The Effects of Financial Structure on Life Expectancy (Cup-FM Approach) by Amirali Farhang

“…This method calculates the coefficient vector coefficients by estimating the parameters and the long-term covariance matrix and the factor loads in reverse. This estimator, like the FMOLS estimator, is resistant to successive autocorrelation bias and endogenous bias, and in addition, is indifferent to the meaning and anonymity of the explanatory variables.In this study, based on research experiences to investigate the effects of financial structure on life expectancy, the regression model used in Chireshe (2018) research has been modeled, so the model used in the leading research is as follows:Where LEit is life expectancy at birth, FSit is a variable of financial structure (loans to the private sector by the banking system as a percentage of GDP), Eit is energy consumption (kg equivalent of crude oil), PGDPit is GDP per capita and HEXPit  is health expenditure ( Percent of GDP). …”
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A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources by N. Theys, V. Fioletov, C. Li, C. Li, I. De Smedt, C. Lerot, C. McLinden, N. Krotkov, D. Griffin, L. Clarisse, P. Hedelt, D. Loyola, T. Wagner, V. Kumar, A. Innes, R. Ribas, F. Hendrick, J. Vlietinck, H. Brenot, M. Van Roozendael

“…The retrieval is based on a measurement error covariance matrix to fully represent the SO<span class="inline-formula">₂</span>-free radiance variability, so that the SO<span class="inline-formula">₂</span> slant column density is the only retrieved parameter of the algorithm. …”
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Sex-stratified gene-by-environment genome-wide interaction study of trauma, posttraumatic-stress, and suicidality by Frank R. Wendt, Gita A. Pathak, Daniel F. Levey, Yaira Z. Nuñez, Cassie Overstreet, Chelsea Tyrrell, Keyrun Adhikari, Flavio De Angelis, Daniel S. Tylee, Aranyak Goswami, John H. Krystal, Chadi G. Abdallah, Murray B. Stein, Henry R. Kranzler, Joel Gelernter, Renato Polimanti

“…We performed a multivariate gene-by-environment genome-wide interaction study (GEWIS) of suicidality in 123,633 individuals using a covariance matrix based on 26 environments related to traumatic experiences, posttraumatic stress, social support, and socioeconomic status. …”
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Towards adaptive sensor fusion for simultaneous localization and mapping by Rao, Akshay

“…This thesis first explores the usage of the Kalman Smoother algorithm to accurately estimate the motion model covariance matrix for the Extended Kalman Filter (EKF). …”
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No Difference in Behavioral and Self-Reported Outcomes for Simultaneous and Sequential Bilateral Cochlear Implantation: Evidence From a Multicenter Randomized Controlled Trial by Véronique J. C. Kraaijenga, Véronique J. C. Kraaijenga, Geerte G. J. Ramakers, Geerte G. J. Ramakers, Yvette E. Smulders, Yvette E. Smulders, Yvette E. Smulders, Alice van Zon, Alice van Zon, Rolien H. Free, Rolien H. Free, Johan H. M. Frijns, Johan H. M. Frijns, Wendy J. Huinck, Wendy J. Huinck, Robert J. Stokroos, Robert J. Stokroos, Wilko Grolman

“…All outcome measures were analyzed longitudinally using a linear or logistic regression analysis with an autoregressive residual covariance matrix (generalized estimating equations type).Results: Nineteen participants were randomly allocated to the simBiCI group and 19 participants to the UCI/seqBiCI group. …”
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The Impact of Electronic Human Resource Management on Corporate Intrapreneurship with the Mediating Role of Information Systems Acceptance by Saeed Bakhshi, Mohammad Javad Jamshidi, Mahdi Hosseinpour

“…Questionnaire distribution was used for data collection and the data then analyzed by AMOS based on analysis of covariance matrix using Structural Equation Modeling (SEM). …”
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Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique by Carmen Tur, Francesco Grussu, Floriana De Angelis, Ferran Prados, Baris Kanber, Alberto Calvi, Arman Eshaghi, Thalis Charalambous, Rosa Cortese, Declan T. Chard, Jeremy Chataway, Alan J. Thompson, Olga Ciccarelli, Claudia A.M. Gandini Wheeler-Kingshott

“…In SPACE-MS, the covariance matrix of the spatial positions of each patient’s lesional voxels is computed and its eigenvalues extracted. …”
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Study of Fatigue Changes during the Working Day on the Base of Job Stress: The Role of Job Demands and Job Control on Fatigue Occurring by sahar Rahimian Aghdam, Abdolrasoul Safaiyan, Yahya Rasoulzadeh, Seyed Shamseddin Alizadeh

“…The normality of quantitative data was evaluated by K-S test, identity of the covariance matrix was checked by Mauchlychr('39')s W test and the Nested Repeated Measure and Controlling Covariates test was used to investigate fatigue among three time periods by SPSS Software Version 25. …”
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The effect of Ethical leadership on life Satisfaction and well-being by Mediation of job Satisfaction: The case of Private Hospitals in Mashhad city by Mohammad Reza Ahanchian, Parvane Yazdani, Samane Sadeghian

“…This is an applied research conducted based on a descriptive-correlational survey design in which data analysis was performed by covariance matrix using structural equation modeling (DEM) technique. …”
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Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin by Y. Wang, K. N. Sartelet, M. Bocquet, P. Chazette, M. Sicard, G. D'Amico, J. F. Léon, L. Alados-Arboledas, A. Amodeo, P. Augustin, J. Bach, L. Belegante, I. Binietoglou, X. Bush, A. Comerón, H. Delbarre, D. García-Vízcaino, J. L. Guerrero-Rascado, M. Hervo, M. Iarlori, P. Kokkalis, D. Lange, F. Molero, N. Montoux, A. Muñoz, C. Muñoz, D. Nicolae, A. Papayannis, G. Pappalardo, J. Preissler, V. Rizi, F. Rocadenbosch, K. Sellegri, F. Wagner, F. Dulac

“…We conduct sensitivity studies on algorithmic parameters, e.g. the horizontal correlation length (<i>L</i>_h) used in the background error covariance matrix (50 km, 100 km or 200 km), the altitudes at which DA is performed (0.75–3.5 km, 1.0–3.5 km or 1.5–3.5 km a.g.l.) and the assimilation period length (12 h or 24 h). …”
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Effectiveness of Communication Skills Training for Social Adaptation and Responsibility of Bully Girl Students in Karaj by Leila Yassini, Ghamar Kiani, Mohammad Mojtabazadeh

“…Also, according to the Box’s M test, the equality of the covariance matrix of the dependent variables was not significant between the experimental and control groups (p>0.05). …”
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Comparison of Job Burnout and Happiness in Shift Workers and Office Workers of the Police Headquarter of the Islamic Republic of Iran (FARAJA) in Ahvaz, Iran by Najmeh Hamid, Saleh Motahari rad, Sayed Ali Marashi, Mojtaba Ahmadi Farsani

“…The box's M test results showed that the variance-covariance matrix's default homogeneity was met for the components of burnout (box's M =6.895 and p=0.348) and happiness (box's M =6.438 and p=0.115). …”
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Comparing the Effectiveness of Adlerian and Emotion-Focused Group Counseling on the Resilience of Women with Marital Conflict by Zahra Azemnia, Fariba Hasani, Farnaz Keshavarzi Arshadi, Shahrbanoo Ghahari Ahangar Kalaee

“…As a result, the default of the sameness of the variances and, more precisely, the homogeneity condition of the covariance matrix was not ensured. Therefore, a violation of the F statistical model was made (Table 5). …”
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The Effectiveness of Transcranial Direct Current Stimulation Treatment with Cognitive Rehabilitation on Reducing Craving and Improving Inhibitory Control in Tramadol-Dependent Adol... by Mojtaba Ahmadi Farsani, Sayed Ali Marashi, Kioumars Beshlideh

“…Also, based on the Box's M test, the equality of the covariance matrix of the dependent variables between the experimental and control groups in both the post-test and follow-up levels was not significant at the alpha level of 0.05. …”
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ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS by LÓPEZ L.A., IEMMA A.F.

“…A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.…”
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Solving an Eigen Problem to Create Reliable Tree-Ring Chronologies by Nina M. Datsenko, Dmitry M. Sonechkin, Bao Yang

“…It is very popular in meteorology and climatology to solve the so-called eigen problem for the meteorological field covariation matrix in order to extract “main modes” of the meteorological field variability. …”
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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS PRODUK (Studi Kasus Pada PT. Simongan Plastik Factory Semarang) by L. Suryanto Suryanto, Sutopo Sutopo

“…According the result from confirmatory factor analysis of primary data, it show no difference between covariant matrix of sample and covariant matrix estimated from the population and the 27 indicators were significantly its latent factors. …”
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Making the Most of Single Sensor Information: A Novel Fusion Approach for 3D Face Recognition Using Region Covariance Descriptors and Gaussian Mixture Models by Janez Križaj, Simon Dobrišek, Vitomir Štruc

“…In this paper, we focus on face recognition using images captured by a single 3D sensor and propose a method based on the use of region covariance matrixes and Gaussian mixture models (GMMs). …”
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Minimax Rates of <i>ℓ</i>_<i>p</i>-Losses for High-Dimensional Linear Errors-in-Variables Models over <i>ℓ</i>_<i>q</i>-Balls by Xin Li, Dongya Wu

“…Different from most of the other methods, which are based on the assumption that the true covariates are fully obtained, results in this paper only require that the corrupted covariate matrix is observed. Then, by the application of information theory, the minimax rates of convergence for estimation are investigated in terms of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mo>ℓ</mo><mi>p</mi></msub><mspace width="4pt"></mspace><mrow><mo>(</mo><mn>1</mn><mo>≤</mo><mi>p</mi><mo><</mo><mo>∞</mo><mo>)</mo></mrow></mrow></semantics></math></inline-formula>-losses under the general sparsity assumption on the underlying regression parameter and some regularity conditions on the observed covariate matrix. …”
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Fast parallelized sampling of Bayesian regression models for whole-genome prediction by Tianjing Zhao, Rohan Fernando, Dorian Garrick, Hao Cheng

“…This is done by augmenting the marker covariate matrix by adding p (the number of markers) new rows such that columns of the augmented marker covariate matrix are orthogonal. …”
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