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Media Statistika
Published by Universitas Diponegoro
ISSN : -     EISSN : 24770647     DOI : -
Core Subject : Science,
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Articles 6 Documents
Search results for , issue "Vol 3, No 2 (2010): Media Statistika" : 6 Documents clear
BAGGING REGRESI LOGISTIK ORDINAL PADA STATUS GIZI BALITA Akbar, Muhammad Sjahid; Mukarromah, Adatul; Paramita, Lalita
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.151 KB) | DOI: 10.14710/medstat.3.2.103-116

Abstract

World Health Organization-National Centre for Health Statistic (WHO-NCHS) is standart nutritional status used in Indonesia, it based on Kartu Menuju Sehat (KMS). These Indices can be expressed in terms of Z-score based Weight-for-Age. This Indices need comparison considering the fact which cause nutritional status not only Weight-for-Age. The aim from this research to obtain bagging ordinal logistics regression for WHO-NCHS nutritional status and new nutritional status. A new nutritional status expressed in terms of cluster, while classification function expressed from logit model of ordinal logistics regression. The result for new nutritional status bagging obtained at 60 bootstrap replicated that is 76.345%, this model can decrease misclassification until 22.046%. While bagging for WHO-NCHS nutritional status can increase accurate classification from single data set 75.863% at 150 bootstrap replicated.   Keywords: Child nutritional status, Bagging, Ordinal logistics regression.
DISTRIBUSI INVERS GAMMA PADA INFERENSI BAYESIAN Sugito, Sugito; Ispriyanti, Dwi
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.831 KB) | DOI: 10.14710/medstat.3.2.59-68

Abstract

One of the methods which can be used in statistical inferences  is Bayesian inference. It is combine sample distribution and prior distribution, that can be resulted posterior distribution. In this article, sample distribution use univariate normal distribution. If prior distribution for variance with known mean is gamma inverse distribution, then posterior distribution is formed gamma inverse distribution. If Prior distribution use non-informative prior, then have the posterior distribution, by the  marginal distribution of mean and varian. Also posterior distribution formed by gamma inverse distribution.   Keywords: Gamma Inverse Distribution, Posterior Distribution, Non-Informatif Prior
ANALISIS KORESPONDENSI UNTUK PEMETAAN PERSEPSI Rusgiyono, Agus
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.977 KB) | DOI: 10.14710/medstat.3.2.117-123

Abstract

Correspondence analysis used to investigate the relationship between two or more qualitative variables. This technique could shrink the dimensions of variables and describe the profile vector of rows and columns of a matrix vector data from the contingency table. Target correspondence analysis is to show the relationship variables rows and columns as well as visualization variables in R2-dimensional space, using the Chi square of the distance definition in sub-Euclidean space. Keywords: Profile of Row and Column Vectors, Chi Square Distance, Euclidean Subset
UJI HIDUP DIPERCEPAT PADA DISTRIBUSI EKSPONENSIAL TERSENSOR TIPE II DENGAN TEGANGAN KONSTAN Prayudhani, Oktaviana; Wuryandari, Triastuti
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.309 KB) | DOI: 10.14710/medstat.3.2.69-78

Abstract

Accelerated Life Testing (ALT) is used to obtain information quickly on life distribution, failure rates and reliabilities. ALT is achieved by subjecting the test units to conditions such that the failure occur sooner. Prediction of long term reliability can make within a short periode of time. Result from the ALT are used to extrapolate the unit characteristic at any future time and at given normal operating conditions. ALT using a time varying stess application is often used to induce failure in relatively short times. The most basic and useful type of ALT in which the stress on each unit is increased step by step over time, it can substantially shorten the duration of the reliability test. The life distribution which used in reliability test is exponential distribution. By using Maximum Likelihood Estimation is obtained point estimation of parameter on step stress, and povital quantity is obtained confidence interval for parameter. From this estimation Mean Time to Failure (MTTF) and reliability of product under normal operating condition   Keysword: Accelerated Life Testing (ALT), Step Stress, Exponential Distribution, Maximum Likelihood Estimation, Povital Quantity
PEMERIKSAAN DATA BERPENGARUH DALAM MODEL REGRESI GAMMA Hajarisman, Nusar
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.338 KB) | DOI: 10.14710/medstat.3.2.79-92

Abstract

In certain cases, often encountered a group of data where the observed respone variable shaped non-negative and not symmetrical (skewed to the right). The case data such as this one can be found in the field of insurance, such as variable stating the amount of claims or states of time between when a customer claims to obtain these claims. To handle such cases one of them is by using a generalized linear model, with respone variables that follow the gamma distribution. The paper discusses the inspection data outliers and influential data in the modeling of the respone following the gamma distribution. Several statistical measures used to examine the outlier data is the value of leverage, standardized deviance residual, standardized Pearson residual, and residual likelihood. Then the data outliers potentially influential data will be examined using Cook's distance statistics.   Keywords: Gamma Distributions, Leverage, Standardized Deviance Residual, Standardized Pearson Residual, And Residual Likelihood, Cook's Distance Statistics
ANALISIS KLASTER UNTUK SEGMENTASI PEMIRSA PROGRAM BERITA SORE STASIUN TV SWASTA Rosiatun, Aan; Widiharih, Tatik; Safitri, Diah
MEDIA STATISTIKA Vol 3, No 2 (2010): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.177 KB) | DOI: 10.14710/medstat.3.2.93-102

Abstract

A procedure market segmentation is designing the market segmentation use the method of cluster k-means analyze which applied in process designing the market evening news audiences on  tv chanels. The process of grouping audiences into each segment which  formed, based on likeness of characteristic owned and it formed 3 market segment evening news audiences, that is audiences group who give low evaluation, audiences group who give enough evaluation, and audiences group who give high evaluation. Result from the market segmentation with case study at Pangkah district Tegal regency got first cluster is 25.2 %, second cluster is 46 %, and third cluster is 28.8 %. Marketing strategy can target be old > 20 years because it has members total of cluster is biggest. The result can be used by a television company to determine marketing strategy.   Keywords: Characteristic, Market Segmentation, Cluster K-Means Analysis

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