The thesis is about quantification of uncertainties in complex models. Models are built to describe, explain or predict a real world outcome. It is well known that models are related with uncertainty, and that uncertainties ... -
A systematic search for discriminating sites in the 16S ribosomal RNA gene
Vinje, Hilde; Almøy, Trygve; Liland, Kristian Hovde; Snipen, Lars (Journal article; Peer reviewed, 2014) -
A tool for simulating multi-response linear model data
Rimal, Raju; Almøy, Trygve; Sæbø, Solve (Journal article; Peer reviewed, 2018)Data science is generating enormous amounts of data, and new and advanced analytical methods are constantly being developed to cope with the challenge of extracting information from such “big-data”. Researchers often use ... -
Better understanding of the relation of the dynamic sensory perception of solid and semi solid foods with consumers’ preferences and their perception of satiety
Nguyen, Quoc Cuong (PhD Thesis;2019:5, Doctoral thesis, 2019)Nowadays, overweight and obesity has been recognized as one of the main reasons that leads to many non-communicable diseases such as diabetes, high blood pressure, cardiovascular disease and in some cases cancer. Therefore, ... -
Comparing K-mer based methods for improved classification of 16S sequences
Vinje, Hilde; Liland, Kristian Hovde; Almøy, Trygve; Snipen, Lars-Gustav (Journal article; Peer reviewed, 2015) -
Comparison of multi-response prediction methods
Rimal, Raju; Almøy, Trygve; Sæbø, Solve (Journal article; Peer reviewed, 2019)While data science is battling to extract information from the enormous explosion of data, many estimators and algorithms are being developed for better prediction. Researchers and data scientists often introduce new methods ... -
Does academia disfavor contextual and extraverted students
Sæbø, Solve; Almøy, Trygve; Brovold, Helge (Journal article; Peer reviewed, 2015)In a study conducted at Norwegian University of Life Sciences (NMBU) 288 students volunteered to answer an electronic questionnaire constructed to classify their personality type (16 categories), their work habits and ... -
Estimation of noise variance with dimension-reducing regression methods
Skodvin, Siri Nærland (Master thesis, 2018)The focus of this thesis has been on investigating the performance of some estimators of the noise variance using the dimension-reducing methods PCR, PLSR and a recently developed Bayesian method, Bayes PLS, through a ... -
Excessive use of nitrogen in Chinese agriculture results in high N2O/(N2O+N2) product ratio of denitrification, primarily due to acidification of the soils
Qu, Zhi; Wang, Jingguo; Almøy, Trygve; Bakken, Lars (Journal article; Peer reviewed, 2014) -
Investigating individual preferences in rating and ranking conjoint experiments. A case study on semi-hard cheese
Almli, Valerie Lengard; Øvrum, Arnstein; Hersleth, Margrethe; Almøy, Trygve; Næs, Tormod (Journal article; Peer reviewed, 2015)Stated preference conjoint experiments and self-explicated measures based on rating and ranking approaches were conducted to investigate Norwegian consumers’ choices among healthier and organically produced semi-hard ... -
Linear multiresponse models : theoretical developments and applications in porcine
Gangsei, Lars Erik (PhD Thesis;2016:34, Doctoral thesis, 2018-05-03)The main topic of this PhD–thesis is how to minimize the prediction error for multi–response linear regression models. Two different applications are analysed, (i) bivariate response with missing data and (ii) image analysis ... -
Multi-block methods for investigating consumer acceptance of food
Menichelli, Elena (PhD Thesis;2013:67, Doctoral thesis, 2013)Today's researchers easily gather large amounts of data of different origin and type. In sensory and consumer studies the objective is the collection of data to better understand consumer behavior in the market. Statistical ...