National Repository of Grey Literature 13 records found  previous11 - 13  jump to record: Search took 0.01 seconds. 
The role of wood decay fungi in the dynamics of a mountain spruce forest
POUSKA, Václav
This thesis is focused on environmental preferences of wood-decaying fungi and their relationships with forest structure and development. Relationships of fungi to properties of wood and forest stands were studied on the basis of field observations in Central-European mountain spruce forests. Plot-based approach was used to reveal a general pattern in the diversity of fungi within a single forest stand and between different stands. The analysis of stand structure provided a background for plot-based approach. Substrate-based approach was used to study single species preferences and their communities. In addition, the influence of wood properties (including fungi and their rots) on the regeneration of spruce on logs was studied.
Logistic and Poisson regression
Kalina, Jan
The work describes methods of logistic and Poisson regression for the analysis of contingency tables. It explains general principles of hypothesis testing about the significance of their parameters. Particular methods can be derived also within a general theory of generalized linear models. For this general context also principles of variable selection are investigated. It is shown how properties of particular methods correspond to properties, which can be derived in the framework of generalized linear models.
Retail loan repayment analysis using generalized linear models
Šolc, Michal ; Jarošová, Eva (advisor) ; Forbelská, Marie (referee)
This Diploma thesis concern with generalized linear models and their application in bank practice. Especially to analyze retail loan repayment. First of all we see into theoretical viewpoint of generalized linear models. We shortly try to summarize problems of clasical linear model restrictions and after that we apply to theory on which generalized models are based. We introduce an overview of generalized linear models and after that we concern models, where dependent variable have multinomial and gamma distribution in detail. Main part this thesis is dedicated to data analysis about bank retail loans repayments. In this analysis we use those early mentioned models. We try to create good statistical models on which base the risk ratio of current bank clients could be predicted. The risk ratio is measured by two main indicators, which are: "overdue time" and "overdue amount". For analysis is used statistical software SAS.

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