Very often the interesting variables are explained by several underlying variables and in statistical analyses it is common to study the relationship between variables and groups of variables. Because of this Multivariate analysis is commonly used in both science and industry. There are two problem with both univariate and Multivariate analyses. One is when the variables are correlated. The other is when the number variables of exceeds the number of observations which makes the matrices algebra used in the analysis impossible to execute.

Very often the interesting variables are explained by several underlying variables and in statistical analyses it is common to study the relationship between variables and groups of variables. Because of this Multivariate analysis is commonly used in both science and industry. There are two problem with both univariate and Multivariate analyses. One is when the variables are correlated. The other is when the number variables of exceeds the number of observations which makes the matrices algebra used in the analysis impossible to execute.

Very often the interesting variables are explained by several underlying variables and in statistical analyses it is common to study the relationship between variables and groups of variables. Because of this Multivariate analysis is commonly used in both science and industry. There are two problem with both univariate and Multivariate analyses. One is when the variables are correlated. The other is when the number variables of exceeds the number of observations which makes the matrices algebra used in the analysis impossible to execute.

A Multivariate cross-sectional model is used in this thesis to proxy for expected earnings and to estimate return on equity for 214 companies over the period 2009-2013, using Swedish data. The model, which has never been tested on Swedish data before, is first confirmed to function as a forecasting model for expected return. Furthermore, the model is evaluated through a comparison with two univariate models based on the assumption that return on equity follows a mean reversion process. Forecast accuracy is calculated as the difference of estimated returns and actual returns. The results show that the univariate models' forecasts are superior to the Multivariate model's..

The value investing philosophy, which can be traced at least to the teaching of Graham and Dodd in the 1930?s, entails identifying and investing in potentially under valued stocks with a potential for extraordinary returns. The focus of this thesis is to identify patterns and characteristics in financial accounting data preceding creation of shareholder value. The authors of this thesis utilize a Multivariate discriminant analysis in order to identify indicators of value creation and subsequent extraordinary returns in value stocks. A discriminant function is derived which successfully identifies which value stocks will eventually become growth stocks.

To United Minds, large-scale surveys are an important offering to clients, not least the public opinion poll Va?ljarbarometern. A risk associated with surveys is satisficing ? sub-optimal response behaviour impairing the possibility of correctly describing the sampled population through its results. The purpose of this study is to ? through the use of Multivariate outlier detection methods - identify those observations assumed to be non-representative of the population.

The thick-shelled river mussel (Unio crassus) is a red listed species classified as Endangered (EN) and is also considered within the Habitats Directive. The distribution in Sweden is fragmented and it is mostly occurring in the south eastern parts. We investigated the presence of Unio crassus in a section of the stream Storån, Östergötland County, from Falerum to the inflow into Lake Åkervristen. The environmental parameters investigated were water depth, bottom substrate, shading, water velocity and the slope over the water surface. In this thesis I have focused mainly on water depth and shading, comparing sites with and without mussels.

Hallsta paper mill uses large amounts of water during the pulp and paper making processes. The wastewater is treated in two separate activated sludge processes referred to as BIO 1 and BIO 2. The main aim is to reduce the organic substance content, measured as COD (Chemical Oxygen Demand) before the wastewater is released into the environment. Since the effluent produced is very rich in organic substances, the addition of nitrogen (N) and phosphorus (P) are necessary to give satisfactory treatment results. Problems with sludge bulking sometimes occur which lead to increased levels of suspended matter and nutrients in the effluent.

The purpose of this Master's thesis is to find possible explanations of variation in light scattering in a fine paper. Samples were collected from each second tambour during a time period of two weeks from a paper machine at MoDo Paper, Husum. Two data sets, consisting of 20 and 95 observations, were selected for extensive analysises of tensile and structual properties. The data was evaluated with Multivariate data techniques using the programs Simca and Extract. The results of PCA- and PLS- analysises pointed out 3 of 52 variables as important for the variations in light scattering.

Vid analys av fluider med akustisk spektroskopi finns ett behov av att finna multivariata metoder för att utifrån akustiska spektra prediktera storheter såsom viskositet och densitet. Användning av artificiella neurala nätverk och bayesiska nätverk för detta syfte utreds genom teoretiska och praktiska undersökningar. Förbehandling och uppdelning av data samt en handfull linjära och olinjära multivariata analysmetoder beskrivs och implementeras. Prediktionsfelen för de olika metoderna jämförs och PLS (Partial Least Squares) framstår som den starkaste kandidaten för att prediktera de sökta storheterna..

Corporate failures pose a problem for banks, investors, customers, employees andinsurers. With a Multivariate discrimination method, the study aims to find the specificfinancial ratios that most accurate reveals a company's financial health, which is ofinterest to all of the above parties. The data consist of 1042 Swedish small enterprisesand 30 different financial ratios between the years 2005?2007. The result shows thatbankrupt firms three years before bankruptcy have a disadvantaged capital structurewith poor solvency and high debt.

The aim of this thesis is to find a statistical model that sort logs according to a predicted modulus of elasticity on the sawn boards. The input parameters for the model are X-ray variables from an X-ray scanner. For some of the log classes sawn at the sawmill it is desirable to have a narrow distribution of modulus of elasticity on the sawn boards. 250 pine logs from five different diameter classes were numbered and followed through the sawmill process. Log data were collected from X-ray and 3-D scanners in the log intake.

This thesis examines a sample of Pitted Ware pottery from the Gotlandic site of Ajvide in regard to the spatial and temporal relationship of the shards. Ajvide Stone Age site have been extensively excavated over the past 25 years and the most recent analysis of pottery was carried out by Inger Österholm in 1987 and new analyses of the material are therefore greatly needed. Pottery from three sample areas was analysed in regard to their distribution, decoration, fragmentation, part of pot and quality of the goods. To analyse the material in a contextual way a Multivariate statistical analysis called correspondence analysis was used. Two areas denominated ?dark areas?, which Österholm defined previously, as possible ritual sites, and one reference area with mixed material were chosen for the analysis.

A logical cause of migration is of course immigrants which is a topic always creating discussions. When arriving in a new country a process of integration with the goal to adapt to the environment is started. This study will explore the need for integration and seeks to examine the connection between population composition and radical right opinions.To fulfill the aim, a Multivariate regression analysis is done on aggregated level in Sweden with statistics concerning the year of 2010. The relation between ethnic composition and voters support for the Swedish radical right party Sverigedemokraterna is studied as well as integration as an explanatory intermediate factor operationalized through unemployment, financial assistance and trust.The results of the study indicate a positive connection between immigrants from EU/EFTA and the voter support for Sverigedemokraterna. A negative relation is identified between trust and the voter support for Sverigedemokraterna.

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.