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Statistika
Published by Universitas Islam Bandung
ISSN : 14115891     EISSN : 25992538     DOI : https://doi.org/10.29313/jstat.v19i2.4898
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics
STATISTIKA published by Bandung Islamic University as pouring media and discussion of scientific papers in the field of statistical science and its applications, both in the form of research results, discussion of theory, methodology, computing, and review books.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 8 Documents
 1 
Search results for , issue "Vol 9, No 1 (2009)" : 8 Documents clear
Modeling Distribution of Jobs Using Production Function Anton Abdulbasah Kamil
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.990

Abstract

This paper presents a theory in which the composition of jobs is always sub-optimal, we use a searchframework which is a natural tool to model a situation in which identical workers can end up indifferent jobs with very different compensation patterns. First we will show that if different types ofjobs have different creation (capital) costs, then those which cost more to create will have to payhigher wages due to rent sharing; therefore. There will naturally exist good and bad jobs in thiseconomy. Second, establish that in an unregulated market, the composition of jobs is in efficientlybiased towards bad jobs.
Kecocokan Distribusi Normal Menggunakan Plot Persentil-Persentil yang Distandarisasi Lisnur Wachidah
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.991

Abstract

Dalam penelitian, peneliti tidak terlepas dengan data. Untuk keperluan analisis, ada ketentuanbahwa asumsi dari data yang dipergunakan haruslah mengikuti distribusi normal. Salah satumetode untuk kecocokan distribusi normal, dapat menggunakan Plot Persentil-Persentil atau P-PPlots yang distandarisasi (F.F. Gan, Kennet J. Koehler and John C. Thompsons; 1991). Sebagaiaplikasi digunakan data tentang kekuatan tarik benang jenis Cotton Ne. 21’s produksi PT WistexBandung.
Models for Transformation: A Global Optimization Transformation method with Some Extension from Box-Cox Transformation Wan Muhamad Amir Bin W Ahmad; Nyi Nyi Naing; Tengku Mohd Ariff Raja Hussein
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.987

Abstract

The choice of a transformation has often been made in an ad hoc trial-and-error fashion but in thisresearch paper we deals with the new solution of transformation which is covering all the real numbers.The assumption of normality that gained from the optimization method is much better improvedcompared to Box-Cox transformation through the statistical P value. The biggest values of thestatistical P value (> 0.05) reflect the goodness of the normality achievement. In order to obtain theefficiency status, we will illustrate the application of transformation method with the data that aregetting from Hospital University Science Malaysia (HUSM).
Nonlinear Least Squares (NLS) Tracer Model Siti Rahmawati; Sutawanir Darwis
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.992

Abstract

Tracer test is used to study possible temperature decline and cooling of production well during longtermre-injection through studying connection between injection and production well. Tracer testinvolve injecting a chemical tracer into a hydrological system and monitoring it’s recovery throughtime. Concentration tracer in production well is nonlinear model. Nonlinear Least Squares Method isproposed to estimate the tracer parameter, i.e. average fluid velocity in the channel and dispersioncoefficient, by using simulation data tracer concentration from production wells AH-4bis, AH-19, andAH-22 in Ahuacapan, Elsavador. The results of estimation are used for predicting thermalbreakthrough and cooling production well during long term re-injection.
OPTION VALUATION WITH MATHEMATICA Ong Yih Ying; Anton Abdulbasah Kamil; Mohamad Faisal Abdul Karim
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.988

Abstract

Studies in option pricing have became more important and challenging in financial area becauseoption valuation can add significant information to the decision making process. In this study weattempt to establish the American and European call option. Call option gives the buyer the right, butnot the obligation to buy a specified stock at a predetermined price on or before a predetermined date.An American option may be exercised earlier before the expiration date. For European options, earlyexercise is not possible. It can only be exercised only at maturity. In this paper, we do mathematicalexperiments to solve the problem of financial valuation using Mathematica.
Pemeriksaan Ketepatan Fungsi Hubung dalam Analisis Data Biner Nusar Hajarisman
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.993

Abstract

Dalam pemodelan data biner atau binomial ada sejumlah cara dimana model dugaan tidak layak.Yang paling penting dari semua itu adalah komponen sistematik linear dari model tidak dinyatakandengan tepat. Sebagai contoh misalnya model tidak menyertakan suatu variabel penjelas yangmemang seharusnya berada di dalam model, atau mungkin satu atau dua variabel penjelas perluditransformasi sebelumnya. Kedua, transformasi dari peluang respons yang digunakan mungkintidak tepat; misalnya mungkin saja bahwa transformasi dari peluang respons yang telah digunakanadalah transformasi logistik padahal seharusnya menggunakan transformasi log-log komplementer.Ketiga, data mungkin berisi suatu data pencilan yang mengakibatkan data tidak cocok terhadapmodel dugaan. Teknik yang digunakan untuk memeriksa kelayakan model ini disebut juga sebagaiproses diagnosa. Pada makalah ini pembahasan akan lebih difokuskan pada pemeriksaan ketepatanfungsi hubung dalam pemodelan data biner.
Model Pengganda Uang untuk Menentukan Jumlah Uang Beredar di Indonesia Menggunakan Model ARIMA Komponen Teti Sofia Yanti
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.989

Abstract

Sasaran akhir kebijakan moneter adalah menjaga keseimbangan makro ekonomi, hal ini dilakukanagar dapat dicapai laju inflasi yang rendah, laju pertumbuhan ekonomi yang tinggi dan neracapembayaran yang seimbang. Untuk mencapai sasaran akhir tersebut, diperlukan sasaran antara.Salah satu sasaran antara yang digunakan dalam kebijakan moneter adalah mengendalikan jumlahuang beredar dengan cara mengendalikan uang primer oleh otoritas moneter. Dengan mengganggappengganda uang nilainya cukup stabil maka Bank Sentral dapat mengendalikan jumlah uangberedar. Oleh sebab itu menentukan model peramalan pengganda uang sangatlah penting. Denganmenggunakan data bulanan mulai Januari 2001-Mei 2008 ditentukan model pengganda uang sempitdan luas menggunakan model ARIMA Komponen.
Confidence Bands for Survivor Function of Two Parameters Exponential Distribution under Double Type-II Censoring with Bootstrap Percentile Akhmad Fauzy
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 9, No 1 (2009)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v9i1.994

Abstract

This paper describes existing methods and develops new methods for constructing confidence bandsfor survivor function of two parameters exponential distribution under double type-II censoring. Ourresults are built on extensions of previous work by [11] and Balakrishnan [1]. They use maximumlikelihood estimator to construct interval estimation under double type-II censoring. The confidencebands are developed for survivor function using the confidence region about survivor function. We willuse another method, known as the bootstrap percentile from [4]. This method gives shorterconfidence bands compared to the traditional method.

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