scholarly journals Stochastic scenario generation: An empirical approach

2018 ◽  
Author(s):  
A. D. Oliveira ◽  
T. P. Filomena
Keyword(s):  
Monte Carlo ◽  
Stochastic Optimization ◽  
Random Sampling ◽  
Sampling Method ◽  
Empirical Approach ◽  
Scenario Tree ◽  
Scenario Generation ◽  
Distinctive Features

We briefly discuss the differences among several methods to generate a scenario tree for stochastic optimization. First, the Monte Carlo Random sampling is presented, followed by the Fitting of the First Two Moments sampling, and lastly the Michaud sampling. Literature results are reviewed, taking into account distinctive features of each kind of methodology. According to the literature results, it is fundamental to consider the problem’s unique characteristics to make the more appropriate choice on sampling method.  

scholarly journals A random-sampling method as an efficient alternative to variational Monte Carlo for solving Gutzwiller wavefunctions

2021 ◽  
Author(s):  
Feng Zhang ◽  
Zhuo Ye ◽  
Yong-Xin Yao ◽  
Cai-Zhuang Wang ◽  
Kai-Ming Ho
Keyword(s):  
Monte Carlo ◽  
Random Sampling ◽  
Sampling Method ◽  
Expectation Values ◽  
Variational Monte Carlo ◽  
Hubbard Models ◽  
Efficient Alternative ◽  
Variational Monte Carlo Method ◽  
Non Local ◽  
Physical Quantities

Abstract We present a random-sampling (RS) method for evaluating expectation values of physical quantities using the variational approach. We demonstrate that the RS method is computationally more efficient than the variational Monte Carlo method using the Gutzwiller wavefunctions applied on single-band Hubbard models as an example. Non-local constraints can also been easily implemented in the current scheme that capture the essential physics in the limit of strong on-site repulsion. In addition, we extend the RS method to study the antiferromagnetic states with multiple variational parameters for 1D and 2D Hubbard models.

A Probabilistic Optimal Power Flow Calculation Method with Latin Hypercube Sampling

2014 ◽  
Vol 918 ◽  
pp. 183-190
Author(s):  
Jin Quan Zhao ◽  
Chen Lu Zhang ◽  
Wei Hua Luo ◽  
Jun Zhao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Random Sampling ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Sampling Method ◽  
Latin Hypercube Sampling ◽  
Latin Hypercube ◽  
Optimal Power ◽  
Accurate Performance

Among the solving methods of probabilistic optimal power flow (P-OPF), Monte Carlo Simulation (MCS) combined with random sampling (RS) is widely used due to its high accuracy. In order to further improve that, this paper proposes a way of using Monte Carlo Simulation with Latin hypercube sampling (LHS) to calculate the consumption of generating cost under many random variables. Numerical results of IEEE 14-bus and IEEE 118-bus systems show that the Latin hypercube sampling method provides more accurate performance in dealing with POPF under the condition of a smaller sample size, comparing with random sampling method. Thus the Latin hypercube sampling method can replace the MCS with random sampling as the benchmark method of other algorithms.

Faktor-Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Program Studi Kebidanan STIKES Muhammadiyah Ciamis Tahun 2016

2018 ◽  
Vol 5 (1) ◽  
pp. 69-82
Author(s):  
Evi Mariana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Marketing Mix ◽  
Stratified Random Sampling ◽  
Price Promotion ◽  
F Test ◽  
Physical Evidence

The purpose of this study was to analyze the factors that influence the decisionof the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis and analyze the factors that most influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis. Collecting data in this study was conducted using a survey by questionnaire to 114 students by stratified random sampling method. Methods of data analysis using multiple linear regression, F test and test T. The result is a marketing mix that significantly is the product, place, and physical evidence. And that does not affect the marketing mix is price, promotion, place, and processes

BANKACILIKTA MÜŞTERİ İLİŞKİLERİ YÖNETİMİNİN MÜŞTERİ SADAKATİNE ETKİSİ

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Fikret GÜMÜŞBUĞA
Keyword(s):  
Customer Loyalty ◽  
Random Sampling ◽  
Management System ◽  
Care Management ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Face To Face ◽  
Descriptive Research ◽  
Customer Care ◽  
Research Type

This study mainly focuses on customer care management and customer loyalty. Even though there are many experiential studies about customer care management and customer loyalty system, the lack of studies on customers in Karabük and Safranbolu locally, has leaded to focus on this study. Thus, this study mainly focuses on the influence of customer care treatments of banks in Karabük and Safranbolu on customer loyalty. Descriptive research type was used in the study. In this study simple random sampling method was used which is one of the probability sampling method, face to face surwey to all 726 participants was used for the study. As the result of the experiential study, the attendance and influence of customer care management and loyalty systems have been comparatively low, but it has been figured out that customer care management system influences customer loyalty level.

A Scale Development Approach To Employees’ Perspective Of Knowledge Management In Banks

2019 ◽  
Vol 118 (7) ◽  
pp. 82-94
Author(s):  
DR.C. KATHIRAVAN ◽  
DR.M. MANIVANNAN ◽  
E.CHANDRA MOULI ◽  
A. RAJASEKAR
Keyword(s):  
Knowledge Management ◽  
Random Sampling ◽  
Tamil Nadu ◽  
Sampling Method ◽  
Sampling Technique ◽  
Technology Knowledge ◽  
Interview Method ◽  
Development Approach ◽  
Chennai City ◽  
Future Topics

The data were collected using personal interview method and a total of 455 employees who were in some aspect knowledge management in banks and identified through multistage random sampling method. Multistage random sampling technique is a probability sampling type where available study topics employ future topics from among their contacts. The study was limited to Chennai city of Tamil Nadu. The analysis found that banks employees moderately perceived towards factors of knowledge management such as knowledge utilization, information technology, knowledge motivation, knowledge storage, knowledge sharing enablers and knowledge creation. Hence, it is concluded that training program is important for the survival of knowledge management. It is also imperative for effective of employees’ job performance.

Kapasitas Adaptasi dan Resiliensi Komunitas Menghadapi Bencana Erupsi Gunung Merapi

2019 ◽  
Vol 2 (5) ◽  
pp. 617
Author(s):  
Nyimas Ayu Dillashandy ◽  
Nurmala K Panjaitan
Keyword(s):  
Adaptive Capacity ◽  
Random Sampling ◽  
Qualitative Data ◽  
Sampling Method ◽  
Sampling Technique ◽  
Community Resilience ◽  
Simple Random Sampling ◽  
Quantitative Approach ◽  
Institutional Memory ◽  
Innovative Learning

Mount Merapi eruption has occurred several times in Indonesia and the biggest eruption that last occurred in 2010. The community were suffered losses and were affected by eruptions. The purposes of this research are to analyze community resilience, to analyze the level of vulnerability, and to analize the community adaptive capacity. The research using a quantitative approach supported by qualitative data. Simple random sampling technique is used as the sampling method and the informant was taken purposively. The results of this research showed that when the eruption occurred the community has a high vulnerability. The adaptive capacity is also high with innovative learning based on institutional memory and supported by the connectedness. Communities achieve resilience and can adapt to changes with high adaptive capacity.  Keywords: adaptive capacity, community resilience, eruption, vulnerability ABSTRAK Erupsi Gunung Merapi sudah terjadi beberapa kali di Indonesia dan erupsi terbesar yang terjadi terakhir kalinya yaitu pada tahun 2010. Komunitas mengalami berbagai kerugian dan terkena dampak dari erupsi. Tujuan dari penelitian ini adalah untuk menganalisis resiliensi komunitas, menganalisis tingkat kerentanan komunitas, dan menganalisis kapasitas adaptasi komunitas. Penelitian ini dilaksanakan dengan menggunakan pendekatan kuantitatif yang didukung oleh data kualitatif. Pemilihan responden dilakukan dengan teknik sampel acak sederhana sedangkan pemilihan terhadap informan dilakukan secara sengaja. Hasil penelitian ini menunjukkan bahwa saat erupsi terjadi komunitas memiliki kerentanan yang tinggi. Kapasitas adaptasi komunitas tinggi dengan adanya innovative learning yang didasari oleh pengetahuan dan pengalaman dan didukung oleh jaringan yang dimiliki. Komunitas berhasil mencapai resiliensi dan dapat beradaptasi dengan perubahan-perubahan dengan kapasitas adaptasi yang tinggi.Kata kunci : kapasitas adaptasi, kerentanan, erupsi, resiliensi komunitas

PENGARUH NILAI PELANGGAN, INOVASI PRODUK DAN KUALITAS LAYANAN TERHADAP LOYALITAS NASABAH BANK MUAMALAT INDONESIA CABANG MADIUN

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Binti Mutafarida
Keyword(s):  
Quality Of Service ◽  
Customer Loyalty ◽  
Random Sampling ◽  
Product Innovation ◽  
Customer Value ◽  
Research Method ◽  
Sampling Method ◽  
Descriptive Research ◽  
Independent Variable

The development of sharia banking in Indonesia very rapidly grow up preceded by Bank Muamalat Indonesia and in 2013 ranked as the bank with the highest loyalty and the best among other sharia banking nationally. Bank Muamalat Indonesia branch of Madiun is one of the first branch in Madiun and currently has many competitors from other sharia banking. Based on this background, in this study take what factors affect the size of customer loyalty Bank Muamalat Indonesia branch of Madiun. Based on the result of research, it is found that the level of loyalty of customer of Bank Muamalat of Madiun branch is mostly influenced by product innovation with value of t test value obtained by t-count 2,493, while second factor is influenced by service quality with result of tcount 2,268. So the least influenced factor by the value of the customer is with value of 2.217. This research is a descriptive research method and associative / relationship, this matter to know the value of independent variable. While population of this research is funding customer of Bank Muamalat Indonesia branch of Madiun with amount of 22.196 customer by taking data using random sampling method as much as 108 customer. Keyword: Customer Value, Product Innovation AND Quality Of Service

Pengaruh Motivasi Kerja dan Budaya Kerja Terhadap Produktivitas Kerja Karyawan di Kebun Huta Padang PT. Perkebunan Nusantara III (PERSERO) Kabupaten Asahan Sumatera Utara

2020 ◽  
Vol 2 (2) ◽  
pp. 167-180
Author(s):  
Luli Achmad Gozali ◽  
Yusniar Lubis ◽  
Syaifuddin Syaifuddin
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Research Method ◽  
Sampling Method ◽  
Quantitative Approach ◽  
Stratified Random Sampling ◽  
Direct Influence ◽  
Dominant Influence

This study is aimed to determine and analyze the effect of the implementation of motivation and culture on the employees productivity at Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera. This research method uses a quantitative approach, the type of research is a survey. The sample was determined by stratified random sampling method, 95 people. The data collection through questionnaires. Data were analyzed using multiple linear regression. The results showed that partially and simultaneously, the implementation of motivation and culture had a positive and significant effect on the employess productivity at Huta padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera. The determination coefficient value of 0.882, indicates that the influence of the implementation of motivation and culture on the employess productivity of Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera is 88.2%. The culture has more dominant influence on the employees produktivity at  Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera, with a direct influence of 73,2%. 

scholarly journals Feature-Weighted Sampling for Proper Evaluation of Classification Models

2021 ◽  
Vol 11 (5) ◽  
pp. 2039
Author(s):  
Hyunseok Shin ◽  
Sejong Oh
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Classification Model ◽  
Training Set ◽  
Test Set ◽  
Feature Importance ◽  
Proper Training ◽  
Machine Learning Applications ◽  
Test Sets ◽  
The Given

In machine learning applications, classification schemes have been widely used for prediction tasks. Typically, to develop a prediction model, the given dataset is divided into training and test sets; the training set is used to build the model and the test set is used to evaluate the model. Furthermore, random sampling is traditionally used to divide datasets. The problem, however, is that the performance of the model is evaluated differently depending on how we divide the training and test sets. Therefore, in this study, we proposed an improved sampling method for the accurate evaluation of a classification model. We first generated numerous candidate cases of train/test sets using the R-value-based sampling method. We evaluated the similarity of distributions of the candidate cases with the whole dataset, and the case with the smallest distribution–difference was selected as the final train/test set. Histograms and feature importance were used to evaluate the similarity of distributions. The proposed method produces more proper training and test sets than previous sampling methods, including random and non-random sampling.

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