Performance analysis of zero-forcing coordinated MIMO transmission in interference channels by Hai-rong WANG, Jian DONG, Yong-ming HUANG, ANGLV-xi Y

“…The performance of the zero-forcing (ZF) coordinated transmit strategy in multiple-input multiple-output (MIMO) interference channels was investigated.With the goal to derive analytical expression of its performance metric such as the sum rate and the outage probability,the asymptotic behavior of the performance metric was examined with the MIMO dimension tending to infinity.Using the random ma ix theory,an asymptotic estimate of all the eigenvalues of the effective channel matrix in the ZF coordinated transmit strategy was first proposed.Based on that,two closed-form expressions of the sum rate were derived,from which the scaling law of the sum rate with the MIMO dimension was obtained.Furthermore,using the multivariate statistics about the probability density distribution of the minimum eigenvalue of a Wishart matrix,the analytical expression of the outage probability for the coordinated transmit scheme was achieved under two special cases.Simulation results show that the proposed tical expression of the performance metric is valid not only in the large-dimension regime,but also in the normal-dimension regime.…”
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Near and similar restaurants: competitors or allies? by Alexander Sánchez-Rodríguez, Margarita De Miguel-Guzmán, Gelmar García-Vidal, Rodobaldo Martínez-Vivar

“…In addition, bivariate statistics were utilised to test the hypotheses, while multivariate statistics were used to conduct correspondence analysis. …”
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HYDROXYLAPATITE OF BONE TISSUE: DYNAMICS OF CRYSTALLOCHEMICAL ALTERATIONS UPON OSTEOPOROSIS by A.A. Bibko, O.V. Bukharova, E.A. Kostrub, A.G. Miroshnichenko, M.V. Korovkin

“…A significant role of Al in the development of the disease was established using multivariate statistics methods. The X-ray diffraction revealed the increase in the unit cell parameters of hydroxylapatite with the osteoporosis progression. …”
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Quadratic Forms in Random Matrices with Applications in Spectrum Sensing by Daniel Gaetano Riviello, Giusi Alfano, Roberto Garello

“…Quadratic forms with random kernel matrices are ubiquitous in applications of multivariate statistics, ranging from signal processing to time series analysis, biomedical systems design, wireless communications performance analysis, and other fields. …”
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Applying of Factor Analyses for Determination of Trace Elements Distribution in Water from River Vardar and Its Tributaries, Macedonia/Greece by Stanko Ilić Popov, Trajče Stafilov, Robert Šajn, Claudiu Tănăselia, Katerina Bačeva

“…Cluster and R mode factor analysis (FA) was used to identify and characterise element associations and four associations of elements were determined by the method of multivariate statistics. Three factors represent the associations of elements that occur in the river water naturally while Factor 3 represents an anthropogenic association of the elements (Cd, Ga, In, Pb, Re, Tl, Cu, and Zn) introduced in the river waters from the waste waters from the mining and metallurgical activities in the country.…”
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Differentiation of modern sub-Saharan African populations: craniometric interpretations in relation to geography and history by Isabelle Ribot

“…The sample was subdivided into four geographical units (Western Africa, Central Africa, Eastern Africa, Southern Africa) and two historic foraging groups (Pygmies, KhoiSan). Multivariate statistics were performed using up to twelve metric traits. …”
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Study of Seasonal Variation in Groundwater Quality of Sagar City (India) by Principal Component Analysis by Hemant Pathak, S. N. Limaye

“…The work was carried out during different months of the pre-monsoon, monsoon and post-monsoon seasons in June 2009 to June 2010. The multivariate statistics such as principal component and cluster analysis were applied to the datasets to investigate seasonal variations in groundwater quality. …”
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Differences in the achievement motivation in young football players and non-athletes by Milan Jelić

“…For the purpose of data processing in this study were used methods of descriptive and multivariate statistics (t-test, canonical discriminant analysis, F-test). …”
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The Metabolomic Characterization of Different Types of Coronary Atherosclerotic Heart Disease in Male by Yuxuan Fan, Xianglan Quan, Shengquan Liu, Le Yue, Jizong Jiang, Zhiqing Fan

“…The serum samples of patients were analyzed by multivariate statistics. Results. Results showed that 17 altered metabolites were identified to have a clear distinction between the stable CAD group and the healthy subjects. …”
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Quantification of Hydrogen Peroxide in Cretan Honey and Correlation with Physicochemical Parameters by Amalia Alygizou, Spyros Grigorakis, Panagiota Gotsiou, Sofia Loupassaki, Antony C. Calokerinos

“…Univariate and multivariate statistics applied to the results indicate that the results can be used to discriminate honey sample groups of different botanical origins.…”
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Hydrogeochemical characterization and water quality assessment of mountain springs: Insights for strategizing water management in the lesser Indian Himalayas by Bhargabnanda Dass, M. Someshwar Rao, Sumit Sen

“…We employed an integrated approach combining hydrogeochemical analysis, multivariate statistics, and spring water quality index modeling to understand the dominant processes influencing aquifer hydrochemistry and assess spring status, providing a reference framework for regional water management decision-makers. …”
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Assessment of phenotypic diversity of Ñuña, a local common bean (Phaseolus vulgaris L.) from the northern Andes in Peru by Angel Esteban Santa Cruz Padilla, Jorge Luis Vásquez-Orrillo, Ricardo Manuel Bardales-Lozano, Hipolito Murga-Orrillo

“…The analysis considered qualitative and quantitative traits, using multivariate statistics and comparison of means. Results revealed high phenotypic variability in both qualitative and quantitative traits. …”
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What drives farmers’ behavior under climate change? Decoding risk awareness, perceived impacts, and adaptive capacity in northern Italy by Sandra Ricart, Claudio Gandolfi, Andrea Castelletti

“…Descriptive and multivariate statistics, including structural equation modeling, were employed to outline the profiles of farmers, explore the drivers shaping their behavior, and disentangle the magnitude and direction underpinning their adaptive capacity. …”
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Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory by Cheng Feng, Chuang Han, Wenxing Duan, Wei Wang, Yuntao Zhong, Ziyan Feng, Ning Zhang

“…Next, the experimental results were substituted into the established model to get the model parameters via the multivariate statistics regression method. Then, the experimental data engaged and not engaged in modeling were used to test the established model. …”
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Depression Following Thrombotic Cardiovascular Events in Elderly Medicare Beneficiaries: Risk of Morbidity and Mortality by Christopher M. Blanchette, Linda Simoni-Wastila, Fadia T. Shaya, Denise Orwig, Jason Noel, Bruce Stuart

“…Time to death and first recurrent TCE were assessed using descriptive and multivariate statistics. Results. Of the elders with a depression claim, 71.6% had a recurrent TCE and 4.7% died within 12 months of their indexed TCE, compared to 67.6% and 3.9% of those elders without a depression claim. …”
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Effects of axylitol-casein complex on insulin resistance and gut microbiota composition in high-fat-diet + streptozotocin-induced type 2 diabetes mellitus mice by Fanhua Kong, Juan Zhang, Shimo Kang, Xinyu Shen, Aicheng Liu, Yan Zheng, Junhua Shao, Xiqing Yue

“…High-fat-diet (HFD) + streptozotocin (STZ)-induced T2DM mice were treated with xylitol (XY), casein (CN), and XC, after which fecal samples were collected for gut microbiota composition and diversity analyses based on 16S rRNA high-throughput sequencing and multivariate statistics. XC decreased body weight and improved glucose tolerance, insulin sensitivity, pancreas impairment, blood lipid levels, and liver function in T2DM mice compared to XY- and CN-treated mice. …”
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Differential expression of plasma proteins and pathway enrichments in pediatric diabetic ketoacidosis by Paolo Spagnolo, Enis Cela, Maitray A. Patel, David Tweddell, Mark Daley, Cheril Clarson, Saverio Stranges, Gediminas Cepinskas, Douglas D. Fraser

“…Data analysis was performed using multivariate statistics, machine learning, and bioinformatics. …”
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Early mortality, epidemiological and clinical factors in seriously ill patients treated in Intermediate Care Units by Osmani Pérez Ortiz, Angel Antonio Urbay Ruíz, Elaine Teresa Gutiérrez Pérez, Lis Marlyn Rodríguez García, Ivette Irene Molina Linares, Ernesto Conyedo Vergel

“…Documentary analysis of medical records and descriptive and inferential, bivariate and multivariate statistics were used. Results: older adult patients increased the possibility of dying early 1.5 times and those with white skin three times, the latter with an 80% occurrence in this study. …”
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The volatilome – investigation of volatile organic metabolites (VOM) as potential tumor markers in patients with head and neck squamous cell carcinoma (HNSCC) by Philipp Opitz, Olf Herbarth

“…In addition, the multivariate statistics confirmed that on the basis of the renal excreted pattern of the volatile metabolites a high discrimination can be carried out between patients with a tumor in the head and neck region and controls. …”
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Consumer acceptance of protein beverage ingredients: Less is more by D. Rovai, M.E. Watson, D.M. Barbano, M.A. Drake

“…Survey data were evaluated by univariate and multivariate statistics. Consumer sentiment from focus groups was compiled and grouped based on themes that emerged across multiple focus groups. …”
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