Grain yield, net blotch and scald of barley in Finnish official variety trials

Selostus: Ohrasato ja verkko- ja rengaslaikku virallisissa lajikekokeissa

Utilisation of Statistics in Intelligent Web Applications

Web-portaalien aiheenmukaista luokittelua voidaan hyödyntää tunnistamaan käyttäjän kiinnostuksen kohteet keräämällä tilastotietoa hänen selaustottumuksistaan eri kategorioissa. Tämä diplomityö käsittelee web-sovelluksien osa-alueita, joissa kerättyä tilastotietoa voidaan hyödyntää personalisoinnissa. Yleisperiaatteet sisällön personalisoinnista, Internet-mainostamisesta ja tiedonhausta selitetään matemaattisia malleja käyttäen. Lisäksi työssä kuvaillaan yleisluontoiset ominaisuudet web-portaaleista sekä tilastotiedon keräämiseen liittyvät seikat.

Contents of trichothecenes in oats during official variety, organic cultivation and nitrogen fertilization trials in Finland

Selostus: Kauran trikotekeenipitoisuus virallisissa lajikekokeissa sekä typpilannoitus- ja luomulajikekokeissa

β-Glucan contents of groats of different oat cultivars in official variety, in organic cultivation, and in nitrogen fertilization trials in Finland

Selostus: Kauran ytimen β-glukaanipitoisuus

Productivity of Business Services - Towards A New Taxonomy

Statistics show that the expanding service sector accounts already for three quarters of GDP in the developed economies. Moreover, there is abundant evidence on high variation in productive performance across the service industries. This suggests divergent technological and institutional trajectories within the tertiary sector. While conceptual knowledge on services and their performance has accumulated substantially, the overall landscape on productivity and competitiveness is still inconclusive. As noted by number of authors the research on service productivity is still in its infancy. The purpose of this paper is to develop further the analytical framework of service productivity. The approach is based on the notion that service definitions, classifications and performance measurement are strongly interdependent. Given the ongoing restructuring of businesses activities with higher information content, it is argued that the dichotomy between manufacturing and services should not be taken too far. Industrial evolution also suggests that the official industry classifications are increasingly outdated and new taxonomies for empirical research are therefore needed. Based on the previous analyses and new insights the paper clarifies the debated concept of service productivity and identifies the critical dimensions by which the service industries cluster. It is also demonstrated that the dimensions enable to construct new service taxonomies which bear essentially on productivity opportunities at the business level. Needles to say the key determinant explaining the development and potential of productivity growth is innovation activity. As an extensive topic of research, however, service innovation is tackled here only in a cursory way. The paper is constructed as follows: the first section focuses on the conceptual issues and evolving nature of service activities. A workable definition of service should capture the diversity of service activities, as well as the aspects of service processes, comprehensively. The distinctions and similarities between services and manufacturing are discussed, too. Section 2 deals with the service productivity, a persistent and controversial issue in academic literature and policy. With the assessments of strengths and weaknesses of the main schools new insights based on value creation will be brought in. Industry classifications and taxonomies are discussed in Section 3. It begins with a short analysis of the official classifications and their evaluation from the perspective of empirical research. Using well-known examples it is shown that the taxonomies on the manufacturing industries have a clear analogy with the business services. As there is a growing interest to regroup services too, the work to date, has been less systematic and inherently qualitative. Based on the earlier contributions threedimensional service taxonomy is constructed which highlight the key dimensions of productive performance. The main findings and implications are summed up in Section 4.

Applications of Industrial Statistics

This dissertation examines knowledge and industrial knowledge creation processes. It looks at the way knowledge is created in industrial processes based on data, which is transformed into information and finally into knowledge. In the context of this dissertation the main tool for industrial knowledge creation are different statistical methods. This dissertation strives to define industrial statistics. This is done using an expert opinion survey, which was sent to a number of industrial statisticians. The survey was conducted to create a definition for this field of applied statistics and to demonstrate the wide applicability of statistical methods to industrial problems. In this part of the dissertation, traditional methods of industrial statistics are introduced. As industrial statistics are the main tool for knowledge creation, the basics of statistical decision making and statistical modeling are also included. The widely known Data Information Knowledge Wisdom (DIKW) hierarchy serves as a theoretical background for this dissertation. The way that data is transformed into information, information into knowledge and knowledge finally into wisdom is used as a theoretical frame of reference. Some scholars have, however, criticized the DIKW model. Based on these different perceptions of the knowledge creation process, a new knowledge creation process, based on statistical methods is proposed. In the context of this dissertation, the data is a source of knowledge in industrial processes. Because of this, the mathematical categorization of data into continuous and discrete types is explained. Different methods for gathering data from processes are clarified as well. There are two methods for data gathering in this dissertation: survey methods and measurements. The enclosed publications provide an example of the wide applicability of statistical methods in industry. In these publications data is gathered using surveys and measurements. Enclosed publications have been chosen so that in each publication, different statistical methods are employed in analyzing of data. There are some similarities between the analysis methods used in the publications, but mainly different methods are used. Based on this dissertation the use of statistical methods for industrial knowledge creation is strongly recommended. With statistical methods it is possible to handle large datasets and different types of statistical analysis results can easily be transformed into knowledge.

Geological sketch map of New Zealand constructed from official surveys and the explorations of F. von Hochstetter, Julius Haast and others

Kartta kuuluu A. E. Nordenskiöldin kokoelmaan