Daftar Prosiding dengan kategori 'ICAS 2013'

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Tim Admin Departemen Statistika ICAS 2013

Abstract - Cover ICAS 2013.. [ Read More ]

MAXIMUM LIKELIHOOD AND SIMPLISMA TO ESTIMATE THE NUMBER OF PURE COMPONENTS IN MIXTURES

Triyani Hendrawati, Erfiani, Yenni Angraini ICAS 2013

Abstract - Abstract Adulteration cases of herbal medicine increase today. The composition of the products listed may not correspond to reality or in other words going adulteration of herbal medicine. One way to identify the quality herbal medicines is determine the number of components in their mixtures. In this research exploratory data analysis was performed on UV-VIS data sets to estimate the number of pure components in mixtures. The methods to estimate the number of pure components are Maximum Likelihood Estimator (MLE) of intrinsic dimension and SI.. [ Read More ]

COMPARISON OF STATISTICAL MODELS FOR DETERMINATION OF RICE FIELD PHOSPHORUS CRITICAL LEVEL

Mohammad Masjkur, Bagus Sartono and Itasia Dina Sulvianti ICAS 2013

Abstract - The method used in the determination of rice field phosphorus nutrient availability classes is a graphical method of Cate and Nelson (1965) and a modified analysis of variance model (Nelson and Anderson, 1977). On the other hand, there are other models commonly used by researchers in determining the nutrients critical levels that are linear plateau, quadratic, and logarithmic models. Different models could produce different nutrient critical levels and economic benefits. This study aims to determine the best model for determination of rice f.. [ Read More ]

WINSORIZATION ON SMALL AREA INFERENCE WITH POSITIVELY SKEWED DISTRIBUTIONS

Anang Kurnia, Dian Kusumaningrum, Pika Silvianti and Dian Handayani ICAS 2013

Abstract - Many research on small area estimation (SAE) is typically based on a linear mixed model (LMM) assumptions. When the relationship between the interest and the auxiliary variables is not linear in the original scale, the SAE based on LMM could be inefficient. However, in practice, particularly in economic fields, the interest variable such as revenue or expenditure often does not follow normal distribution. In this paper we will discuss the performance of SAE when the variable of interest does not follow normal distribution, but particularly it.. [ Read More ]

INTERVAL ESTIMATION FOR SURVIVOR FUNCTION OF EXPONENTIAL DISTRIBUTION UNDER MULTIPLE TYPE-II CENSORING ON SIMPLE CASE

Kartika Ari Susanti and Akhmad Fauzy ICAS 2013

Abstract - In this article, one method is proposed to give the interval estimation for the survivor function on one parameter exponential distribution under multiple type-II censoring on simple case. Survivor function is a probability of an individual surviving till time t. The interval estimation for survivor function can be constructed the estimated parameters. Keywords: Multiple type-II censoring, Survivor function . .. [ Read More ]