Betting under ordered forms has been around for a long time, but the recent increase in Internet betting and the large sums of money that are now involved makes it even more important for betting companies to have correct odds. The purpose of the essay is to calculate probabilities for outcomes of football games using a statistical model and to see if you can find better odds than a betting company.The data contains the 380 games from the 2004/2005 season and the variables form, head-to-heads, league position, points, home/away, average attendance, promoted team, distance and final league position from previous season. After performing an ordered probit regression we only find the variable ?form of the away team? to be significant at the 5 % level. We suspect the presence of multicollinearity and perform a VIF-test which confirms this. To fix this problem we perform a second ordered probit regression where a number of variables are combined to index variables. In the second regression we once again find only one significant variable.

An important task for Region Skåne is to allocate resources to the health care districts. From 1999 to 2002 Region Skåne used needs-based resource allocation as a model for allocating resources. In a needs-based resource allocation individuals with the same socioeconomic and demographic characteristics are assumed to have the same level of need and are therefore allocated the same amount of resources. During the period of needs-based resource allocation a matrix model was used as a method. In the matrix model individuals were divided into cells after each combination of the socioeconomic and demographic variables.

This essay casts light on the quantitative aspect of the media representation of foreign news. The purpose of the essay is not only to describe the media representation of the countries of the world, but also to explain the representation out of structures that are mirrored by the mass media. Four hypotheses are stated that are operationalized in the research. These are treating four different factors that are believed to affect the representation, economy, geographical distance, cultural distance and the size of the population. A fifth hypothesis is stating that economy is the most influential of the factors.

I uppsatsen har jag undersökt om och hur mycket olika bakgrundsfaktorer hos patienter påverkar hur nöjda de är med vårdkvalitén. Uppsatsen begränsar sig till läkarbesök inom den offentliga Primärvården (Närhälsan) i VGR. Vi har använt oss av två olika metoder för att analysera data från Nationell Patientenkät från hösten 2011. Dessa är Binär logistisk regression och LASSO logistisk regression. Vi har valt logistisk regression därför att den beroende variabeln inte har intervallskala.

Objective: In recent years there has been an increasing interest within the clinical (medical) science in measuring people?s health. When estimating quality of life, present practise is to use the EQ-5D questionnaire and an index which weighs the different questions. The question is what happens if the individuals estimate there own health, would it differ from the public preferences? The aim is to make a new prediction model based on the opinion of patients and compare it to the present model based on public preferences.Method: A sample of 362 patients with unstable coronary artery disease from the Frisc II trial, valued their quality of life in the acute phase and after 3, 6 and 12 months.

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.

The purpose of the study is to investigate how board structure influences CEO compensation for companies listed on the Stockholm Stock Exchange in 2004. The theoretical frame of reference is based upon the corporate governance theory, the principal-agent theory and previous empirical research in the area. A cross sectional regression analysis is used, where a number of control variables are included and significance tests are conducted. The study is based on information regarding CEO compensation, and possible factors affecting the compensation, from 267 companies listed on the Stockholm Stock Exchange A- and O-list in the year 2004. We find that the board structure has no significant effect on the CEO compensation.

Konsekvenser av konkurser drabbar såväl företaget själv som andra intressenter. Exempel på sådana är investerare, kunder, leverantörer, långivare och staten. Att utveckla ett verktyg för att kunna analysera ett företags väg mot konkurs är därför ett bidrag till såväl företaget själv som samhället. I den här studien har vi utvecklat en modell som kan appliceras på småföretag inom kategorin aktiebolag i Sverige. Den kan användas för att prognostisera konkurs för 18 månader framåt i tiden.

In many biomedical contexts, e. g. when evaluating hearing disorders, the data obtained can be described as pairs (x1, y1), ?, (xn, yn) where x is a quantitative variable and y a 0/1 variable whose probability of taking the value 1 is a monotonic function of x. One way of analysing such data is to perform probit regression; thereby two parameters, b0 (= the constant) and b1 (= the slope) are estimated; the interest centres around m = -b0/b1, i.

The last decade has created an increasing pressure on companies to decrease their impact on the environment and to increase their effectiveness of recycling the company?s resources, especially for the steel industry. Companies have also started to realize the economic aspects of an effective internal reverse logistics. In the past the value of an effective internal reverse logistic was something that companies tend to underestimate and there are few academic studies done in this area. The purpose of this essay has been to identify key factors to create an effective in plant storage, transport, sorting and handling of returned steel. From these factors a generalized model for creating an effective return steel flow will be developed.

The association between social parameters (i.e. socio-economy and level of education) and voting behaviour has been reviewed and analysed based on data from municipal council elections in Stockholm and Gothenburg in 2002. Some social scientists argue that the class voting is in decline and that new social cleavages have emerged. However, by using regression analysis techniques, this study implies a strong dependence of voting behaviour on social parameters, such as socio-economic status (SES) and level of education. Socio-economy appears to be a dominant predictor in the analysis.

Making accurate predictions of private consumption expenditures is a difficult task. This thesis examines if consumer confidence can be used to forecast consumption. Using regression analysis, the link between consumer confidence and private consumption expenditures is analyzed for Sweden between the years 1994 and 2005. Two different models are estimated. In the first model consumption is regressed only on consumer confidence, while model two is extended to contain more variables.

Background: Operating on the stock market is associated with risks. If a particular asset is not traded with the same frequency as the average market asset, this particular asset is exposed to a liquidity risk. It means that the investor might not be able to sell the asset at a desired time without incurring expensive transaction costs. The query is whether or not the investor is compensated with a liquidity premium for bearing the extra risk. Earlier studies on the Stockholm Stock Exchange have failed to prove that there is a relation between stock return and liquidity.

Since the implementation of the revised IAS-1 in January 2009, the income statement has changed in order to include what is called dirty surplus accounting flows (DSF). Using data for the period 2005-2009 regarding large cap companies listed on the OMX Stockholm we identify DSF in Swedish accounting. First, we present some descriptive statistics on aggregated and individual DSF in Sweden. We find that aggregated DSF and individual items related to securities are significantly positive over time. Second, we perform a regression on returns to test for value relevance and find that aggregated DSF and individual items related to currency translation differences and cash flow hedges are value relevant in explaining returns.

Denna studie har till syfte att undersöka hur betalningsviljan har ändrats med tiden förolika prognostiska faktorer på bostadsrätter. Resultatet kan användas för att förutspå prisutvecklingen på bostadsrätter som exempelvis kan användas som underlag för att skapa ett rättvist premiepris på försäkringar för prisfall på bostadsmarknaden.Undersökningen gjordes på 118 718 antal sålda lägenheter mellan år 2005 och 2013 i Stockholms kommun. Ett antal relevanta attribut och dess prognostiska faktorer på bostadspriset undersöktes med multipel regression. En regression gjordes per år varefter de prognostiska faktorerna analyserades och jämfördes.Resultatet av studien visar att betalningsviljan av boarea och avgift har minskat mellan år 2005 och 2013. För boarea minskar betalningsvilja med ökat antal rum vilket skulle kunna vara en effekt av bolånetakets införande.