Sökning: "multivariate method"

Visar resultat 1 - 5 av 286 avhandlingar innehållade orden multivariate method.

  1. 1. Univariate and Multivariate Surveillance of Outbreaks

    Författare :Linus Schiöler; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; change-points; expected delay; exponential family; false alarms; generalised likelihood; inference principles; influenza; MEWMA; monitoring; multivariate; ordered regression; performance metrics; outbreak; predictive value; subjective judgment; spatial; statistical models; surveillance; tularemia;

    Sammanfattning : In many areas there is a need to monitor observations in order to detect changes in the underlying processes as quickly as possible. The theory of statistical surveillance provides the possibility of making optimal decisions about whether a change has occurred or not based on the data available at the time of the decision. LÄS MER

  2. 2. Multivariate profiling of metabolites in human disease : Method evaluation and application to prostate cancer

    Författare :Elin Thysell; Henrik Antti; Janne Lehtiö; Umeå universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; metabolite profiling; metabolomics; predictive metabolomics; mass spectrometry; GC-MS; biomarkers; chemometrics; design of experiments; multivariate data analysis; prostate cancer; bone metastases; plasma; biologisk kemi; biological chemistry;

    Sammanfattning : There is an ever increasing need of new technologies for identification of molecular markers for early diagnosis of fatal diseases to allow efficient treatment. In addition, there is great value in finding patterns of metabolites, proteins or genes altered in relation to specific disease conditions to gain a deeper understanding of the underlying mechanisms of disease development. LÄS MER

  3. 3. Continuous monitoring of mineral processes with special focus on tumbling mills : a multivariate approach

    Författare :Kent Tano; Luleå tekniska universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mineralteknik; Mineral Processing;

    Sammanfattning : Increasing emphasis on productivity and quality control has provided an impetus to research on better methodologies for diagnosis, modelling, monitoring, control and optimisation of mineral process systems. One of the biggest challenges facing the research community is the processing of raw sensor data into meaningful information. LÄS MER

  4. 4. Multivariate Aspects of Phylogenetic Comparative Methods

    Författare :Krzysztof Bartoszek; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; General Linear Model; Ornstein-Uhlenbeck process; Multivariate phylogenetic comparative method; Evolutionary model; Adaptation; Optimality; Measurement error; Regression; Adaptation; Major-axis regression; Reduced major-axis regression; Structural equation; Allometry; Phylogenetic inertia; Allometry;

    Sammanfattning : his thesis concerns multivariate phylogenetic comparative methods. We investigate two aspects of them. The first is the bias caused by measurement error in regression studies of comparative data. We calculate the formula for the bias and show how to correct for it. LÄS MER

  5. 5. Decoding the complex brain : multivariate and multimodal analyses of neuroimaging data

    Författare :Alireza Salami; Lars Nyberg; Cheryl Grady; Umeå universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; multivariate analysis; univariate analysis; multimodal imaging; episodic memory; aging; functional magnetic resonance imaging; diffusion tensor imaging; biology; biologi; Psychology; psykologi; datoriserad bildanalys; Computerized Image Analysis;

    Sammanfattning : Functional brain images are extraordinarily rich data sets that reveal distributed brain networks engaged in a wide variety of cognitive operations. It is a substantial challenge both to create models of cognition that mimic behavior and underlying cognitive processes and to choose a suitable analytic method to identify underlying brain networks. LÄS MER