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ABSTRACT: <br /> <br /> <br /> <br /> <br /> <br /> In thermodynamics, entropy is known as a measure of disorder. It is an interesting subject that can be learned in mathematics, particularly in statistics. In this final thesis, several entropys characterist...

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Main Author: Christina Kaban (NIM 10103062), Lydia
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/6406
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:6406
spelling id-itb.:64062017-09-27T11:43:03Z#TITLE_ALTERNATIVE# Christina Kaban (NIM 10103062), Lydia Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/6406 ABSTRACT: <br /> <br /> <br /> <br /> <br /> <br /> In thermodynamics, entropy is known as a measure of disorder. It is an interesting subject that can be learned in mathematics, particularly in statistics. In this final thesis, several entropys characteristics in discrete and continoue random variable had been learned, such as the independence, marginal and conditional. Furthermore, entropy can be used for a case of special ditributions. Eventhough for several distributions, this thesis shows that the calculation of entropy will not be as simple as the calculation of the mean and the variation. This final thesis also study entropy in the sequence of random variable (stochastic process), especially in Markov chain and Hidden Markov Model (HMM). In HMM, entropy is used to locate the optimal state sequence in the model. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description ABSTRACT: <br /> <br /> <br /> <br /> <br /> <br /> In thermodynamics, entropy is known as a measure of disorder. It is an interesting subject that can be learned in mathematics, particularly in statistics. In this final thesis, several entropys characteristics in discrete and continoue random variable had been learned, such as the independence, marginal and conditional. Furthermore, entropy can be used for a case of special ditributions. Eventhough for several distributions, this thesis shows that the calculation of entropy will not be as simple as the calculation of the mean and the variation. This final thesis also study entropy in the sequence of random variable (stochastic process), especially in Markov chain and Hidden Markov Model (HMM). In HMM, entropy is used to locate the optimal state sequence in the model.
format Final Project
author Christina Kaban (NIM 10103062), Lydia
spellingShingle Christina Kaban (NIM 10103062), Lydia
#TITLE_ALTERNATIVE#
author_facet Christina Kaban (NIM 10103062), Lydia
author_sort Christina Kaban (NIM 10103062), Lydia
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/6406
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