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Journal articles on the topic 'Co-skewness and co-kurtosis'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

Misra, Dheeraj, Sushma Vishnani, and Ankit Mehrotra. "Four-moment CAPM Model: Evidence from the Indian Stock Market." Journal of Emerging Market Finance 18, no. 1_suppl (2019): S137—S166. http://dx.doi.org/10.1177/0972652719831564.

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This study aims at analysing the impact of co-skewness and co-kurtosis on the returns of the Indian stocks by incorporating co-skewness and co-kurtosis in the traditional capital asset pricing model (CAPM) of Sharpe, in a three-factor model of Fama and French and in a four-factor model of Carhart. The results of the study show that co-skewness and co-kurtosis have significant impact on the returns of the Indian stock. However, the impact of co-skewness is higher than co-kurtosis. JEL Classification: G11, G12

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Oliveira, Alexandre Silva de, Luis Felipe Dias Lopes, and Eduardo Botti Abbade. "Coassimetria e cocurtose na análise dos preços das ações no mercado financeiro nacional." Revista de Administração da UFSM 3, no. 3 (2011): 326–45. http://dx.doi.org/10.5902/198346592502.

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The central issue of this research is to investigate and measuring the stock price in the brazilian financial market. It was investigate the influence of the third and fourth time in the pricing of assets, the influence of co-skewness in correlation with the proxy IBOV stocks, the influence of co-kurtosis in correlation with the proxy IBOV stocks, the influence of co-skewness and co-kurtosis in the correlation between the proxy IBOV and stocks, its performance compared with the CAPM and the increase of the accuracy. Is was developed literature research and study of time series of the stocks th

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Hasan, Md Zobaer, and Anton Abdulbasah Kamil. "Contribution of Co-Skewness and Co-Kurtosis of the Higher Moment CAPM for Finding the Technical Efficiency." Economics Research International 2014 (January 16, 2014): 1–9. http://dx.doi.org/10.1155/2014/253527.

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The objective of this paper is to present the technical efficiency of individual companies and their respective groups of Bangladesh stock market (i.e., Dhaka Stock Exchange, DSE) by using two risk factors (co-skewness and co-kurtosis) as the additional input variables in the Stochastic Frontier Analysis (SFA). The co-skewness and co-kurtosis are derived from the Higher Moment Capital Asset Pricing Model (H-CAPM). To investigate the contribution of these two factors, two types of technical efficiency are derived: (1) technical efficiency with considering co-skewness and co-kurtosis (WSK) and (

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Liow, Kim Hiang, and Lanz C. W. J. Chan. "Co‐skewness and Co‐kurtosis in Global Real Estate Securities." Journal of Property Research 22, no. 2-3 (2005): 163–203. http://dx.doi.org/10.1080/09599910500453798.

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Chaudhary, Rashmi, Dheeraj Misra, and Priti Bakhshi. "Conditional relation between return and co-moments – an empirical study for emerging Indian stock market." Investment Management and Financial Innovations 17, no. 2 (2020): 308–19. http://dx.doi.org/10.21511/imfi.17(2).2020.24.

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Due to many theoretical and practical shortcomings of the traditional CAPM model, this study aims at analyzing the CAPM with possible extensions. The analysis aims to know the empirical soundness of Conditional Higher Moment CAPM in emerging India’s capital market. The sample consists of 69 company’s daily stock price data from April 2004 to March 2019 from NSE 100. Panel data analysis is used on 21 cross-sections. The overall results show that when both up and down markets are incorporated separately, all three moments, namely, co-variance, co-skewness, and co-kurtosis, are priced during the

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Botond, Benedek, and Nagy Bálint Zsolt. "Co-skewness, co-kurtosis and their implications on asset pricing of cryptocurrencies." International Journal of Financial Markets and Derivatives 8, no. 1 (2021): 65. http://dx.doi.org/10.1504/ijfmd.2021.10036439.

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Zsolt, Nagy Bálint, and Benedek Botond. "Co-skewness, co-kurtosis and their implications on asset pricing of cryptocurrencies." International Journal of Financial Markets and Derivatives 8, no. 1 (2021): 65. http://dx.doi.org/10.1504/ijfmd.2021.113860.

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Arbia, Giuseppe, Riccardo Bramante, and Silvia Facchinetti. "Least Quartic Regression Criterion to Evaluate Systematic Risk in the Presence of Co-Skewness and Co-Kurtosis." Risks 8, no. 3 (2020): 95. http://dx.doi.org/10.3390/risks8030095.

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This article proposes a new method for the estimation of the parameters of a simple linear regression model which is based on the minimization of a quartic loss function. The aim is to extend the traditional methodology, based on the normality assumption, to also take into account higher moments and to provide a measure for situations where the phenomenon is characterized by strong non-Gaussian distribution like outliers, multimodality, skewness and kurtosis. Although the proposed method is very general, along with the description of the methodology, we examine its application to finance. In f

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Fernandes, Anderson Rocha de J., Simone Evangelista Fonseca, and Robert Aldo Iquiapaza. "Performance measurement models and their influence on net fundraising of investment funds." Revista Contabilidade & Finanças 29, no. 78 (2018): 435–51. http://dx.doi.org/10.1590/1808-057x201805330.

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ABSTRACT This article aims to analyze the relation between third- and fourth-order conditions and risk factors and their adequacy to return, performance, and net fundraising. The factors used to determine fund performance and, consequently, their relation with fundraising are: market return, size, book-to-market, profitability, investment, co-skewness, and co-kurtosis. The funds constituting the sample are those classified as Free Stocks (within the period from April 2001 to April 2015). Methodologically, this study has two phases. The first one refers to estimating the parameters that represe

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Bouri, Elie, Ladislav Kristoufek, and Nehme Azoury. "Bitcoin and S&P500: Co-movements of high-order moments in the time-frequency domain." PLOS ONE 17, no. 11 (2022): e0277924. http://dx.doi.org/10.1371/journal.pone.0277924.

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Interactions between stock and cryptocurrency markets have experienced shifts and changes in their dynamics. In this paper, we study the connection between S&P500 and Bitcoin in higher-order moments, specifically up to the fourth conditional moment, utilizing the time-scale perspective of the wavelet coherence analysis. Using data from 19 August 2011 to 14 January 2022, the results show that the co-movement between Bitcoin and S&P500 is moment-dependent and varies across time and frequency. There is very weak or even non-existent connection between the two markets before 2018. Starting

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O'Connor, Philip. "Inferring Risk Preferences Using Synthetic Win Bets in Horse Betting “Exotic” Markets." Journal of Gambling Business and Economics 2, no. 1 (2013): 1–29. http://dx.doi.org/10.5750/jgbe.v2i1.522.

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Exotic bets: exactas, trifectas and superfectas are complicated gambles that depend on the ordering of horse in a race that can be studied by converting them into “synthetic” or “virtual” win bets. Using two ways of constructing synthetic win bets, it is shown that the favorite-longshot bias is a poor description of the returns of the trifecta and superfecta synthetic win bet. Rather, consistent with financial markets, the standard deviation of the payout of the synthetic win bet better describes the different returns of synthetic win bets.It is found that the synthetic win market dislikes sta

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E. B., Udah, and Ebi Bassey. "Infrastructure, Human Capital and Industrialization in Nigeria." Nile Journal of Business and Economics 3, no. 6 (2017): 58. http://dx.doi.org/10.20321/nilejbe.v3i6.102.

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The objective of this paper had been to shed light on the importance of infrastructure and human capital on industrialization in Nigeria using time series data from 1970 to 2014. The methodology adopted in this paper was first to trace the historical background of the data using such tests as mean, minimum and maximum values, standard deviation, skewness, kurtosis and Jarque-Bera tests. Second, in order to smoothen the data and reduce white noise, the paper adopted Augmented Dickey-Fuller and Phillips-Perron tests for unit root and for co-integration, the paper used Engle-Granger two-step proc

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Chen, Chaoyue, Hongyu Zhuo, Xiawei Wei, and Xuelei Ma. "Contrast-Enhanced MRI Texture Parameters as Potential Prognostic Factors for Primary Central Nervous System Lymphoma Patients Receiving High-Dose Methotrexate-Based Chemotherapy." Contrast Media & Molecular Imaging 2019 (November 12, 2019): 1–7. http://dx.doi.org/10.1155/2019/5481491.

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Introduction. The purpose of this study was to evaluate the prognostic value of texture features on contrast-enhanced magnetic resonance imaging (MRI) for patients with primary central nervous system lymphoma (PCNSL). Methods. In this retrospective study, fifty-two patients diagnosed with PCNSL were enrolled from October 2010 to March 2017. The texture feature of tumor tissue on the histogram-based matrix (histo-) and the grey-level co-occurrence matrix (GLCM) was retrieved by contrast-enhanced T1-weighted imaging before any antitumor treatment. Receiver operating characteristic curve analyses

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Karim, Md Abdul, and Jesmin Akter. "Patterns and Differentials of Onset of Menstruation among School Girls in Chittagong Metropolitan Area of Bangladesh." Chittagong University Journal of Science 41, no. 1 (2021): 178–99. http://dx.doi.org/10.3329/cujs.v41i1.51922.

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Onset of menstruation is the biological and physical indicator, which is one of the important components of female reproductive characteristics. Considering its importance in the context of reproductive health and fertility, the aim of this study is to determine the mean age at menarche and also to investigate the patterns and differentials of such an important vital event of the randomly selected girls aged 9-15 years from the schools of Chittagong metropolitan area. The results of this study show that the overall mean menarcheal age of the selected girls is only 11.75±0.97 years with signifi

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Karim, Md Abdul, and Jesmin Akter. "Determinants of Nutritional Status among School Girls in Chittagong Metropolitan Area." Chittagong University Journal of Science 41, no. 1 (2021): 39–67. http://dx.doi.org/10.3329/cujs.v41i1.51914.

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This study aims to investigate the determinants of nutritional status (BMI) of school girls, selected randomly from the schools of Chittagong metropolitan area because good nutritional status is a prerequisite for good health, fertility and national productivity. The results of this study show that more than one-third (38.6%) school girls belong to underweight, 47.9% normal and 13.5% overweight. The overall mean BMI of the selected girls is found 20.03±4.06 kg/m2 with considerable variations by their background characteristics. The co-efficient of variation (20.27%) indicates that there exists

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Didenkulova, E. G., A. V. Slunyaev, and E. N. Pelinovsky. "NUMERICAL SIMULATION OF IRREGULAR BIMODAL WAVE SYSTEM DYNAMICS WITHIN THE FRAMEWORK OF KORTEWEG-DE VRIES EQUATION." XXII workshop of the Council of nonlinear dynamics of the Russian Academy of Sciences 47, no. 1 (2019): 38–40. http://dx.doi.org/10.29006/1564-2291.jor-2019.47(1).10.

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The dynamics of wave ensembles in shallow water is studied within the framework of the nonlinear dispersive Korteweg – de Vries (KdV) equation by numerical simulation. Bimodal wave systems whose energy is distributed over two spectral domains are considered: the “additional” lobe which corresponds to the system of longer or shorter waves is added to the “main” spectral peak. The concerned problem describes, for example, the interaction between wind waves and swell in shallow water. The case of the unimodal waves (considered in (Pelinovsky, Sergeeva, 2006) is used as the reference. The limitati

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Kheyrkhah Shali, Roya, and Seyed Kamaledin Setarehdan. "The Effective Brain Areas in Recognition of Dyslexia." International Clinical Neuroscience Journal 7, no. 3 (2020): 147–52. http://dx.doi.org/10.34172/icnj.2020.16.

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Background: The brain has four lobes consist of frontal, parietal, occipital, and temporal. Most researchers have reported that the left occipitotemporal region of the brain, which is the combined region of the occipital and temporal lobes, is less active in children with dyslexia like Sklar, Glaburda, Ashkenazi and Leisman. Methods: There are different methods and tools to investigate how the brain works, such as magnetic resonance imaging (MRI), positron emission tomography (PET), magneto-encephalography (MEG) and electroencephalography (EEG). Among these, EEG determines the electrical activ

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Miron, Mihaela, Simona Moldovanu, Bogdan Ioan Ștefănescu, Mihai Culea, Sorin Marius Pavel, and Anisia Luiza Culea-Florescu. "A New Approach in Detectability of Microcalcifications in the Placenta during Pregnancy Using Textural Features and K-Nearest Neighbors Algorithm." Journal of Imaging 8, no. 3 (2022): 81. http://dx.doi.org/10.3390/jimaging8030081.

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(1) Background: Ultrasonography is the main method used during pregnancy to assess the fetal growth, amniotic fluid, umbilical cord and placenta. The placenta’s structure suffers dynamic modifications throughout the whole pregnancy and many of these changes, in which placental microcalcifications are by far the most prominent, are related to the process of aging and maturation and have no effect on fetal wellbeing. However, when placental microcalcifications are noticed earlier during pregnancy, they could suggest a major placental dysfunction with serious consequences for the fetus and mother

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Wang, Mingwei, Ziyin Wu, Fanlin Yang, Yue Ma, Xiao Wang, and Dineng Zhao. "Multifeature Extraction and Seafloor Classification Combining LiDAR and MBES Data around Yuanzhi Island in the South China Sea." Sensors 18, no. 11 (2018): 3828. http://dx.doi.org/10.3390/s18113828.

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Airborne light detection and ranging (LiDAR) full waveforms and multibeam echo sounding (MBES) backscatter data contain rich information about seafloor features and are important data sources representing seafloor topography and geomorphology. Currently, to classify seafloor types using MBES, curve features are extracted from backscatter angle responses or grayscale, and texture features are extracted from backscatter images based on gray level co-occurrence matrix (GLCM). To classify seafloor types using LiDAR, waveform features are extracted from bottom returns. This paper comprehensively co

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Becker, Anton S., Soleen Ghafoor, Magda Marcon, et al. "MRI texture features may predict differentiation and nodal stage of cervical cancer: a pilot study." Acta Radiologica Open 6, no. 10 (2017): 205846011772957. http://dx.doi.org/10.1177/2058460117729574.

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Background Texture analysis in oncological magnetic resonance imaging (MRI) may yield surrogate markers for tumor differentiation and staging, both of which are important factors in the treatment planning for cervical cancer. Purpose To identify texture features which may predict tumor differentiation and nodal status in diffusion-weighted imaging (DWI) of cervical carcinoma Material and Methods Twenty-three patients were enrolled in this prospective, institutional review board (IRB)-approved study. Pelvic MRI was performed at 3-T including a DWI echo-planar sequence with b-values 40, 300, and

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Jin, Yinghua, Jiawei Xu, Hongshi He, et al. "The Changbai Alpine Shrub Tundra Will Be Replaced by Herbaceous Tundra under Global Climate Change." Plants 8, no. 10 (2019): 370. http://dx.doi.org/10.3390/plants8100370.

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Significant replacement of shrub species by herbaceous species has been observed in the Changbai alpine tundra zone, China, since the 1990s. This study used plot surveys to analyze variations in the spatial distribution of dominant plants and to ascertain the changing mechanisms of dominant species in the alpine tundra zone. We found that the two previously dominant shrubs, Rhododendron chrysanthum and Vaccinium uliginosum, differed markedly in their distribution characteristics. The former had the highest abundance and the lowest coefficient of variation, skewness, and kurtosis, and the latte

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Garcia-Benadi, Albert, Joan Bech, Sergi Gonzalez, Mireia Udina, Bernat Codina, and Jean-François Georgis. "Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology." Remote Sensing 12, no. 24 (2020): 4113. http://dx.doi.org/10.3390/rs12244113.

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This paper describes a methodology for processing spectral raw data from Micro Rain Radar (MRR), a K-band vertically pointing Doppler radar designed to observe precipitation profiles. The objective is to provide a set of radar integral parameters and derived variables, including a precipitation type classification. The methodology first includes an improved noise level determination, peak signal detection and Doppler dealiasing, allowing us to consider the upward movements of precipitation particles. A second step computes for each of the height bin radar moments, such as equivalent reflectivi

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Mohamed, Rania M., Bikash Panthi, Beatriz Adrada, et al. "Abstract P6-01-06: Multi-Parametric MRI-Based Radiomics Models from Tumor and Peritumoral Regions as Potential Predictors of Treatment Response to Neoadjuvant Systemic Therapy in Triple Negative Breast Cancer Patients." Cancer Research 83, no. 5_Supplement (2023): P6–01–06—P6–01–06. http://dx.doi.org/10.1158/1538-7445.sabcs22-p6-01-06.

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Abstract PURPOSE Triple negative breast cancer (TNBC) is an aggressive and heterogeneous subtype of breast cancer. Pathologic complete response (pCR) to neoadjuvant systemic therapy (NAST) predicts better survival. Early prediction of the treatment response can potentially triage non-responding patients to alternative protocol treatments, spare them of the unneeded toxicity, and improve pCR. We evaluated the ability of radiomic textural analysis of intratumoral and peritumoral regions on the dynamic contrast enhanced (DCE) and diffusion-weighted imaging (DWI) MRI images obtained early during N

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Mohamed, Rania M., Bikash Panthi, Beatriz Adrada, et al. "Abstract P6-01-35: A Pre-operative Dynamic Contrast Enhanced MRI-Based Radiomics Models as Predictors of Treatment Response after Neoadjuvant Systemic Therapy in Triple Negative Breast Cancer Patients." Cancer Research 83, no. 5_Supplement (2023): P6–01–35—P6–01–35. http://dx.doi.org/10.1158/1538-7445.sabcs22-p6-01-35.

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Abstract Background and Purpose Triple negative breast cancer (TNBC) is a biologically aggressive tumor and a refractory subtype of breast cancer due to the lack of therapeutic targets, such as estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2. In this study, we investigated the accuracy of radiomic models based on the dynamic contrast enhanced (DCE) MRI images obtained after the completion of NAST as discriminators of treatment response in TNBC patients. Materials and Methods This IRB-approved prospective study (ARTEMIS trial, NCT02276443) included 181 p

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Alberghi, S., A. Maurizi, and F. Tampieri. "Relationship between the Vertical Velocity Skewness and Kurtosis Observed during Sea-Breeze Convection." Journal of Applied Meteorology 41, no. 8 (2002): 885–89. http://dx.doi.org/10.1175/1520-0450(2002)041<0885:rbtvvs>2.0.co;2.

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El-Omari, Hussein Abdulla. "Marketing information, management and use: the case of Saudi Arabia." Journal of Islamic Marketing 10, no. 2 (2019): 653–72. http://dx.doi.org/10.1108/jima-06-2017-0071.

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Purpose Obtaining, managing and using proper marketing information are considered an important strategic issue that cannot be ignored in the light of stiffening competition locally and internationally. Therefore, the purpose of this study is to examine the level of importance attached by Saudi industrial organizations to good management and use of quality marketing information. Design/methodology/approach A questionnaire method was used to collect the required data. Using a self-distributed method, the questionnaire was provided to top management levels of 80 companies from different industria

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Ferrer Lores, Blanca, Irene Mayorga-Ruiz, Angel Alberich Bayarri, et al. "Prognostic Value of Radiomics Signature By Diagnostic 18F-FDG PET/CT Analysis in Aggressive Non-Hodgkin's Lymphoma." Blood 132, Supplement 1 (2018): 1703. http://dx.doi.org/10.1182/blood-2018-99-119851.

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Abstract BACKGROUND Although the overall prognosis of patients with aggressive non-Hodgkin's lymphoma (NHL) has improved, nearly a third of patients will have refractory disease or relapse. Identification of these high-risk patients using traditional prognostic factors is limited. PET is the recommended imaging modality for the staging of FDG-avid lymphoma but the value of a comprehensive new imaging biomarkers analysis applied to PET for the prediction of patients outcome has still not been deeply investigated. New metrics estimating the overall tumor burden such as metabolic tumor volume (MT

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Langsen, Michael Laurence, Jerry Thwin Wong, Maximilian Merz, et al. "Prediction of Malignant Cell Infiltration Patterns with Texture Features of Biopsy-Correlated Positron Emission Tomography of Osteolytic Lesions in Multiple Myeloma." Blood 138, Supplement 1 (2021): 3997. http://dx.doi.org/10.1182/blood-2021-152846.

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Abstract Introduction: Osteolytic bone disease represents a severe clinical presentation of multiple myeloma (MM), as MM cells infiltrate the bone marrow throughout the skeleton, forming tumors, activating bone-resorbing osteoclasts, and impeding bone-depositing osteoblast activity. The extent of osteolytic lesions encompassing the skeleton influences the severity of disease for patients, with severe lesions leading to skeletal-related events (SREs). MM cell infiltration into the bone marrow gradually increases with disease progression; however, the distribution of myeloma cells within the bon

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Alroy, John. "New methods for quantifying macroevolutionary patterns and processes." Paleobiology 26, no. 4 (2000): 707–33. http://dx.doi.org/10.1666/0094-8373(2000)026<0707:nmfqmp>2.0.co;2.

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This paper documents a series of methodological innovations that are relevant to macroevolutionary studies. The new methods are applied to updated faunal and body mass data sets for North American fossil mammals, documenting several key trends across the late Cretaceous and Cenozoic. The methods are (1) A maximum likelihood formulation of appearance event ordination. The reformulated criterion involves generating a maximally likely hypothesized relative ordering of first and last appearances (i.e., an age range chart). The criterion takes faunal occurrences, stratigraphic relationships, and th

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Kostakoglu, Lale, Paola Berchialla, Federico Dalmasso, et al. "A Prognostic Model Integrating PET-Derived Quantitative Parameters and Image Texture Analyses Using Radiomics in a Large Prospective Phase III Trial, GOYA." Blood 134, Supplement_1 (2019): 883. http://dx.doi.org/10.1182/blood-2019-123450.

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Introduction: Our objective was to develop a prognostic model that predicts progression-free survival (PFS) and overall survival (OS) to enable risk-adapted strategies in patients with previously untreated diffuse large B-cell lymphoma (DLBCL). We retrospectively investigated the value of quantitative image texture features (i.e. 'radiomics' evaluating tumor heterogeneity) using FDG PET/CT data sets in a large, prospective Phase III trial, GOYA (NCT01287741). Methods: In the GOYA trial, which compared obinutuzumab versus rituximab both in combination with CHOP chemotherapy, there was no signif

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Heaney, Richard A., Yihui Lan, and Sirimon Treepongkaruna. "Are Co-Skewness and Co-Kurtosis Factors Priced?" SSRN Electronic Journal, 2011. http://dx.doi.org/10.2139/ssrn.1917084.

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Liu, Zhi, Junwei Liu, and Kent Wang. "Measuring Co-Skewness and Co-Kurtosis Using Noisy High Frequency Financial Data." SSRN Electronic Journal, 2013. http://dx.doi.org/10.2139/ssrn.2277667.

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Christoffersen, Peter, Mathieu Fournier, Kris Jacobs, and Mehdi Karoui. "Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk." SSRN Electronic Journal, 2015. http://dx.doi.org/10.2139/ssrn.2656412.

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"ICA Model of Densities for Images (ICADGGDD)." International Journal of Engineering and Advanced Technology 9, no. 1 (2019): 5335–39. http://dx.doi.org/10.35940/ijeat.a2969.109119.

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In data analysis we use ICA is a basic tool, the aim is that find out a co-ordinate system where are the components of the data are independent.Mostly ICA method such as fastICA and Jointapproximation and diogonalization of eigen matrix (JADE), uses kurtosis as a metric of non gaussianity. But the assumption of kurtosis (fourth order cumulant) may not always satisfies practically. So there are one possible solution is to use skewness (third order cumulant) instead of kurtosis. In this paper we are going to introduce ICA based method, that approach is good for heavy-tailed (fourth order kurtosi

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Ajili, Souad. "Size and Book to Market Effects vs. Co-skewness and Co-kurtosis in Explaining Stock Returns." SSRN Electronic Journal, 2004. http://dx.doi.org/10.2139/ssrn.634684.

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Li, Xintong, Matthew P. Martens, and Wolfgang Wiedermann. "Conditional Direction of Dependence Modeling: Application and Implementation in SPSS." Social Science Computer Review, February 28, 2022, 089443932110731. http://dx.doi.org/10.1177/08944393211073168.

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Conditional Direction Dependence Analysis (CDDA) has recently been proposed as a statistical framework to test reverse causation ( x → y vs. y → x) and potential of confounding ( x ← c → y) of variable relations in linear models when moderation is present. Similar to standard DDA, CDDA assumes that the “true” predictor is a continuous, non-normal, exogenous variable. Under non-normality, a conditional causal effect of one variable does not only change means, variances, and covariances, but also the distributional shape (i.e., skewness, kurtosis, co-skewness, and co-kurtosis) of another variabl

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Agussationo, Yudhi, Indah Soesanti, and Warsun Najib. "Klasifikasi Citra X-Ray Diagnosis Tuberkulosis Berbasis Fitur Statistis." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 2, no. 3 (2018). http://dx.doi.org/10.29207/resti.v2i3.523.

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Tuberkulosis merupakan salah satu penyebab kematian manusia. Hasil pemeriksaan x-ray diagnosis tuberkulosis dapat dijadikan objek pada proses ekstraksi ciri yang merupakan suatu tahapan dalam mengekstrak ciri/ informasi dari objek yang terdapat pada suatu citra diagnosis tuberkulosis. Pada penelitian ini digunakan metode ekstraksi ciri citra berbasis tekstur statistis orde satu (histogram), orde kedua berbasis Gray-Level Co-occurrence Matrix (GLCM), serta Principle Component Analysis (PCA). Data penelitian diperoleh dari RS Dr. Sardjito Yogyakarta sebanyak 33 citra digital x-ray pasien diagnos

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CAN, Ali, and Hasan ÖZSOY. "A Different Perspective on Air Pollution Measurements." Journal of Polytechnic, January 30, 2023. http://dx.doi.org/10.2339/politeknik.1126580.

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This study aims to determine the air pollution in Karabük province. For this purpose, a new equipment has been designed. The equipment can measure the SO2, CO2, CO, CH4, NOX, O3, PM2.5, and VOC pollution alongside with many atmospheric parameters. The measurement period has been decided to be one year starting from June 2021. The measurement period was one year, starting from June 2021. The measurements were taken at fifty points with 8 portable intermittent equipment. Then hourly and monthly averages were calculated. The calculation of the averages depends on many statistical analyses. The me

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Vijithananda, Sahan M., Mohan L. Jayatilake, Badra Hewavithana, et al. "Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques." BioMedical Engineering OnLine 21, no. 1 (2022). http://dx.doi.org/10.1186/s12938-022-01022-6.

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Abstract Background Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demographic and texture features from MRI Apparent Diffusion Coefficient (ADC) images of human brain tumors, identifying the distribution patterns of each feature and applying Machine Learning (ML) techniques to differentiate malignant from benign brain tumors. Methods This prospective study was carried out using 1599 labeled MRI brain ADC image slices, 995

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Ghasemi, Abbas, Sangsig Yun, and Xianguo Li. "Fractal structures arising from interfacial instabilities in bio-oil atomization." Scientific Reports 11, no. 1 (2021). http://dx.doi.org/10.1038/s41598-020-80059-w.

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AbstractThe intriguing multi-scale fractal patterns ubiquitously observed in nature similarly emerge as fascinating structures in two-phase fluid flows of bio-oil breakup and atomization processes. High-resolution microscopy of the two-phase flows under 15 flow conditions (cases of different flow rates of the liquid and co-flowing air streams as well as different degrees of liquid preheating) reveal that the geometrical complexities evolve under the competing/combined action of the instability mechanisms such as Kelvin–Helmholtz, Rayleigh–Taylor and Rayleigh–Plateau leading into the transition

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Onwuegbuchulam, C. O., V. N. Nwugha, D. O. Ikoro, A. C. Ezebunanwa, and K. O. Osibe. "Determination of the Depositional Environment of Outcrop Section at Odoro Ikpe South Eastern Nigeria Using Pebble Morphometry." Journal of Geography, Environment and Earth Science International, April 25, 2019, 1–12. http://dx.doi.org/10.9734/jgeesi/2019/v21i130115.

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The depositional Environment of Odoro -Ikpe, South East Nigeria was interpreted using pebble morphometry and sieve analysis. A field observation, sieve analysis and pebble morphometric analysis was carried out on the area which comprises of conglomerate, pebbles, sand stone and intercalation of shale's and clay. The lithofacies observed are lateralitic layer, pebbly sand, alternating layers of sand and conglomerates and layers of massive sand stone. The graphic mean and skewness of the grain size analysis shows that the sediments are very coarse which indicates a high energy environment. Graph

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Korkmaz, Mustafa Ç., Christophe Chesneau, and Zehra Sedef Korkmaz. "The Unit Folded Normal Distribution: A New Unit Probability Distribution with the Estimation Procedures, Quantile Regression Modeling and Educational Attainment Applications." Journal of Reliability and Statistical Studies, April 26, 2022. http://dx.doi.org/10.13052/jrss0974-8024.15111.

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In this paper, we develop a continuous distribution on the unit interval characterized by the distribution of the absolute hyperbolic tangent transformation of a random variable following the normal distribution. The lack of research on the prospect of hyperbolic transformations providing flexible distributions on the unit interval is a motivation for the study. First, we study it theoretically and discuss its properties of interest from a modeling point of view. In particular, it is shown that the proposed distribution accommodates various levels of skewness and kurtosis. Then, some statistic

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Korkmaz, Mustafa Ç., Christophe Chesneau, and Zehra Sedef Korkmaz. "The Unit Folded Normal Distribution: A New Unit Probability Distribution with the Estimation Procedures, Quantile Regression Modeling and Educational Attainment Applications." Journal of Reliability and Statistical Studies, April 26, 2022. http://dx.doi.org/10.13052/jrss0974-8024.15111.

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In this paper, we develop a continuous distribution on the unit interval characterized by the distribution of the absolute hyperbolic tangent transformation of a random variable following the normal distribution. The lack of research on the prospect of hyperbolic transformations providing flexible distributions on the unit interval is a motivation for the study. First, we study it theoretically and discuss its properties of interest from a modeling point of view. In particular, it is shown that the proposed distribution accommodates various levels of skewness and kurtosis. Then, some statistic

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Cyril, Umeh, Okwy, Nzotta, S. M., and Chris-Ejiogu, Uzoamaka Gloria. "Effect of Fiscal Policy on Poverty in Nigeria." Account and Financial Management Journal 08, no. 02 (2023). http://dx.doi.org/10.47191/afmj/v8i2.05.

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The study investigated the effect of fiscal policy on poverty in Nigeria. The study covered 35-year period, spanning from 1986 to 2020 being a liberalized era in Nigerian economy. Fiscal policy being the explanatory variables, was disaggregated into federal government retained revenue (FRR), government capital expenditure (GCE), government recurrent expenditure (GRE),non-oil revenue (NOR), and public debt (PD). Poverty index as a dependent variable, being the unit measure for change in the poverty rate was used as proxy for poverty. Diagnostics test employed were, descriptive statistics to mea

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Ezebunanwa, A. C., J. I. Eronin, V. Okorie, E. C. Mbagwu, and Njoku Achu Uchenna. "Facies Analysis of Eocene Sediment of Umuahia Area, Southeastern Nigeria." Journal of Geography, Environment and Earth Science International, October 23, 2019, 1–22. http://dx.doi.org/10.9734/jgeesi/2019/v23i430174.

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This research work is the detailed facies analysis of the depositional environments and paleogeographic setting of the Eocene sedimentary sequence (Ameki Formations) exposed in the Umuahia area and paleoclimate during that periods. The study area was mainly concentrated around Amaudara inUmuahia South and Ekeoha in Umuahia North. And the co-ordinate are as follows,location-1 0.5°30.80N, 0.7°26.93E, location-2 0.5°30.39N, 0.7°26.62E, location-3 0.5° 32.83N, 0.7°27.24 E and location-4 0.5°32.19 N, 0.7°26.13 E. The aim of the study is to analyze the detailed sedimentary facies and describe

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Mahalingam, A., and N. Manivannan. "Interspecific Hybridization Between Vigna radiata and Vigna mungo Towards the Broadening of Genetic Base for MYMV Disease Resistance and Generating Variability." LEGUME RESEARCH - AN INTERNATIONAL JOURNAL, Of (April 10, 2021). http://dx.doi.org/10.18805/lr-4495.

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Background: The main cause for low yield in greengram is its susceptibility to Mungbean Yellow Mosaic Virus (MYMV) which is the most prevalent and destructive viral pathogen cause 85% yield lose. Inter specific hybridization between Vigna radiata and Vigna mungo could be an alternate approach to develop MYMV resistant genotypes in greengram which leads to additional source of creating variability for desirable attributes including yield, nutritional quality, biotic and abiotic stresses.Methods: The present investigation was carried out at National Pulses Research Centre (NPRC), Tamil Nadu Agri

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Cui, Jinxin, and Aktham Maghyereh. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic." Financial Innovation 8, no. 1 (2022). http://dx.doi.org/10.1186/s40854-022-00395-w.

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AbstractAnalyzing comovements and connectedness is critical for providing significant implications for crypto-portfolio risk management. However, most existing research focuses on the lower-order moment nexus (i.e. the return and volatility interactions). For the first time, this study investigates the higher-order moment comovements and risk connectedness among cryptocurrencies before and during the COVID-19 pandemic in both the time and frequency domains. We combine the realized moment measures and wavelet coherence, and the newly proposed time-varying parameter vector autoregression-based f

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