Univariate Analysis Research Papers - Academia.edu (original) (raw)

Seiring dengan semakin diminatinya minuman wine, banyak negara yang mendukung pertumbuhan industri minuman ini. Sertifikasi guna meyakinkan konsumen akan kualitas dan untuk mencegah pemalsuan terhadap produk anggur juga diperlukan. Sehingga diperlukan penilaian kualitas anggur, di mana variabel yang masuk dalam penelitian ini adalah tingkat keasaman (pH), alkohol, dan sulfat. Dalam penelitian ini, akan dibahas mengenai pre-processing pada data penilaian kualitas anggur Portugis "Vinho Verde" di tahun 2009, untuk mendeteksi adanya missing value dan data outlier. Setelah dideteksi, ditemukan terdapat missing data yang kemudian diatasi dengan teknik imputasi listwise dan pairwise. Dalam proses pre-processing, data terdeteksi oleh boxplot dan Mahalanobis distance bahwa mengandung outlier, sehingga diputuskan untuk menghapus data tersebut. Setelah mengatasi kedua hal tersebut, peneliti melanjutkan menguji asumsi normalitas dari data yang diuji secara univariat menggunakan Kolmogorov-Smirnov dan Liliefors. Dan untuk pengujian normalitas secara multivariat digunakan uji QQ-Plot dan Saphiro-Wilk.

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- Multivariate Analysis, Outlier detection, Kolmogorov-Smirnov test, Univariate Analysis
- by Shashwat Mishra
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- Statistics, Univariate Analysis

This paper presents results from analyzes on Bronze Age settlement in Sarcidano territory (southeastern Sardinia, Italy). Analyzes aimed to define the role of every site in the spatial organization were held by univariate and mul-tivariate statistics from variables regarding slope, visibility and viability obtained in a SIG support. A complex territorial organization, with a dense occupation and strict control from strategic positions, has been defined mainly in relation to routes and farming areas.

- by Federico Porcedda and +3
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- Landscape Archaeology, Archaeological GIS, Landscape, Multivariate Analysis

Des fouilles récentes sur deux gisements moustériens de plein air du nord de la France ont mis au jour plusieurs niveaux d’occupation bien conservés où des activités de taille ont été conduites au sein de postes de débitage clairement délimités. Le débitage du silex, d’origine locale, était totalement orienté vers la production d’éclats préférentiels selon un schéma Levallois linéal. En confrontant les données fournies par différentes approches (analyse technologique, remontages, analyse spatiale, tracéologie) nous avons tenté d’identifier les produits finis répondant aux exigences des utilisateurs. Une analyse statistique portant sur la quasi-totalité des produits finis, soit 127 éclats préférentiels, a montré que les critères de sélection des pièces produites à des fins d’usage de boucherie se limitaient essentiellement au choix des éclats préférentiels présentant un profil longitudinal strictement rectiligne. La production, bien que fortement normalisée, admettait une certaine va...

- by luc vallin and +1
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- Functional Analysis, Spatial Analysis, Multivariate Analysis, Economy
- by Sameer Khan
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- Nursing, Surgery, Fracture, Treatment
- by STEPHEN OWUSU-ANSAH
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- Auditing, New Zealand, Regression Analysis, Statistical Significance
- by John D. Morris
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- Marketing, Psychology, Cognitive Science, Multivariate Statistics
- by Dedi Rosadi
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- Computer Science, Time Series, Foreign Exchange Market, Forecasting
- by Mohd Taib
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- Instrumentation, Human Body, Diseases, Patient Monitoring
- by Khusnul Fitri Hamidah
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- Incidence Geometry, Medicine, Logistic Regression, Drug

This study aimed to develop a valid and reliable measurement tool for mobbing
among educators. The sub-scales include aggressive acts that can trigger mobbing,
causes of mobbing, and coping strategies against mobbing. The sample for the study
were teachers (n=596) and school administrators (n=381) from public elementary
schools and teachers (n=593) and school administrators (n=272) from private
elementary schools. Data was gathered using the ‘mobbing questionnaire’ that was
specifically developed to determine the factor structure of the scale by applying
exploratory factor analysis and confirmatory factor analysis. For reliability of the scale,
Cronbach Alfa coefficients of the sub-scales were calculated. Results reveal that the
mobbing scale is valid and reliable. The analysis of its application provides empirical
insights into how educators can be mobbed in the Turkish educational system. The
results indicate that female educators were mobbed more than their male counterparts.

- by BOGDAN GABRIEL MOINESCU
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- Multivariate Analysis, Credit Risk, ROC Curve, Univariate Analysis
- by Oscar Melo
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- Optimization, Second Order, Growth curves, Optimality Condition

Aims Apocrine carcinoma of the breast (APO) expresses HER2 in 30-50% of cases. This study explored the clinicopathological features and outcome of HER2+ APO (HER2+/APO) and matched HER2-positive invasive carcinomas of no special type (HER2+/NST). Methods We used the SEER database to explore the HER2+/APO and HER2+/NST cohorts. Univariate and multivariate analyses were used to assess the breast cancer-specific (BCSS) and overall survival (OS). Based on ER and PR [=HR] and HER2 status, we divided the cohorts to match the intrinsic molecular subtypes for comparisons [Apocrine Luminal B (HER2+/HR+/APO) vs. NST Luminal B (HER2+/HR+/NST) and Apocrine HER2-Enriched (HER2+/HR-/APO) vs. NST HER2-Enriched (HER2+/HR-/NST)]. Results We retrieved 259 cases of HER2+/APO with an active follow-up among the 446,806 breast malignancies (frequency ~0.06%). Most HER2+/APO were HR negative (65%). HER2+/APO carcinomas were more prevalent in the 80+ age group (24.7% vs. 15.7%, p<0.001). HER2+/HR-/APO h...

- by Faruk Skenderi
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- Oncology, Breast Cancer, Medicine, Multivariate Analysis

Abstract—Foreign exchange market is one of the most complex dynamic market with high volatility, non linear and irregularity. As the globalization spread to the world, exchange rates forecasting become more important and complicated. Many external factors influence its volatility. To forecast the exchange rates, those external variables can be used and usually chosen based on the correlation to the predicted variable. A new second correlation method to improve forecasting accuracy is proposed. The second correlation is used to choose the external variable with different time interval. The proposed method is tested using six major monthly exchange rates with Nonlinear Autoregressive with eXogenous input (NARX) compared with Nonlinear Autoregressive (NAR) for model benchmarking. We evaluated the forecasting accuracy of proposed method is increasing by 16.8 % compared to univariate NAR model and slight better than linear correlation on average for Dstat parameter and gives almost no im...

- by Agus Sihabuddin
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- Computer Science, Time Series, Foreign Exchange Market, Forecasting
- by Peter Oyelere
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- Business, Auditing, New Zealand, Regression Analysis
- by Arianna Coniglio
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- Multivariate Analysis, Univariate Analysis

For bivariate current status data with univariate monitoring times, the identifiable part of the joint distribution is three univariate cumulative distribution functions, namely the two marginal distributions and the bivariate cumulative distribution function evaluated on the diagonal. We show that smooth functionals of these univariate cumulative distribution functions can be efficiently estimated with easily computed nonparametric maximum likelihood estimators based

- by Jennifer Lei
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- Mathematics, Econometrics, Statistics, Multivariate Statistics

Background Since the first case of COVID-19 in Sudan was reported in March 2020, the Federal Ministry of Health adopted an active surveillance system to collect and analyze information from the isolation centers and public and private laboratories about all suspected and confirmed COVID-19 cases. This study used the surveillance data to better understand the distribution and determinants of COVID-19 in Sudan and to construct a threshold level beyond which the dramatic surge may occur. Methods Data of suspected and confirmed COVID-19 cases were extracted from the line list prepared by the Surveillance and Information Department at the Federal Ministry of Health after obtaining ethical approval from the National Ethics Committee. Data were cleaned, coded, and analyzed using SPSS version 21. Frequencies and proportions were used to describe data. A univariate logistic regression analysis was used to determine the association of variables with the positivity of COVID-19. Variables with ...

- by Mohamed Abdalla
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- Demography, Medicine, Logistic Regression, Christian Ministry
- by Yoosoon Chang
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- Regression, Adaptive, Cointegration, Instrumental Variable
- by Umesh Agarwal
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- Materials Engineering, Raman Spectroscopy, Cellulose, X Rays

- by Bertrand Masson
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- Functional Analysis, Spatial Analysis, Multivariate Analysis, Economy

Corona virus Disease, a disease which was discovered in December, 2019 has been spreading worldwide like wildfire. In view of this, there is need of continuous findings on the impact, consequence and possible medications of the pandemic in Nigeria and the world at large. Therefore, this research is aimed at Analyzing the spread of Coronavirus pandemic in Nigeria, using univariate and multivariate models namely;(ARIMA) and (ARIMAX). The daily data used in this research was obtained from the NCDC official website dated from 19th April, 2020 to 20th April, 2021 with total of 384 observations using R and Eview10 software for the analysis. Three different variables were examined. The variables are; total confirmed, discharged and death cases for the purpose of establishing reliable forecast, for better decision making and a helping technique for drastic action in reducing the day to day spread of the pandemic. Summary statistics and stationary test were checked with the data being statio...

Purpose: To evaluate radiomics features in order to: differentiate malignant versus benign lesions; predict low versus moderate and high grading; identify positive or negative hormone receptors; and discriminate positive versus negative human epidermal growth factor receptor 2 related to breast cancer. Methods: A total of 182 patients with known breast lesions and that underwent Contrast-Enhanced Mammography were enrolled in this retrospective study. The reference standard was pathology (118 malignant lesions and 64 benign lesions). A total of 837 textural metrics were extracted by manually segmenting the region of interest from both craniocaudally (CC) and mediolateral oblique (MLO) views. Non-parametric Wilcoxon–Mann–Whitney test, receiver operating characteristic, logistic regression and tree-based machine learning algorithms were used. The Adaptive Synthetic Sampling balancing approach was used and a feature selection process was implemented. Results: In univariate analysis, the...

- by Vincenza Granata
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- Artificial Intelligence, Breast Cancer, Logistic Regression, Cancers
- by Dimitrios Thomakos
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- Mathematics, Econometrics, Multivariate Statistics, Time Series

Financial and economic time series forecasting has never been an easy task due to its sensibility to political, economic and social factors. For this reason, people who invest in financial markets and currency exchange are usually looking for robust models that can ensure them to maximize their profile and minimize their losses as much as possible. Fortunately, recently, various studies have speculated that a special type of Artificial Neural Networks (ANNs) called Recurrent Neural Networks (RNNs) could improve the predictive accuracy of the behavior of the financial data over time. This paper aims to forecast: (i) the closing price of eight stock market indexes; and (ii) the closing price of six currency exchange rates related to the USD, using the RNNs model and its variants: the Long Short-Term Memory (LSTM) and the Gated Recurrent Unit (GRU). The results show that the GRU gives the overall best results, especially for the univariate out-of-sample forecasting for the currency exc...

- by Berthine Nyunga Mpinda and +1
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- Computer Science, Entropy, Recurrent Neural Network, Mathematical Sciences
- by João Eduardo Silva Pereira
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- Engineering, Earth Sciences, Algorithms, Magnetic field
- by Gianluca Cubadda
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- Economics, Econometrics, Multivariate Statistics, Financial Econometrics

- by Eric Depiereux
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- Paleobiology, Mathematics, Functional Analysis, Archaeology

Underlining the importance of teachers for the constructivist approach, the present study attempts to develop “Attitude Scale of Constructivist Approach for Science Teachers (ASCAST)”. The pre-applications of the scale were administered to a total of 210 science teachers; however, the data obtained from 5 teachers were excluded from the analysis. As a result of the analysis of the data obtained from the pre-applications, it was found that the scale could have a single factor structure, which was tested using the confirmatory factor analysis. As a result of the initial confirmatory factor analysis, the values of fit were examined and found to be low. Subsequently, by examining the modification indices, error covariance was added between items 23 and 24 and the model was tested once again. The added error covariance led to a significant improvement in the model, producing values of fit suitable for limit values. Thus, it was concluded that the scale could be employed with a single fac...

- by Ali Gunay Balim
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- Science, Multivariate, Advanced Statistical Analsis, EFA and CFA)

Background and aims: Pelvic organ prolapse (POP) is a common condition which affects on a large proportion of women. The objective of this study was to determine the risk factors of POP in Iranian women. Methods: This cross-sectional study was carried out to examine the role of demographic, anthropometric and clinical characteristics in POP disease in a sample of 365 females in Ilam, Iran. Examinations were performed according to Pelvic Organ Prolapse Quantification (POPQ) technique in dorsal lithotomic position. Then, the sample divided into two groups as with and without prolapse. Then, unilabiate and multivariate analyses were performed. Results: Totally, 365 women participated in this study. The prevalence of POP was 80.8%. Univariate logistic regression analysis showed a significant differences between groups with and without POP based on age, maximum birth weight, BMI, pregnancy, delivery mode, delivery operative and delivery position. But after multivariate analysis, the most...

- by Zeinab Ghazanfari
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- Multivariate Analysis, Univariate Analysis
- by Oulo Alla N'Nan
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- Agriculture, Multivariate Analysis, Subgroups, Univariate Analysis
- by Abou KOUASSI
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- Agriculture, Multivariate Analysis, Subgroups, Univariate Analysis
- by Oscar Melo
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- Optimization, Second Order, Growth curves, Optimality Condition

En este artículo se propone una metodología de modelamiento conjunto de tratamientos con niveles cuantitativos medidos en el tiempo, a través de la combinación de las metodologías de superficie de respuesta y curvas de crecimiento. Se realiza la estimación de los parámetros del modelo propuesto, los cuales miden el efecto de los factores asociados al modelo de superficie de respuesta de segundo orden a lo largo del tiempo. Se plantea y juzga las diferentes hipótesis de interés y, finalmente, con el modelo ajustado se encuentran las condiciones de optimización de un conjunto de tratamientos a través del tiempo. Por último, se presenta una aplicación, analizada mediante curvas de crecimiento por Kshirsagar & Boyce (1995).

- by Oscar Melo
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- Optimization, Second Order, Growth curves, Optimality Condition
- by Shih-Chieh Kao
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- Copulas, Multidisciplinary, Probability, Models
- by Tetsuo Takanami
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- Algorithms, Statistics, Methodology, Algorithm
- by Susan R McGurk
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- Schizophrenia, Vocational Rehabilitation, Employment, Executive Function
- by Ali Montazeri
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- Multivariate Analysis, Univariate Analysis