National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Analysing Data from Social Networks
Skyva, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The goal of this bachelor thesis is to examine social networks, propound and implement the system, which manage acquire,index and analyze downloaded data. Created system is demonstrated on examples with computer games and it is implemented with Python programming language, where for indexing is using ElasticSearch.
Testing equality of means by confidence intervals
Jandl, Vojtěch ; Kulich, Michal (advisor) ; Pešta, Michal (referee)
We deal with testing the equality of means using confidence intervals. Firstly, we introduce the methods of testing that have already been published. The advantage of these methods is that one can present the underlying confidence intervals alongside the result of the test without doing further calculations. In the second part we discuss the necessary assumptions and by that we extend the Noguchi's method to discrete distribu- tions. Also, we derive a generalization of the Noguchi's method for testing the equality of other parameters than means, based on the assumption of asymptotic normality of their consistent estimates. Lastly, we conduct a simulation study in order to compare the methods we discussed. We found out that the Noguchi's method is a worthy alternative to the often-used Welch test bearing the advantage of being able to present extra visual output in the form of the underlying confidence intervals. In comparison to other methods the Noguchi's method yields better results in the case of unequal or small sample sizes. Unlike other methods it can also be used for testing in the paired sample case. 1
Analysing Data from Social Networks
Skyva, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The goal of this bachelor thesis is to examine social networks, propound and implement the system, which manage acquire,index and analyze downloaded data. Created system is demonstrated on examples with computer games and it is implemented with Python programming language, where for indexing is using ElasticSearch.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.