7 research outputs found
The Application of Fisher Scoring Algorithm on Parameter Estimation of Normal Distributed Data
No full textIn statistics, parameter estimation is the estimation of a population using sample data. A population data certainly has a certain distribution. Fisher Scoring is a form of Newton's method which is commonly used in solving the maximum likelihood equation. The focus of this research is to estimate distributed data using the fisher scoring algorith
Estimasi Parameter Data Berdistribusi Normal Menggunakan Maksimum Likelihood Berdasarkan Newton Raphson
No full textEstimasi parameter adalah praktik umum dalam statistik. Maximum Likelihood adalah metode estimasi parameter berdasarkan pendekatan distribusi dengan cara memaksimalkan fungsi likelihood. Mean, deviasi standar, proporsi dan lain-lain merupakan perkiraan nilai parameter dengan menggunakan data atau sampel yang dapat diambil dari populasi tersebut. Algoritma Newton Raphson adalah prosedur iteratif yang digunakan untuk menyelesaikan persamaan non-linier. Fokus makalah ini adalah mengestimasi parameter data yang berdistribusi normal menggunakan Maximum Likelihood berdasarkan algoritma iterasi Newton Raphson dengan program matlab
Analisis Jaringan Kerja dengan Metode Critical Path Method (CPM) dan Model Program Linier
No full textNetwork analysis is part of a project that requires time for each network activity. To produce a particular project there is more than one job/event that must be done. Each job/event is interconnected and placed in order according to the management of its implementation. In network projects, it is necessary to plan and supervise systematically, in order to obtain work efficiency. The network is represented in symbols and arrows. In this study, the problem-solving network analysis was solved using the CPM (Critical Path Method) method and with a linear programming model using the help of excel-solver and Lingo. This study aims to compare the two methods in solving network analysis problems. Based on the analysis, it is found that by using the CPM method, more critical paths are obtained than the linear programming method. With the increasing number of critical paths obtained, it is hoped that the management can determine project priorities to maintain the project schedule to be completed on time
Maksimum Likelihood Berdasarkan Algoritma Newton Raphson, Fisher Scoring dan Expectation Maximization
No full textEstimation of parameters is important in statistics. Estimation of parameters
can be done with several methods, one of them is with Maximum Likelihood
method. The focus of this generalization is estimates the parameter value of a certain
distributed data with Maximum Likelihood based on the iteration algorithm.
The iteration algorithm to be used are Newton Raphson algorithm, Fisher Scoring
and Expectation Maximization and with the help of Matlab 2016a program. In
this case the three algorithms will be compared to the estimation results and the
number of iterations of the three algorithms. From the results obtained that of the
third algorithm, Newton Raphson algorithm has a relative number of iterations
larger than the other two algorithms to check the value of that parameter same.Estimasi parameter merupakan hal yang penting dalam statistika. Estimasi
parameter dapat dilakukan dengan beberapa metode, salah satu diantaranya
adalah dengan metode Maximum Likelihood. Fokus dari penuisan ini secara
umum adalah mengestimasi nilai parameter suatu data berdistribusi tertentu
dengan Maximum Likelihood berdasarkan algoritma iterasi. Algoritma iterasi
yang akan digunakan adalah algoritma Newton Raphson, Fisher Scoring dan
Expectation Maximization dan dengan bantuan program Matlab 2016a. Dalam
hal ini ketiga algoritma tersebut akan dibandingkan denga memperhatikan hasil
estimasi dan jumlah iterasi dari ketiga algoritma tersebut. Berdasarkan hasil
yang diperoleh bahwa dari ketiga algoritma tersebut algoritma Newton Raphson
memiliki jumlah iterasi yang relatif lebih besar daripada kedua algoritma lainnya
untuk mencaai nilai parameter yang sama.Tesis Magiste
Estimasi Parameter Regresi Linier Sederhana Menggunakan Prosedur Cochrane-Orcutt, Hildreth-Lu dan First Differences Pada Metode Durbin Watson
No full textThis study aims to examine the problem of autocorrelation, simple regression analysis with errors following the form of first-order autoregressive, Durbin Watson method using the Cochrane-Orcutt, Hildreth-Lu procedures and first differences in overcoming autocorrelation. The occurrence of autocorrelation causes the alleged regression parameter with ordinary least square (OLS) not to produce the actual value. Therefore, to obtain the actual parameters applied Durbin watson method with all three procedures. Based on the data used in this thesis quoted from the book Applied Linear Statistical Models Fifth Edition, the best procedure is given by Hildreth-Lu because it produces the smallest mean square error (MSE) value. This is because, the process of estimating the autocorrelation coefficient is based on iterations until a minimum sum square error (SSE) value is found
Visual aids for support teachers in learning
No full textLearning media in general is a tool for teaching and learning. Everything that can be used to stimulate the thoughts, feelings, attention and abilities or skills of students so as to encourage the learning process. This limitation is quite broad and includes the understanding of resources, environment, people and methods used for learning / training purposes. Barriers to the use of teaching aids in supporting student interest in learning, obstacles include: conditioning students' attention to learning with teaching aids, teacher learning methods that tend to be less varied so that students are less enthusiastic in learning if the teacher is monotonous, the teaching aids available in schools are incomplete, making teaching aids in accordance with the material and student input is difficult, the minimum time to prepare learning with teaching aids
Comparison the adsorption of Pb with Ecofriendly Bio-Adsorbent From Rice Husk Ash and Boiler Fly Ash
No full textThe amount of environmental pollution is in line with the increasing of industry. Industry can generate waste in the form of solid, liquid or gas. Utilization of waste as an adsorbent is a solution that can be done in dealing with waste such as metal waste contained in water. Therefore, this research aims to make a bio-adsorbent in the form of silica from rice husk ash and boiler fly ash and know the comparison of the Pb absorbed. The research method used is an experimental method by synthesizing the manufacture of silica. Then testing of Pb based on contact time was 30 minutes, 60 minutes, 90 minutes and 120 minutes. The results showed that the two silica-based bio-adsorbents could adsorb Pb. Bio-adsorbent from rice husk ash absorbed 56.51% of Pb in 30 minutes, 52.93% in 60 minutes, 48.65% in 90 minutes and 43.55% in 120 minutes. The bio-adsorbent from the fly ash boiler absorbed 50.15% of Pb in 30 minutes, 44.28% in 60 minutes, 38.48% in 90 minutes and 36.45% in 120 minutes. Bio-adsorbent from rice husk ash absorbs more Pb ions than from boiler fly ash. Because the silica in the rice husk ash forms a collection in the pores, whereas in the fly ash boiler there is silica that is spread out. This research can be a basis for further research in the form of dye bio-adsorbent products based on their short use time
