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Journal articles on the topic 'Auto correlation tests'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Rafi, Mehdi Hasan, and Golam Mostafa. "Time Series Models for Radiated Electromagnetic Energy of Lightning Strokes Detected by World Wide Lightning Location Network." Journal of Physics: Conference Series 2471, no. 1 (2023): 012024. http://dx.doi.org/10.1088/1742-6596/2471/1/012024.

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Abstract Lightning is a significant atmospheric event and has a wide-ranging influence on the Earth’s climate. Recently a sensor station of World Wide Lightning Location Network (WWLLN) is hosted at Dhaka (23.81°N, 90.41°E) and one year (Jan 2021 to Dec 2021) lightning strokes energy data is investigated. In an effort to switch the analysis from descriptive to predictive, WWLLN lightning strokes energy data is modeled using time series analysis. The autoregressive integrated moving average (ARIMA) model has been applied to predict the data. According to the process of model selection, the auto

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Fu, Rong, Jizi Deng, Shang Yuan, Lu Gong, Jun Sun, and Zonghong Shao. "The Auto-Antibodies on Bone Marrow Cells in the Patients with Systemic Lupus Erythematosus." Blood 108, no. 11 (2006): 3856. http://dx.doi.org/10.1182/blood.v108.11.3856.3856.

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Abstract Objective:To explore the pathogenesis of cytopenia in the patients with systemic lupus erythematosus (SLE), the auto-antibodies on bone marrow mononuclear cells (BMMBC) in the patients with SLE were determined. Methods:Twenty one patients with SLE and ten healthy controls were enrolled in this study. BMMNC Coombs test was used to determine the aotoantibodies. The correlation between the types of auto-antibodies on BMMNC, the types of serum auto-antibodies and the counts of blood cells in the patients with SLE were also investigated. Results:Positive results of BMMBC-Coombs test were s

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Wang, Xisen. "White Noise Tests on the LSTM Model Trained with Double Pendulum." Journal of Physics: Conference Series 2137, no. 1 (2021): 012032. http://dx.doi.org/10.1088/1742-6596/2137/1/012032.

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Abstract This paper describes the intrinsic qualities of a simple double pendulum (DP), with a visual representation, a rigorous deduction of the Lagrangian equation, and a concrete factor analysis. LSTM model was utilized to simulate the double pendulum’s periodic and chaotic behaviors and evaluates the effectiveness of the model. The auto-correlation coefficients was calculated. Meanwhile, Box-Pierce test and Ljung-Box tests for various state-dependent time series were conducted to give various initial conditions to explore the DP system’s random characteristics. The research results are as

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Malahaeva, Svetlana, and Roman Potapov. "Aggressivness and Autoagressivness in the Web Text: Content Analysis of Pages in the Social Network «VKontakte»." Theoretical and Practical Issues of Journalism 7, no. 4 (2018): 724–40. http://dx.doi.org/10.17150/2308-6203.2018.7(4).724-740.

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The authors make a supposition that any social network is an array of texts that can be formally analyzed. Relying on the ideas of cultural-historical psychology, the authors consider the text as a model that is used to cognize the world and with the help of which higher mental functions are formed. The network text is analyzed as a semiotic system. The authors have created categories of the content analysis of pages in the social network VKontakte. These categories help to assess a persons aggressiveness and auto-aggressiveness. The respondents were 58 women and 63 men aged from 17 to 23. Com

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Srinivasulu, Akasam. "Validating The Assumptions of Residuals in ARIMA Model for Daily Stock Price Data By using R." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 971–78. http://dx.doi.org/10.22214/ijraset.2021.38942.

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Abstract: Identifying the past data and plannig for future is very important for every organization . Now a days Stock market playes a major role for the development of economy. For the countries economic development, stock market plays a vital role. For this modelling, forecasting is the best way to know the future stock prices based on the past stock prices data. In stock price data, forecasting of closed price plays a major role in financing economic decisions. The Arima model has developed and implemented in many applications .So the researchers utilize arima model in forecasting the close

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Spagnolo, Alessandro, Teresa Primo, Gabriele Papadia, and Antonio del Prete. "Numerical – Experimental Correlation of Sheet Hydroformed Component." Key Engineering Materials 651-653 (July 2015): 1140–45. http://dx.doi.org/10.4028/www.scientific.net/kem.651-653.1140.

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Sheet hydroforming has gained increasing interest in the automotive and aerospace industries because of its many advantages such as higher forming potentiality, good quality of the formed parts which may have complex geometry. The main advantage is that the uniform pressure can be transferred to any part of the formed blank at the same time. This paper reports numerical and experimental correlation for symmetrical hydroformed component. Experimental tests have been carried out through the hydroforming cell tooling, designed by the authors thanks to a research project, characterized by a variab

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Ni, Zejun. "Analysis of the Walt Disney Company's Stock Using the ARIMA Model." Advances in Economics, Management and Political Sciences 185, no. 1 (2025): 205–11. https://doi.org/10.54254/2754-1169/2025.lh23955.

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Nowadays, the entertainment industry, especially major companies like The Walt Disney Company, faces rapid market changes, and their stock prices are hugely influenced by global trends. Therefore, understanding and forecasting stock price movements has become crucial for investors and experts. This study uses the Auto Regressive Integrated Moving Average (ARIMA) model to analyze and forecast the stock price of the Walt Disney Company. Using daily stock data from September 2024 to March 2025, the research identifies that the original series is non-stationary and achieves stationarity after seco

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Ojha, Radhe Shyam, Vineet Kumar, and Sudesh Singh. "Impact of 5S on productivity and quality in an Indo-Japanese auto-component manufacturing company: An empirical study." E3S Web of Conferences 430 (2023): 01241. http://dx.doi.org/10.1051/e3sconf/202343001241.

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The present work probes the relationship between 5S vis-a-vis productivity and quality. 5S is an extraordinarily economical yet highly effective method of business management. Two hypotheses were formulated for testing with the random sample survey with a reliable and valid questionnaire on the targeted population. The collected data were analyzed using the statistical software SPSS Statistics V23. The statistical tests, namely, multiple correlations, regression analysis, and Pearson- Correlation analysis, were performed. The results show a strong positive correlation between productivity and

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Teixeira, Elsa M., Bruno J. Barros, Vasco M. C. Ferreira, and Noemi Frusciante. "Dissecting kinetically coupled quintessence: phenomenology and observational tests." Journal of Cosmology and Astroparticle Physics 2022, no. 11 (2022): 059. http://dx.doi.org/10.1088/1475-7516/2022/11/059.

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Abstract We investigate an interacting dark energy model which allows for the kinetic term of the scalar field to couple to dark matter via a power-law interaction. The model is characterised by scaling solutions at early times, which are of high interest to alleviate the coincidence problem, followed by a period of accelerated expansion. We discuss the phenomenology of the background evolution and of the linear scalar perturbations and we identify measurable signatures of the coupling in the dark sector on the cosmic microwave background, the lensing potential auto-correlation and the matter

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Priya, Nautiyal Shivani, Rawat Deepesh, et al. "IMPACT OF CLIMATIC VARIATION ON GROUNDWATER - A REVIEW." International Journal of Advances in Engineering & Scientific Research, Vol.4,, Issue 2, Feb-Apr-2017, (2017): 01–06. https://doi.org/10.5281/zenodo.569672.

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Worldwide climatic parameter characteristics are influenced due to Climatic variations .Investigations have been carried out by climatologists in order to find a possible relation of climate change with anthropogenic behavior by studying trends in different climatic parameters. However, the changes are not in same pattern for all the regions especially in India due to localized intensity and must be quantified locally to manage the natural resources. Temperature and Precipitation are the most important components of climatic parameter, has been widely measured as a starting point towards the a

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G., Chandana, Nitin Fal Desai, and Md Masood Ahmed Shareef. "Comparison of quality results between semi-autoanalyzer and autoanalyzer: A retrospective study conducted in a tertiary care center (Rural India)." Biomedicine 43, no. 4 (2023): 1166–72. http://dx.doi.org/10.51248/.v43i4.2996.

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Introduction and Aim: In India, the primary health centres, urban health centres and privatized small-scale laboratories use basic laboratory services like point of care testing (POCT) and quantitative results obtained from semi-auto analysers for diagnosis and treatment. Our objectives were to analyse biochemical parameters in the autoanalyzer and the semi-autoanalyzer and to compare the test performance of analysed biochemical parameters in the semi-autoanalyzer and autoanalyzer. Materials and Methods: One hundred samples (10 patient samples and 90 internal quality control values), tested fo

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Luo, Jinyang. "Utilizing the GARCH Model for Analysis and Prediction of Stock Market Trends." Advances in Economics, Management and Political Sciences 96, no. 1 (2024): 1–11. http://dx.doi.org/10.54254/2754-1169/96/2024mur0102.

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This study utilizes the Generalized Auto-regressive Conditional Heteroskedasticity (GARCH) model to analyze the Shanghai Stock Exchange Composite Index and the Shenzhen Composite Index. It computes the returns and logarithmic returns, fits the GARCH model with a student-t distribution, and calculates the standardized residuals of the stock. Tests for normality and heteroskedasticity of residuals are conducted, follows by the creation of auto-correlation and partial auto-correlation plots to aid in volatility forecasting. The findings indicate that both returns of stock distributions exhibit mu

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Priya1, Nautiyal1 Shivani, Rawat1 Deepesh, et al. "IMPACT OF CLIMATIC VARIATION ON GROUNDWATER - A REVIEW." International Journal of Advances in Engineering & Scientific Research 4, no. 2 (2017): 01–06. https://doi.org/10.5281/zenodo.10774754.

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<strong>Abstract</strong><strong>: </strong>                                Worldwide climatic parameter characteristics are influenced due to Climatic variations .Investigations have been carried out by climatologists in order to find a possible relation of climate change with anthropogenic behavior by studying trends in different climatic parameters. However, the changes are not in same pattern for all the regions especially in India due to localize

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Malla, Janak R., Walter Saurer, and Binil Aryal. "No preferred alignments of angular momentum vectors of galaxies in the SDSS supercluster S[202-001+0084]." Proceedings of the International Astronomical Union 14, S353 (2019): 259–61. http://dx.doi.org/10.1017/s1743921319008858.

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AbstractWe present spatial orientation of angular momentum vectors of 3038 galaxies in the SDSS supercluster S[202-002+0084] having mean redshift 0.084. The selection effects in the database are removed using random simulation method. The observed distributions of angular momentum vectors of galaxies are compared with expected theoretical distribution using chi-square, auto-correlation and Fourier tests. No preferred alignments of angular momentum vectors of galaxies are noticed in the supercluster S[202-001+0084], supporting hierarchy model.

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Karina, Mona, and Okta Al Fajar. "PENGARUH PROMOSI DAN PRODUK PEMBIAYAAN DANA MOBIL TERHADAP VOLUME PENJUALAN PT MNC FINANCE." KOMPLEKSITAS : JURNAL ILMIAH MANAJEMEN, ORGANISASI DAN BISNIS 13, no. 2 (2024): 42–52. https://doi.org/10.56486/kompleksitas.vol13no2.650.

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Marketing management plays an active role in increasing sales volumes through the variables that influence it, including products and promotions. The purpose of this research is to find out the impact of the products and promotions of Dana Mobil on sales volume as well as whether the products and promotions of Dana Mobil simultaneously influence the sales volume of the MNC Finance. This research is descriptive quantitative research. Research is done by looking for primary data through a questionnaire. The data collected was then processed with statistical analysis using validity tests, realism

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Bianchini, Federico, and Andrea Lapi. "Cross-correlation between cosmological and astrophysical datasets: the Planck and Herschel case." Proceedings of the International Astronomical Union 10, S306 (2014): 202–5. http://dx.doi.org/10.1017/s1743921314013647.

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AbstractWe present the first measurement of the correlation between the map of the CMB lensing potential derived from the Planck nominal mission data and z ≳ 1.5 galaxies detected by Herschel-ATLAS (H-ATLAS) survey covering about 550 deg2. We detect the cross-power spectrum with a significance of ∼ 8.5σ, ruling out the absence of correlation at 9σ. We check detection with a number of null tests. The amplitude of cross-correlation and the galaxy bias are estimated using joint analysis of the cross-power spectrum and the galaxy survey auto-spectrum, which allows to break degeneracy between these

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Dharmendra, H. Viroja. "Study of Dynamic Linkage between Stock Market and Crude Oil." International Journal of Trend in Scientific Research and Development 1, no. 1 (2016): 51–55. https://doi.org/10.31142/ijtsrd102.

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The variable and complicated relation between monetary factors pulled in the scientists, strategy creators and businessmen. Here the paper is endeavor to identify the complex connection between stock returns and oil cost. These factors have seen noteworthy changes after some amount of period and consequently. Here day by day information from April 2007 to November 2016 which is 2,852 information on month to month premise is selected. Utilizing systems of time arrangement the review tries to catch correlation between factors by using VAR and combination strategy. In this review two models are g

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Journal, Baghdad Science. "Generating a Strong Key for a Stream Cipher Systems Based on Permutation Networks." Baghdad Science Journal 4, no. 3 (2007): 501–4. http://dx.doi.org/10.21123/bsj.4.3.501-504.

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The choice of binary Pseudonoise (PN) sequences with specific properties, having long period high complexity, randomness, minimum cross and auto- correlation which are essential for some communication systems. In this research a nonlinear PN generator is introduced . It consists of a combination of basic components like Linear Feedback Shift Register (LFSR), ?-element which is a type of RxR crossbar switches. The period and complexity of a sequence which are generated by the proposed generator are computed and the randomness properties of these sequences are measured by well-known randomness t

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Malla, Janak Ratna, and Binil Aryal. "Isotropy in Spatial Orientation of Galaxies in the SDSS CGG 23005 having Redshift 0.11<Z≤0.12." NUTA Journal 11, no. 1-2 (2024): 20–26. https://doi.org/10.3126/nutaj.v11i1-2.77016.

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We studied the Spatial orientations of 1015 SDSS galaxies in the SDSS CGG 23005 using 7th data release. Our main goal is to examine the non-random effect and to study spatial orientation of galaxies in the SDSS CGG 23005, of three different scenarios ('hierarchy model', 'primordial vorticity theory', and 'pancake model') using Godlowski theory. To check for anisotropy or isotropy we used three statistical tests: Chi-square, Auto-correlation, and the Fourier test. By analyzing the result evolution of galaxies in the SDSSCGG 23005 supports the "hierarchy model"( Peebles 1969).

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Khalidin, Bismi, and Raja Masbar. "Interest Rate and Financing of Islamic Banks in Indonesia (A Vector Auto Regression Approach)." International Journal of Economics and Finance 9, no. 7 (2017): 154. http://dx.doi.org/10.5539/ijef.v9n7p154.

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Not only do commercial banks but also Islamic banks take part towards the economic growth and stability in Indonesia. Islamic banks through the financing services provide sources of fund for investment activities. However, Islamic banks do not employ variable of interest rate in financing activities because it is prohibited in Islam. The banks utilize a profit sharing rate (PSR) system instead. Moreover, the banks must avoid themselves from the influence of interest rate directly or indirectly. This paper aims at exploring the existence of interest rate towards the financing of the Indonesian

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Baral, Madhab Prasad. "Auto-regressive Distributed Lag Model on Climate Change Impact on Outmigration in Nepal." Prithvi Academic Journal 8 (May 27, 2025): 13–30. https://doi.org/10.3126/paj.v8i1.78889.

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Climate change exacerbates Nepal's exposure to environmental hazards like landslides, floods, and droughts, which degrade agricultural productivity and drive forced displacement, particularly from rural areas to cities and overseas. This study investigates the interplay of climatic variables (maximum/minimum temperatures, rainfall) and economic indicators (paddy yield, GDP per capita) on human outmigration from 1993 to 2021. Employing time-series analyses, including augmented Dickey-Fuller tests for stationarity, correlation matrices, autoregressive distributed lag (ARDL) models, and error cor

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Yoo, Jesung, Hoon Huh, Jaeyoung Lim, and Taehwa Lee. "Tensile properties of CFRP manufactured by resin transfer molding considering stacking sequences at various strain rates." Journal of Composite Materials 53, no. 14 (2019): 2015–30. http://dx.doi.org/10.1177/0021998318816441.

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This paper is concerned with the improvement of a tensile test method and the material properties of carbon fiber reinforced polymer manufactured by resin transfer molding considering stacking sequences at various strain rates for auto-body. Auto-body structure experiences the strain rates up to several hundreds per second during car crash. In order to apply the carbon fiber reinforced polymer panel into auto-body structures, it is critical to acquire the material properties of carbon fiber reinforced polymer at various strain rates considering stacking sequences. The tensile test method is im

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Zhang, Shibin, Chuhan Zhou, and Yanran Liu. "Consumer Purchasing Intentions and Marketing Segmentation of Remanufactured New-Energy Auto Parts in China." Mathematical Problems in Engineering 2020 (July 2, 2020): 1–8. http://dx.doi.org/10.1155/2020/5647383.

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This study tests and verifies the main factors influencing consumers’ intention to purchase and the marketing strategy of remanufactured new-energy automobile parts in China. The revised model of Theory of Reasoned Action is used to study the factors influencing consumers’ intention to purchase. The main factors influencing consumer purchase intention of remanufactured new-energy automobile parts in China are identified through correlation analysis of factors including subjective norms, attitudes, face consciousness, brand extension, and perceived risk. Through market segmentation, consumers i

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Wulan Widia Astutik, Suhesti Ningsih, and Sri Laksmi Pardanawati. "PENGARUH MODAL USAHA, LOKASI USAHA, TEKNOLOGI INFORMASI, DAN LAMA USAHA TERHADAP PENDAPATAN USAHA MIKRO, KECIL, DAN MENENGAH (UMKM) DI KABUPATEN BOYOLALI." Jurnal Ilmiah Manajemen dan Akuntansi 1, no. 4 (2024): 33–47. https://doi.org/10.69714/17v18797.

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This study aims to determine the effect of business capital, business location, information technology, and length of business on the income of micro, small and medium enterprises (MSMEs) in Boyolali Regency. This study used a quantitative type of research. The data in this study is primary data. Data collection was carried out by distributing questionnaires to MSME actors in Boyolali Regency. The population in this study is MSME actors in 22 sub-districts in Boyolali Regency. The number of samples was calculated using the slovin formula with the results of 100 respondents. The data obtained i

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Yadav, Shiv Narayan, Binil Aryal, and Walter Saurer. "Position Angle Distribution of Galaxies in 35 Cluster." Himalayan Physics 4 (December 22, 2013): 1–9. http://dx.doi.org/10.3126/hj.v4i0.9417.

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We worked on POSSII and ESO films and measured the diameters and position angles of 5 688 galaxies in 34 clusters using 25-fold magnification microscope. The position angle distributions of galaxies in the clusters are studied. For this, chi-square, auto-correlation and the Fourier tests are carried out. The preferred position angle distribution of galaxies in the cluster is found to be independent of the mean radial velocity of the cluster. Possible explanations of the result will be discussed.The Himalayan Physics Vol. 4, No. 4, 2013 Page: 1-9 Uploaded date: 12/22/2013

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Ahmed, Fakrul. "Assessment of Capital Market Efficiency in COVID-19." European Journal of Business and Management Research 6, no. 3 (2021): 42–46. http://dx.doi.org/10.24018/ejbmr.2021.6.3.839.

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The study tries to focus on the efficiency of the capital market through investigating the randomness of return series of Dhaka Stock Exchange of Bangladesh. Due to COVID-19 pandemic the worldwide capital market faces higher volatility than before. The study finds the week form of efficiency level of Bangladesh capital market. Special focus on Run test, Auto correlation test, predictability of tock return using ARIMA model the weekend effect anomaly and momentum strategy investing. The study found that the hypothesis of randomness of the stock returns are rejected for stock price index changes

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Asih, Heningdia Pastika, and Abdul Rohim Tualeka. "The Relationship of Individual Characteristics, Benzene Concentration with DNA Degeneration in Car Painting Workshop Workers." Media Gizi Kesmas 11, no. 2 (2022): 416–25. http://dx.doi.org/10.20473/mgk.v11i2.2022.416-425.

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Background: A car paint shop is one of the works that use paint as the main working material containing benzene. Benzene is a colorless liquid aromatic compound that is carcinogenic to humans. This compound is classified as a group 1 human carcinogen by the IARC (International Agency for Research on Cancer). Objectives: This study aimed to analyze the correlation between individual characteristics and workplace benzene concentrations with DNA degeneration of workers in an automotive paint shop in Kalijudan, Surabaya. Methods: This study is an observational study with a cross-sectio

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Krishnan, S., A. G. Markowitz, A. Schwarzenberg-Czerny, and M. J. Middleton. "Detection of periodic signals in AGN red noise light curves: empirical tests on the Auto-Correlation Function and Phase Dispersion Minimization." Monthly Notices of the Royal Astronomical Society 508, no. 3 (2021): 3975–94. http://dx.doi.org/10.1093/mnras/stab2839.

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ABSTRACT Active galactic nucleus (AGN) emission is dominated by stochastic, aperiodic variability which overwhelms any periodic/quasi-periodic signal (QPO) if one is present. The Auto-Correlation Function (ACF) and Phase Dispersion Minimization (PDM) techniques have been used previously to claim detections of QPOs in AGN light curves. In this paper, we perform Monte Carlo simulations to empirically test QPO detection feasibility in the presence of red noise. Given the community’s access to large data bases of monitoring light curves via large-area monitoring programmes, our goal is to provide

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Hasani, Ramin, Guodong Wang, and Radu Grosu. "A Machine Learning Suite for Machine Components’ Health-Monitoring." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9472–77. http://dx.doi.org/10.1609/aaai.v33i01.33019472.

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This paper studies an intelligent technique for the healthmonitoring and prognostics of common rotary machine components, with regards to bearings in particular. During a run-to-failure experiment, rich unsupervised features from vibration sensory data are extracted by a trained sparse autoencoder. Then, the correlation of the initial samples (presumably healthy), along with the successive samples, are calculated and passed through a moving-average filter. The normalized output which is referred to as the auto-encoder correlation based (AEC) rate, determines an informative attribute of the sys

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Cheng, Zhonghua, and Xiai Shi. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?" International Journal of Environmental Research and Public Health 15, no. 10 (2018): 2291. http://dx.doi.org/10.3390/ijerph15102291.

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How to improve the industrial total-factor carbon emission performance (TCPI), or total-factor carbon productivity, through industrial structural adjustment, is crucial to China’s energy conservation and emission reduction and sustainable growth. In this paper, we use a dynamic spatial panel model to empirically analyze the effect of industrial structural adjustment on TCPI of 30 provinces in China from 2000 to 2015. The results show that most of the provinces with high TCPI are located in the eastern coastal areas, while the provinces with relatively low TCPI are to be found in the central an

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Mai, Zhaoming, Yang Liu, Chenglong Tang, and Zuohua Huang. "Experimental Investigation on Auto-Ignition Characteristics of Kerosene Spray Flames." Machines 10, no. 8 (2022): 601. http://dx.doi.org/10.3390/machines10080601.

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To facilitate the better use of RP-3 kerosene in compression ignition engines, the auto-ignition behaviors of RP-3 kerosene spray were experimentally investigated in an optical rapid compression machine. Results show that most of the tests have good ignitability and combustion performance. For all the successful ignited cases, the flame kernel was found to be formed before the steep rise of pressure, which explained that image-based ignition delay time is always shorter than the pressure-based ignition delay time. The effects of ambient environment, injection pressure, and injection delay time

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Burger, Philippe. "The South African business cycle: what has changed?" South African Journal of Economic and Management Sciences 13, no. 1 (2011): 26–49. http://dx.doi.org/10.4102/sajems.v13i1.197.

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This paper identifies the basic empirical characteristics and changes of the South African business cycle since 1960. As such, the paper examines changes in volatility as well as the co-movement between several national account variables and real GDP. To examine the co-movements the paper follows Kydland and Prescott, Gavin and Kydland as well as Bergman, Bordo and Jonung and uses correlation coefficients and Granger causality tests. Following Ramos, the paper extends the results of the Granger causality tests using variance decomposition analysis in the context of a VAR (vector auto regressio

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Giustolisi, Orazio. "Input–output dynamic neural networks simulating inflow–outflow phenomena in an urban hydrological basin." Journal of Hydroinformatics 2, no. 4 (2000): 269–79. http://dx.doi.org/10.2166/hydro.2000.0024.

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In this paper neural networks have been studied as a tool to realise a single-input single-output nonlinear dynamic system simulating rainfall-runoff transformation in a urban hydrological basin. The aim is to test the performance, in simulation and real time forecasting, of these models when compared to single-input single-output linear dynamic systems with a stochastic process as forecasting component. For this reason, the impulse unit hydrograph, the transfer function of the deterministic component of such linear models, and the stochastic process have been calculated by means of the experi

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Lee, Kang-Cheon, Sang-Yeob Kim, Hyun Gug Cho, Dong-Sik Yu, and Byeong-Yeon Moon. "Correlation between the Two Tests and Changes in Measured Values According to Accommodative Stimulation and Fogging in the Subjective and Auto-Refraction." Journal of Korean Ophthalmic Optics Society 22, no. 2 (2017): 175–82. http://dx.doi.org/10.14479/jkoos.2017.22.2.175.

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Blain, Gabriel C., and Monica C. Meschiatti. "Using multi-parameters distributions to assess the probability of occurrence of extreme rainfall data." Revista Brasileira de Engenharia Agrícola e Ambiental 18, no. 3 (2014): 307–13. http://dx.doi.org/10.1590/s1415-43662014000300010.

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Soil erosion, soil saturation and floods are frequently associated with extreme rainfall events. Thus, the scientific literature agrees on the need to carry out studies that improve the assessment of the probability of occurrence of extreme rainfall values. The main goal of this study was to compare the performance of the multi-parameters distributions Wakeby, Kappa and Generalized Extreme Value in fitting the annual maximums of daily, 2-day and 3-day rainfall amounts obtained from the weather station of Campinas, located in the State of São Paulo, Brazil (1890-2012). As a secondary aim, the p

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Obinne, Ugwuanyi Georgina, Efanga Udeme Okon, and Okanya Ogochukwu Chinelo. "Monetary Policy Transmission Paths and Money Supply in Sub-Saharan Africa: Evidence from Nigeria and Ghana." International Journal of Business Management and Finance Research 4, no. 2 (2021): 55–74. http://dx.doi.org/10.53935/26415313.v4i2.187.

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The main objective of this study gears towards evaluating monetary policy transmission paths and money supply in Sub- Saharan Africa: evidence from Nigeria and Ghana from1981- 2018. The Central Bank of Nigeria, Bank of Ghana and World Bank, World Development Indicator of 2018 furnished us with the data used for analysis. This study explored three different monetary policy transmission channels: interest rate, credit and asset pricing transmission channels and these variables were regressed on money supply in both countries using Auto Regressive Distributed Lag (ARDL) Model estimation technique

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Husnain, Muhammad Ali, Ping Guo, and Guoqin Pan. "The Dynamic Relationship between Political Instability, FDI, and Economic Growth in Pakistan: A Time-Series Study." Scholars Journal of Economics, Business and Management 10, no. 11 (2023): 278–88. http://dx.doi.org/10.36347/sjebm.2023.v10i11.002.

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This study analyzes the relationship between economic growth, corruption, terrorism, rule of law, and foreign direct investment in Pakistan using time series data for the period of 2000-2020. In order to examine the correlation between these variables, the research utilizes various methods such as descriptive statistics, unit-root tests, auto-regressive tests, and a GARCH (1,1) model which includes explanatory variables in the mean equation. The results indicate that rule of law and foreign direct investment have a positive and significant impact. The study suggests that institutional quality

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Zhang, Hao, Kristine Pankow, and William Stephenson. "A Bayesian Monte Carlo inversion of spatial auto-correlation (SPAC) for near-surface Vs structure applied to both broad-band and geophone data." Geophysical Journal International 217, no. 3 (2019): 2056–70. http://dx.doi.org/10.1093/gji/ggz136.

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SUMMARY We propose a new Bayesian method to reveal the Vs structure of the near surface of the earth using spatial autocorrelation (SPAC) functions and apply this new method to synthetic, broad-band and geophone data sets. The principle of SPAC is introduced, and an implementation of the Bayesian Monte Carlo inversion (BMCI) for modelling SPAC coherency functions is described. To demonstrate its effectiveness, BMCI is applied to synthetic tests, data from 14 SPAC array sites in the Salt Lake Valley (SLV), Utah, and two arrays (one broad-band and one geophone) located in south central Utah. The

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Malla, Janak Ratna. "Spatial Orientation of Galaxies in the SDSS DR7 Supercluster." Academia Research Journal 3, no. 1 (2024): 138–47. http://dx.doi.org/10.3126/academia.v3i1.61267.

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Spatial orientations of spin vectors 1423 galaxies in the SDSS DR7 Supercluster S[239+016+0037] was studied. The database of these galaxies is taken from the SDSS DR7 data release. Our main goal is to find out the angular momentum vectors of galaxies in the Supercluster S[239+016+0037]. Random simulation method is used to remove selection effects from the database. Finally, three statistics to compare the differences between theoretical and observed distributions: chi-square, auto-correlation, and the Fourier test. All these statistical tests suggest the random orientation of galaxies in the S

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Farronato, Marco, Giuseppe Baselli, Benedetta Baldini, Gianfranco Favia, and Gianluca Martino Tartaglia. "3D Cephalometric Normality Range: Auto Contractive Maps (ACM) Analysis in Selected Caucasian Skeletal Class I Age Groups." Bioengineering 9, no. 5 (2022): 216. http://dx.doi.org/10.3390/bioengineering9050216.

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The objective of this paper is to define normal values of a novel 3D cephalometric analysis and to define the links through an artificial neural network (ANN). Methods: One hundred and fifteen CBCTs of Class I young patients, distributed among gender-adjusted developmental groups, were selected. Three operators identified 18 cephalometric landmarks from which 36 measurements were obtained. The repeatability was assessed through the ICC. Two-dimensional values were extracted by an automatic function, and the mean value and standard deviation were compared by paired Student’s t-tests. Correlatio

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Duramany-Lakkoh, Ezekiel Kalvin. "Taxation and Economic Growth Nexus: Using ARDL and BOND Testing Procedures." Journal of Applied Business, Taxation and Economics Research 4, no. 4 (2025): 697–714. https://doi.org/10.54408/jabter.v4i4.432.

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This study analyses the nexus of taxation on economic growth using ARDL and BOND procedures. Pre-estimation tests were carried out to determine homoscedasticity, serial auto correlation, multicollinearity and normality of the variables. The coefficient of determination showed that 77.37 percent of the variation in GDP is explained by in direct taxes, other taxes, interest rate and foreign direct investment. The findings further revealed that the coefficient of indirect taxes was negative and individually significant in influencing the economic growth in Sierra Leone in the short run. On the ot

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Shota, Koyama, Asai Tsuyoshi, Oshima Kensuke, Fukumoto Yoshihiro, and Kubo Hiroki. "06 Development of Indexes Derived from Lower Trunk Angular Velocity During Modify Sit-to-Stand Test in the Community Elderly." Age and Ageing 48, Supplement_4 (2019): iv1—iv2. http://dx.doi.org/10.1093/ageing/afz164.06.

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Abstract Background The sit-to-stand test (STS) is a representative motor test. In most of STS, the time taken to complete the test was used as its score, and its quality of motion has not been focused. In the present study, we measured the lower trunk angular velocity using gyro sensor during STS and computed the angular velocity-based indices (AV-index). We investigated its test-retest reliability and concurrent validity. Method Seventy-eight older people in community-dwelling were participated. Basic-health-related-information and the previous one-year fall-history were obtained by a questi

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Sarfraz, Sania, Mumtaz Ahmad, and Muhammad Husnain. "Long Run and Short Run Co movement among Oil Prices and Stock Market Liquidity: Evidence from the Emerging Equity Market of Pakistan." Sustainable Business and Society in Emerging Economies 3, no. 3 (2021): 231–41. http://dx.doi.org/10.26710/sbsee.v3i3.1913.

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Abstract: The objective of this study is to examine the long run and short run relationship between oil prices and stock market liquidity in Pakistan stock exchange. Design/Methodology/Approach: The sample spans 10 years from 2010 to 2019. We use auto-regressive distributed lag (ARDL) to examine long-term and short-term relationships between oil prices, exchange rate, stock market index, market volatility and inflation and stock market liquidity. We use normality checks, serial correlation tests, heteroscedasticity tests, and CUSM models to assess model stability. Findings: Result

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D. B., Ewubare, Momodu A. A., and Adiele L. J. "Agricultural Output and Insecurity in Nigeria." International Journal of Research and Innovation in Social Science VIII, no. VII (2024): 324–32. http://dx.doi.org/10.47772/ijriss.2024.807027.

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The study investigated the effect of insecurity on Agricultural output in Nigeria from 1990-2022. Secondary data obtained from Central Bank of Nigeria statistical bulletin of 2021 was used for the study. The main analytical techniques used were the unit root tests, con- integration and error correction mechanism. The outcome of the unit root tests revealed that all the series are all stationery at I (I). This necessitated the use of error correction mechanism (ECM) for data estimation. Normality test, auto correlation test, serial correlation test and heteroskedasticity test were also carried

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Oriakpono, Anderson, Abdullahi Habib, and Balarabe Ladan. "Framework for Examining the Correlation Between Trade Liberalization and Employment in Nigeria." Economics 13, no. 2 (2024): 32–47. http://dx.doi.org/10.11648/j.eco.20241302.11.

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This research examines the relationship between trade liberalization and employment in Nigeria using a retrospective research approach. The study considers variables such as the employment rate, trade openness index, foreign direct investment, and currency exchange rate. The analytical framework combines classical linear regression and Auto Regressive Distributed Lag (ARDL) models to capture both short-term and long-term dynamics. Diagnostic tests, including descriptive statistics, Augmented Dickey-Fuller (ADF) test, Perron Unit Root Test, ARDL-Bound test, and Error Correction Model (ECM)-ARDL

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Kim, Joshua, Noah Sailer, Mathew S. Madhavacheril, et al. "The Atacama Cosmology Telescope DR6 and DESI: structure formation over cosmic time with a measurement of the cross-correlation of CMB lensing and luminous red galaxies." Journal of Cosmology and Astroparticle Physics 2024, no. 12 (2024): 022. https://doi.org/10.1088/1475-7516/2024/12/022.

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Abstract We present a high-significance cross-correlation of CMB lensing maps from the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) with luminous red galaxies (LRGs) from the Dark Energy Spectroscopic Instrument (DESI) Legacy Survey spectroscopically calibrated by DESI. We detect this cross-correlation at a significance of 38σ; combining our measurement with the Planck Public Release 4 (PR4) lensing map, we detect the cross-correlation at 50σ. Fitting this jointly with the galaxy auto-correlation power spectrum to break the galaxy bias degeneracy with σ 8, we perform a tomographic an

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Molina-Viedma, Ángel, Elías López-Alba, Luis Felipe-Sesé, and Francisco Díaz. "Full-Field Operational Modal Analysis of an Aircraft Composite Panel from the Dynamic Response in Multi-Impact Test." Sensors 21, no. 5 (2021): 1602. http://dx.doi.org/10.3390/s21051602.

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Experimental characterization and validation of skin components in aircraft entails multiple evaluations (structural, aerodynamic, acoustic, etc.) and expensive campaigns. They require different rigs and equipment to perform the necessary tests. Two of the main dynamic characterizations include the energy absorption under impact forcing and the identification of modal parameters through the vibration response under any broadband excitation, which also includes impacts. This work exploits the response of a stiffened aircraft composite panel submitted to a multi-impact excitation, which is inten

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Narayan, Parab, and Y. V. Reddy. "Exploring the Causal Relationship Between Stock Returns, Volume, and Turnover across Sectoral Indices in Indian Stock Market." Metamorphosis: A Journal of Management Research 16, no. 2 (2017): 122–40. http://dx.doi.org/10.1177/0972622517730140.

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The traditional saying “Market Discounts Everything” is applicable to stock returns, trading volume, and turnover as well. The present study is an analytical attempt to examine the causal relationship between stock returns, trading volume, and turnover across 10 sectoral indices of National Stock Exchange (NSE) for the period 2006–2016. To critically examine this relation, the study uses various statistical techniques such as descriptive statistics, correlation analysis, regression analysis, and econometric tests such as Granger causality test and augmented Dickey–Fuller test. The required ana

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Qi, Guangzhi, Yi Miao, Fucong Xie, Chao Teng, Chengxin Wang, and Zhibao Wang. "Synergistic Evolution of PM2.5 and O3 Concentrations: Evidence from Environmental Kuznets Curve Tests in the Yellow River Basin." Sustainability 16, no. 11 (2024): 4744. http://dx.doi.org/10.3390/su16114744.

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Air pollution, especially the synergistic pollution of PM2.5 and O3, poses a severe threat to human life and production. The synergistic formation mechanism of PM2.5 and O3 pollution is relatively confirmed, while research on their spatiotemporal synergy is urgent. Based on remotely sensed interpretation data from 90 cities in the Yellow River Basin, we analyzed the synergistic evolution of PM2.5 and O3 concentrations during 2013–2020. Combined with the environmental Kuznets curve, we performed factor analysis using a panel regression model. The synergistic evolution pattern shows a gradual de

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Feng, Ji, Jiashuang Huang, Chang Guo, and Zhenquan Shi. "MSA-GCN: Multistage Spatio-Temporal Aggregation Graph Convolutional Networks for Traffic Flow Prediction." Mathematics 12, no. 21 (2024): 3338. http://dx.doi.org/10.3390/math12213338.

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Timely and accurate traffic flow prediction is crucial for stabilizing road conditions, reducing environmental pollution, and mitigating economic losses. While current graph convolution methods have achieved certain results, they do not fully leverage the true advantages of graph convolution. There is still room for improvement in simultaneously addressing multi-graph convolution, optimizing graphs, and simulating road conditions. Based on this, this paper proposes MSA-GCN: Multistage Spatio-Temporal Aggregation Graph Convolutional Networks for Traffic Flow Prediction. This method overcomes th

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