Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maximálně věrohodný odhad"'
Autor:
Redek, David
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distribution is analyzed in detail. Two estimation methods are described - method of moments and maximum likelihood - together with the discussion of their prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::ff1aea4c1d31d647c79b973be451de5d
http://www.nusl.cz/ntk/nusl-448097
http://www.nusl.cz/ntk/nusl-448097
Autor:
Vočadlo, Vojtěch
This bachelor thesis deals with the research and comparison of two proposed two- parameter generalizations of the exponential distribution. It studies the basic properties of densities and gives relations for moments of the first four orders. Further
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::c5aad12515680704558d1736ad67cffd
http://www.nusl.cz/ntk/nusl-448576
http://www.nusl.cz/ntk/nusl-448576
Autor:
Psutka, Josef
Growing awareness towards the sustainability has compelled supply chain domain experts to explore its relevance in this context. As a result, a number of studies in recent years have focused on investigating sustainable supply chain practices across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::07b875e64972f1d9dacd6c1c24b03e5a
http://hdl.handle.net/11025/35857
http://hdl.handle.net/11025/35857
Autor:
Tritová, Hana
The thesis deals with maximum likelihood estimators in time series. The reader becomes familiar with three important models for time series: autoregressive model (AR), moving average model (MA) and autoregressive moving average (ARMA). Thereafter he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2e4a9e1bc0e168824e92453c50332cdd
http://www.nusl.cz/ntk/nusl-314577
http://www.nusl.cz/ntk/nusl-314577
Autor:
Kováčová, Iveta
Title: Time series and stochastic volatility in finance Author: Iveta Kováčová Department: Department of Probability and Mathematical Statistics Supervisor: Doc. RNDr. Jan Hurt, CSc. Supervisor's e-mail address: hurt@karlin.mff.cuni.cz Abstract: F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::dc8753ee6e7eb2d145a883efee0278a5
http://www.nusl.cz/ntk/nusl-302845
http://www.nusl.cz/ntk/nusl-302845
Autor:
Holčák, Lukáš
This diploma thesis is focused on the analysis of small samples where it is not possible to obtain more data. It can be especially due to the capital intensity or time demandingness. Where the production have not a wherewithall for the realization mo
Externí odkaz:
http://www.nusl.cz/ntk/nusl-227882