Home > Search Results: keywords:"sekvenčné odhady"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Bounded length sequential intervals
 Lapšanská, Alica ; Hušková, Marie (advisor) ; Hlávka, Zdeněk (referee)
The Bachelor's thesis concerns the construction of bounded length sequential intervals with predetermined confidence. This paper analyses some methods, which solve this problem. In the first part we deal with a special case of random sample from normal population. For a known variance we use knowledge from nonsequential theory of interval estimation. We describe Stein's two-stage procedure for an unknown variance. Furthermore, we determine expected value of total sample range for various interval lengths. The second part generally considers a random sample from population with unknown finite variance. We present modified Stein's procedure and sequential Wald's procedure. Finally using simulation, we endeavor to find out a distribution of random variable, which corresponds to the sample range in case of unknown variance. We do this for all of the three mentioned procedures.
Detailed record
Bounded length sequential intervals
 Lapšanská, Alica ; Hušková, Marie (advisor) ; Hlávka, Zdeněk (referee)
The Bachelor's thesis concerns the construction of bounded length sequential intervals with predetermined confidence. This paper analyses some methods, which solve this problem. In the first part we deal with a special case of random sample from normal population. For a known variance we use knowledge from nonsequential theory of interval estimation. We describe Stein's two-stage procedure for an unknown variance. Furthermore, we determine expected value of total sample range for various interval lengths. The second part generally considers a random sample from population with unknown finite variance. We present modified Stein's procedure and sequential Wald's procedure. Finally using simulation, we endeavor to find out a distribution of random variable, which corresponds to the sample range in case of unknown variance. We do this for all of the three mentioned procedures.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English