Background: During the year 2002 approximately 27 000 people lost their jobs because of companies filing for bancruptcy. In 2002 the number of companies filing for bancruptcy in Sweden were 6740. This is approximately twice as many as in the year of 1974 when the first major study concerning bancruptcies in Sweden was carried out. The accumulated amount of unpaid bancruptcy claims for the period 1991 ? 1997 was 51 billion SEK.

The aim of this study was to evaluate different types of volume and taper equations that can be used to predict single-tree stem volume and stem diameter at any given height along the tree stem for plantation grown Sitka spruce (Picea sitchensis (Bong.) Carr.), Norway spruce (Picea abies (L.) Karst) and White spruce (Picea glauca (Mounch) Voss) in Iceland. A number of published tree volume equations were tested and modified to predict the total stem volumes over bark but three logarithmic equations were taken for more in-depth analysis. Three taper equations were tested. Two variable-exponent equations (Kozak 1997, Kozak 2004) and one exponential equation described by Biging (1984). Data from a total of 617 sample trees were used in this study, collected from stands in various parts of the country and present different types of stands growing in different soil types and cover most of the site conditions suitable for forestry in Iceland.

A study was performed to evaluate whether established methods of analysis of protein content in barley (Kjeldahl, Dumas, or NIT (short for Near Infrared Transmittance)) gives different results for wet and dried barley. This was carried out because there are concerns regarding the well-worn NIT Prediction model giving different results for these conditions and that such an error causes significant price fluctuations on the market. By performing analyses of samples, both before and after drying, of the three different barley varieties Tipple, Prestige, and Quench, with all the techniques, data was obtained that could be analyzed statistically. The study showed that the NIT Prediction model gives results for wet barley that is about 0.29 percentage points higher compared to dried barley. This difference was also statistically significant when a t-test was performed.

Fusarium head blight is a large problem world wide which reduces the yields and the quality of small grains. Shrunken kernels with decreased thousand kernel weight as an effect and pro-duction of mycotoxins are some of the problems caused by infection of Fusarium spp. To avoid toxin contaminated bulks to enter the food and feed chain it is important to have tools for Prediction and analysis of the fungi and toxins. Good Prediction methods are also impor-tant in the breeding industry since early identification in trials of lines with high resistance or susceptibility simplify the work. To compare different techniques for these objectives this project was initiated.

This Master of Science Thesis was a complement project to the PIEp study MENTOL, carried out at a Swedish midsize medical device company.. PIEp nationally works for a long-term increase of the innovation capability of people and organizations. The purpose of this study was to find measuring parameters of innovation that fit medium-sized technological companies and organizations, Another purpose was to evaluate an innovation investment at the company, consisting of external consultant?s education of key personnel in innovation, and a two day innovation seminar with all personnel at the company participating. The methods used during this Master of Science Thesis were: feasibility and literature studies about innovation and innovation measurements, quantitative and qualitative interviews, surveys and workshops.For an accurate measure of innovation it is crucial to a have full understanding of what innovation is, and clarity of the purpose of the measurement itself.

Fusarium head blight is a large problem world wide which reduces the yields and the quality of small grains. Shrunken kernels with decreased thousand kernel weight as an effect and pro-duction of mycotoxins are some of the problems caused by infection of Fusarium spp. To avoid toxin contaminated bulks to enter the food and feed chain it is important to have tools for Prediction and analysis of the fungi and toxins. Good Prediction methods are also impor-tant in the breeding industry since early identification in trials of lines with high resistance or susceptibility simplify the work. To compare different techniques for these objectives this project was initiated.

The aim of the study was to investigate if the Grazemore Decision Support System (DSS) is able to provide a grazing management strategy that gives a high utilisation of grazed grass in milk production in the north of Scandinavia. To do this, a grazing experiment was planed and performed during the summer 2005. Simulations in the DSS were run to get a suggestion of how the cows should graze, grazing calendar 1. Deviations and updates during the season resulted in the simulated grazing calendar 2. During the experiment, the actual milk yield was recorded twice weekly. The difference between actual and predicted milk yield by Grazemore DSS was analysed statistically with regression analysis and the mean square Prediction error (MSPE) was estimated.

This thesis assignment at C-level is focused on calculation models and Prediction methodswhish can be used in the stage we call ?prospecting? of possible windmill locations. Thelocation is southeast of Halmstad at the Farm ?Stjernarpsgods?. The rapport has two mainareas directed towards this task.

Timber floating operations in Scandinavia during the 19th and 20th centuries has contributed to severe negative impacts on riverine ecosystems. Increase in water velocity and lack of stream bed heterogeneity as a result of stream channelization lead to increased bed load transport. Since availability and recruitment of new suitable spawning substrate in Scandinavian watercourses is sparse, spawning habitats for salmonids has become a scarce commodity. Lately, increasingly more attention has been given to the recreation and improvement of brown trout (Salmo trutta) spawning habitats in restoration projects. While much of the research on spawning habitat has been focused on evaluation of the influence that the constructed spawning grounds have on fish populations, few studies have been conducted to evaluate the persistence of these constructions over time. I evaluate erosion of constructed spawning beds as an effect of sediment transport attributable to water discharge.

The purpose of this study was to develop two types of Prediction models for Scots Pine and Norway Spruce. The first type for calculation of the stump diameter under bark the year the tree reached breast height (Dstubh130). The second type for calculation of the annual difference, e.g. the number of growth years between stump height (0.2 m) and breast height (1.3 meters above ground level). The primary thought with these Prediction models is to obtain the breast height age in the trees on basis of the number of annual rings at stump.

Approximately 4000-5000 hectares, of SCA´s forest land area in Västerbotten, are in need of pre-commercial thinning (PCT) every year. Within the management district, the areas annually treated with PCT must increase, in order to decrease the area with an urgent need for PCT. This can be done by employing more forest workers or entrepreneurs, by mechanized PCT or by an extended season for PCT. Positive experiences from a private forest owner, who started to carry out PCT when the first snow came and then continued for several months, gave an idea to investigate the possibilities to prolong the season of PCT. The purpose of this experiment was to compare PCT carried out when there was snow on the ground with PCT performed when there was no snow on the ground.

The aim is to develop a new decision-making model for credit-loans. The model will be specific for credit applicants of the OKQ8 bank, becauseit is based on data of earlier applicants of credit from the client (the bank). The final model is, in effect, functional enough to use informationabout a new applicant as input, and predict the outcome to either the good risk group or the bad risk group based on the applicant?s properties.The Prediction may then lay the foundation for the decision to grant or deny credit loan.Because of the skewed distribution in the response variable, different sampling techniques are evaluated. These include oversampling with SMOTE, random undersampling and pure oversampling in the form of scalar weighting of the minority class.

Sambandsanalys av surveydata kompliceras av förekomsten av slumpfel och metodeffekter i de avgivna svaren. Dessa felkällor kan leda till betydande över- eller underskattning av sambanden mellan undersökta variabler, och riskerar att leda till felaktiga slutsatser.En sedan länge känd metod för att estimera och kontrollera för slumpfel och metodeffekter i enkätdata är den så kallade Multitrait Multimethod-metoden (MTMM). Nackdelen med MTMM-metoden är att den kräver att varje fråga som ska analyseras ställs minst tre gånger i samma enkät, vilket gör att ansatsen i praktiken oftast inte är möjlig att tillämpa. Sedan 2012 finns dock ett verktyg, SQP 2.0, som gör det möjligt att skatta slumpfel och metodeffekter i enkätdata utan att genomföra MTMM-experiment. Den här uppsatsen utvärderar prediktionerna från SQP 2.0 på en enkät om arbetslivsrelaterade frågor besvarad av svenska och brittiska respondenter.

The purpose of this study was to examine by means of Eysenck Personality Inventory (EPI), the relationship between Neuroticism, and self-rated eating problems. Altogether 105 respondents, mean aged 42,3 years, including 11 men and 94 women, participated by answering an Internet-based questionnaire comprising three different sections. Neuroticism correlated with self-rated eating problems (r=,468, p.

This study compares the sample variance of the mean in a simple random sample (SRS) and a systematic sample from a surface. The study also compares the Prediction error variance in a SRS and systematic sample from a random field. Recommendations are presented on which method to use in the clearance and exemption process in the nuclear industry. The results indicate that quadratic systematic sampling outperformed SRS in most instances and proved to be especially efficient in the presence of a long-ranged covariance function and high sampling intensity (i.e. short distances between observations).