İstatistik ve Uygulamalı Bilimler Dergisi最新文献_第2页

Comparison of Time Series Models for Predicting Online Gaming Company Revenue 预测网络游戏公司收益的时间序列模型比较

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2022-12-15 DOI: 10.52693/jsas.1195048

Utku Can Aytaç, Tayfun Kucukyilmaz, Göneç Seçil Tarakcioğlu

{"title":"Comparison of Time Series Models for Predicting Online Gaming Company Revenue","authors":"Utku Can Aytaç, Tayfun Kucukyilmaz, Göneç Seçil Tarakcioğlu","doi":"10.52693/jsas.1195048","DOIUrl":"https://doi.org/10.52693/jsas.1195048","url":null,"abstract":"Online gaming industry is an area where the effects of any change can be seen in a very short time. Therefore, real-time analysis of revenues, analysis of the commercial performance of the developed content, and rapid monitoring of the revenue contributions of the improvements are essential. Therefore, financial forecasting is a crucial part of business plan which can help strategize how much and how quickly the company intend to grow. In financial forecasting of a given time series, revenue estimations for future will become important research in the industry. This research offers a detailed analysis of recent time series models and focused on both deep learning and statistical methods for time series forecasting on real-world revenue data. Results of the study are examined using one of the leading Finland based online gaming companies’ revenue data. In our experiments, we investigated various time series forecast techniques, such as SARIMA, Theta, Holt Winters, Prophet, Dense Neural Network (DNN), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), N-Beats and Ensemble models. The experimental evaluations illustrate that deep learning models can optimize the financial forecast operations. The result of the study provides insights to managers and analysts in determining the best model to adopt.","PeriodicalId":332708,"journal":{"name":"İstatistik ve Uygulamalı Bilimler Dergisi","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IT2 Bulanık ANP Metodolojisi Kullanılarak Beton Tesis Yeri Seçimi

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2022-06-28 DOI: 10.52693/jsas.1091307

Kemal Gökhan Nalbant, Şahika Özdemi̇r, Yavuz Özdemir

引用次数: 0

Structural Equation Modeling as a Marketing Research Tool: A Guideline for SEM Users About Critical Issues and Problematic Practices 结构方程建模作为营销研究工具:SEM用户关于关键问题和问题实践的指南

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-12-27 DOI: 10.52693/jsas.1015831

Umut Ünal

引用次数: 2

Statistical Comparison of Parallel-Line Symmetrical Microbiological Models: Analysis of Agar Diffusion Assay in 8 x 8 Large Rectangular Plates 平行线对称微生物模型的统计比较:8 × 8大矩形板琼脂扩散试验分析

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-10-24 DOI: 10.52693/jsas.989584

M. Eissa

引用次数: 1

Visualizations and Compositional Data Analysis for the European Time Use 欧洲时间使用的可视化和成分数据分析

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-10-24 DOI: 10.52693/jsas.994860

Cenk İçöz

引用次数: 0

A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model. 一类新的Kumaraswamy广义分布及其在指数模型中的应用。

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-10-06 DOI: 10.52693/jsas.979832

M. Ahmed

引用次数: 0

Doğrusal Fiziki Programlama Yaklaşımı ile Kapalı Döngü Tedarik Zinciri Optimizasyonu

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-10-06 DOI: 10.52693/jsas.947564

Gamze Öztürk, Hasan Kıvanç Aksoy

引用次数: 0

Development of Design of Experiment Optimization to Obtain High-Quality Sugar 制备优质糖的实验优化设计研究进展

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-06-28 DOI: 10.52693/jsas.908537

Yasemin AYAZ ATALAN, Abdulkadir Atalan

引用次数: 0

Makro İktisadi Göstergelerin Ekonomik Güven Üzerindeki Etkilerinin Analizi: Türkiye Örneği

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-06-23 DOI: 10.52693/jsas.932931

İbrahim Ayteki̇n, Şeyma Bozkaya

{"title":"Makro İktisadi Göstergelerin Ekonomik Güven Üzerindeki Etkilerinin Analizi: Türkiye Örneği","authors":"İbrahim Ayteki̇n, Şeyma Bozkaya","doi":"10.52693/jsas.932931","DOIUrl":"https://doi.org/10.52693/jsas.932931","url":null,"abstract":"ülkenin ekonomisinde Ekonomisinde ekonomik Abstract: The feeling of trust, which takes place in almost every stage of human life, has become an important concept for the economies of the country. The trust of local and foreign people or investors in the economic structure of a country means that things are going well in that country's economy. It is accepted that all countries that have established confidence in their economy will become more suitable for growth, investments and development. In this study, it is aimed to analyze the effects of macroeconomic indicators, which constitute the important economic dynamics of Turkey, on economic confidence. In the analysis, Turkey's monthly data between the years 2008: M1-2019: M12 were used. In the first stage of the analysis, unit root tests were applied to the variables and the stationarity levels of the variables were determined. Then, it was decided to use the ARDL model in line with the determined stationarity levels, and thus the ARDL boundary test was applied to the variables. As a result of the ARDL boundary test applied, it was determined that there is a long-term cointegration relationship between the variables. At the last stage of the analysis, the short and long term coefficients of the estimated ARDL model were calculated. As a result, while there is a negative relationship between the inflation, export and unemployment and economic confidence in the long term in Turkey; A positive relationship was found between industrial production, real exchange rate , import and economic confidence. This result shows that macroeconomic variables in Turkey have positive and negative effects on economic confidence in the long run. Therefore, what is necessary for Turkey to overcome some macroeconomic problems is to achieve stability in economic growth by establishing confidence in the economy.","PeriodicalId":332708,"journal":{"name":"İstatistik ve Uygulamalı Bilimler Dergisi","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127990396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bayesçi ANOVA(BANOVA): Ankara’da Hava Kirliliği Üzerine Bir Uygulama

İstatistik ve Uygulamalı Bilimler Dergisi Pub Date : 2021-06-04 DOI: 10.52693/jsas.940764

Serpil Aktaş Altunay

引用次数: 1