ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR

ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR

Pareto distribution is commonly used as a model the distribution of income is not the greatest for the overall income distribution. The parameter k is usually called the Pareto distribution Pareto coefficient. It can be used as a characteristic differentiation of 50% of the highest income. <br /...

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Main Author: MOHAMAD AYYARURRAHMAN (NIM : 10106058); Pembimbing : Drs. Sumanto, M.Com., ABY
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/14607
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:14607
spelling id-itb.:146072017-09-27T11:43:01ZESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR MOHAMAD AYYARURRAHMAN (NIM : 10106058); Pembimbing : Drs. Sumanto, M.Com., ABY Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/14607 Pareto distribution is commonly used as a model the distribution of income is not the greatest for the overall income distribution. The parameter k is usually called the Pareto distribution Pareto coefficient. It can be used as a characteristic differentiation of 50% of the highest income. <br /> <br /> <br /> In this thesis, the method of least squares, maximum likelihood estimator is used to estimate the Pareto distribution. To find out which is the best estimator, the average squared error (MSE) is used to compare the least squares method and the maximum likelihood estimator 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 Pareto distribution is commonly used as a model the distribution of income is not the greatest for the overall income distribution. The parameter k is usually called the Pareto distribution Pareto coefficient. It can be used as a characteristic differentiation of 50% of the highest income. <br /> <br /> <br /> In this thesis, the method of least squares, maximum likelihood estimator is used to estimate the Pareto distribution. To find out which is the best estimator, the average squared error (MSE) is used to compare the least squares method and the maximum likelihood estimator
format Final Project
author MOHAMAD AYYARURRAHMAN (NIM : 10106058); Pembimbing : Drs. Sumanto, M.Com., ABY
spellingShingle MOHAMAD AYYARURRAHMAN (NIM : 10106058); Pembimbing : Drs. Sumanto, M.Com., ABY
ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR
author_facet MOHAMAD AYYARURRAHMAN (NIM : 10106058); Pembimbing : Drs. Sumanto, M.Com., ABY
author_sort MOHAMAD AYYARURRAHMAN (NIM : 10106058); Pembimbing : Drs. Sumanto, M.Com., ABY
title ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR
title_short ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR
title_full ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR
title_fullStr ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR
title_full_unstemmed ESTIMATION PARAMETER FOR PARETO DISTRIBUTION USING LEAST SQUARE METHOD AND MAXIMUM LIKELIHOOD ESTIMATOR
title_sort estimation parameter for pareto distribution using least square method and maximum likelihood estimator
url https://digilib.itb.ac.id/gdl/view/14607
_version_ 1820737266989924352

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