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undergraduate thesis
Binomna i Poissonova razdioba diskretne slučajne varijable
2023. urn:nbn:hr:190:187725
Tadić, Ema
University of Rijeka
Faculty of Engineering
Department of Mathematics, Physics, and Foreign Languages
Section of Applied Mathematics

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Tadić, E. (2023). Binomna i Poissonova razdioba diskretne slučajne varijable (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:187725

Tadić, Ema. "Binomna i Poissonova razdioba diskretne slučajne varijable." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:187725

Tadić, Ema. "Binomna i Poissonova razdioba diskretne slučajne varijable." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:187725

Tadić, E. (2023). 'Binomna i Poissonova razdioba diskretne slučajne varijable', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 10 July 2024, https://urn.nsk.hr/urn:nbn:hr:190:187725

Tadić E. Binomna i Poissonova razdioba diskretne slučajne varijable [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2023 [cited 2024 July 10] Available at: https://urn.nsk.hr/urn:nbn:hr:190:187725

E. Tadić, "Binomna i Poissonova razdioba diskretne slučajne varijable", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:190:187725

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Metadata
TitleBinomna i Poissonova razdioba diskretne slučajne varijable
Title (english)Binomial and Poisson distribution of a discrete random variable
AuthorEma Tadić
MentorIvan Dražić (mentor)
MentorAngela Bašić-Šiško (komentor)
Committee memberDubravko Franković (predsjednik povjerenstva)
Committee memberIvan Dražić (član povjerenstva)
Committee memberAngela Bašić-Šiško (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Mathematics, Physics, and Foreign Languages)
(Section of Applied Mathematics)
Rijeka
Defense date and country2023-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu analizirane su osnove vjerojatnosti koje su potrebne za shvaćanje pojma razdiobe. Navedene su razne vrste razdioba i njihova primjena u svakodnevnom životu. Posebno je stavljen naglasak na binomnu i Poissonovu diskretnu razdiobu. Objašnjeno je da binomna razdioba modelira broj uspjeha u fiksnom broju neovisnih Bernoullijevih pokusa, gdje svaki pokus ima samo dva moguća ishoda, a da Poissonova razdioba modelira broj događaja koji se dogode unutar fiksnog intervala vremena ili prostora. Dokazano je i da se binomna razdioba može aproksimirati Poissonovom radi lakšeg računanja.
Abstract (english)
This paper analyzes the basics of probability which are necessary for understanding the concept of distribution. Various types of distribution and their application in everyday life are listed. Emphasis is placed on the binomial and Poisson discrete distributions. It is explained that the binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, where each trial has only two possible outcomes and that the Poisson distribution models the number of events that occur within a fixed interval of time or space. It is also proven that the binomial distribution can be approximated by the Poisson distribution for easier calculations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:187725
Study programmeTitle: Undergraduate University Study of Electrical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-19 07:31:24