Time series modeling

This study focuses on developing a machine learning model through the process of analyzing. comparing, and evaluating the performance of five models: AdaBoost, Decision Tree, RandomForest, ExtraTree, and BernoulliNB. All models are implemented using the "Predict Student Dropout Dataset." Based on the results obtained after processing the data, the study will conduct an analysis based on two main criteria: evaluation by average percentage, standard deviation, and final outcomes, as well as evaluation using a time-series model of age (Balanced Accuracy Progression).

16p visarada 28-04-2025 0 0   Download

The paper conducts an empirical investigation to examine whether there is a linkage between financial development and income disparity or not. Final results withdrawn from the ARDL model, which is employed to deal with Vietnam’s national-level time series data from 1992 to 2021, reveal that the influence of financial development on income inequality depends on the specific measure used to capture its multidimensional aspects.

18p vimaito 11-04-2025 0 0   Download

The fuzzy time series model has become a research topic attracting attention because of its practical value in the field of time series forecasting, specifically, it is useful for time series with small observations or the one of strong fluctuations. This paper introduces a fuzzy time series model based on hedge algebra with a new formula for calculating forecasting values.

9p viengfa 28-10-2024 2 1   Download

Time series analysis is an essential field in data analysis, particularly within forecasting and prediction domains. Researching and building time series models play a crucial role in understanding and predicting the temporal dynamics of various phenomena. In mathematics, time series data is defined as data points indexed in chronological order and have a consistent time interval between consecutive observations.

10p vibenya 31-12-2024 5 2   Download

Modern civilization is heavily dependent on energy, which burdens the energy sector. Therefore, a highly accurate energy consumption forecast is essential to provide valuable information for efficient energy distribution and storage. This study proposed a hybrid deep learning model, called I-CNN-JS, by incorporating a jellyfish search (JS) algorithm into an ImageNetwinning convolutional neural network (I-CNN) to predict weekahead energy consumption.

6p vibenya 31-12-2024 7 2   Download

The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

5p longtimenosee09 08-04-2024 15 2   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 13 4   Download

The rationale for this study is that the social enterprise sector provides an important locale in which to situate research that aims to identify the impact of ICTs on development. Recognising the complex dynamics and range of actors involved in this diverse and emerging area of development practice, this study chooses to focus on the social enterprise sector. It is specifically concerned with mapping the external influences, use and impact of ICT on social enterprises in Cambodia.

228p runthenight04 02-02-2023 23 3   Download

Finance is considered as the lifeblood of the economy and it is integral to a country's economic growth and stability. However, this perception has been called into question, particularly following the global financial crisis, giving rise to new research questions. For example, does too much finance harm economic growth? And does the financial sector serve society's economic and social needs? This thesis aims to provide cross-sectional and time-series evidence on the macroeconomic consequences of financialisation in an international context.

262p runthenight04 02-02-2023 21 2   Download

This dissertation is composed of two parts, an integrative essay and a set of published papers. The essay and the collection of papers are placed in the context of development and application of time series econometric models in a temporal-axis from 1970s through 2005, with particular focus in the Marketing discipline. The main aim of the integrative essay is on modelling the effects of marketing actions on performance variables, such as sales and market share in competitive markets.

7p runthenight04 02-02-2023 11 1   Download

The central objective of the thesis "An economic analysis of the Australian Baby Bonus" is to examine the nature of the fertility response of Australian families to the financial incentive of the Baby Bonus. The efficacy of the policy in determining a change in both fertility and the timing of births is assessed by exploring the time series properties of national and Victorian fertility measures, while controlling for other possible determinants of fertility choice.

150p runthenight04 02-02-2023 19 2   Download

This study aims at investigating the impact of globalization on CO2 emission in Vietnam. Empirical analysis is performed by employing autoregressed distributed lag approach on time series data for the period of 1990 to 2016.

14p tohitohi 22-05-2020 28 1   Download

Thesis with the aim of focusing on two main issues. The first is time series modeling by states in which each state is a deterministic probability distribution (normal distribution). Based on the experimental results to assess the suitability of the model. Second, combine Markov chains and fuzzy time series into new models to improve forecast accuracy. Expand the model with high-level Markov chains to be compatible with seasonal data.

27p xacxuoc4321 11-07-2019 38 2   Download

Chapter 16 - Times series forecasting and index numbers. This chapter includes contents: Time series components and models, time series regression, multiplicative decomposition, simple exponential smoothing, Holt-Winter’s Models, the Box Jenkins methodology (optional advanced section), forecast error comparisons, index numbers.

14p whocare_b 05-09-2016 42 2   Download

This thesis examines empirically whether there is a link between education and economic growth in Chile during the period 1973-2005. This is done through the adoption of time-series analysis and co-integration techniques. Based on economic theory and empirical findings, potential implications for Chilean educational policy are then discussed.

58p pechi1412 25-11-2015 71 7   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Underwater Noise Modeling and Direction-Finding Based on Heteroscedastic Time Series

10p dauphong20 10-03-2012 41 4   Download