Relevant bibliographies by topics / Multivariada Analysis. eng

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multivariada Analysis. eng'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Multivariada Analysis. eng"

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Chebana, F., and T. B. M. J. Ouarda. "Multivariate quantiles in hydrological frequency analysis." Environmetrics 22, no. 1 (2011): 63–78. http://dx.doi.org/10.1002/env.1027.

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Cressie, N., M. Morara, B. Buxton, N. McMillan, W. Strauss, and N. Wilson. "A Bayesian multivariate analysis of children's exposure to pesticides." Environmetrics 24, no. 5 (2013): 357–66. http://dx.doi.org/10.1002/env.2220.

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Cooper, D. M., and C. D. Evans. "Constrained multivariate trend analysis applied to water quality variables." Environmetrics 13, no. 1 (2002): 43–53. http://dx.doi.org/10.1002/env.504.

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Liu, Qingze, Aiping Liu, Xu Zhang, Xiang Chen, Ruobing Qian, and Xun Chen. "Removal of EMG Artifacts from Multichannel EEG Signals Using Combined Singular Spectrum Analysis and Canonical Correlation Analysis." Journal of Healthcare Engineering 2019 (December 31, 2019): 1–13. http://dx.doi.org/10.1155/2019/4159676.

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Electroencephalography (EEG) signals collected from human scalps are often polluted by diverse artifacts, for instance electromyogram (EMG), electrooculogram (EOG), and electrocardiogram (ECG) artifacts. Muscle artifacts are particularly difficult to eliminate among all kinds of artifacts due to their complexity. At present, several researchers have proved the superiority of combining single-channel decomposition algorithms with blind source separation (BSS) to make multichannel EEG recordings free from EMG contamination. In our study, we come up with a novel and valid method to accomplish mus
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Zuur, A. F., R. J. Fryer, I. T. Jolliffe, R. Dekker, and J. J. Beukema. "Estimating common trends in multivariate time series using dynamic factor analysis." Environmetrics 14, no. 7 (2003): 665–85. http://dx.doi.org/10.1002/env.611.

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Schellenberg, R., M. Schindler, F. Bölsche, et al. "Multivariate EEG power spectral analysis in acute schizophrenics." International Journal of Psychophysiology 8, no. 1 (1989): 85–91. http://dx.doi.org/10.1016/0167-8760(89)90022-6.

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Aydinov, G. T., B. I. Marchenko, and Yu A. Sinelnikova. "Multivariate analysis of structure and contribution per shares made by potential risk factors at malignant neoplasms in trachea, bronchial tubes and lung." Health Risk Analysis, no. 1 (January 2017): 47–55. http://dx.doi.org/10.21668/health.risk/2017.1.06.eng.

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Joo, Yongsung, Keunbaik Lee, Joong-Hyuk Min, Seong-Taek Yun, and Trevor Park. "Logistic mixture of multivariate regressions for analysis of water quality impacted by agrochemicals." Environmetrics 18, no. 5 (2007): 499–514. http://dx.doi.org/10.1002/env.820.

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Spezia, Luigi, Martyn N. Futter, and Mark J. Brewer. "Periodic multivariate normal hidden markov models for the analysis of water quality time series." Environmetrics 22, no. 3 (2010): 304–17. http://dx.doi.org/10.1002/env.1051.

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Abellan, Juan J., Daniela Fecht, Nicky Best, Sylvia Richardson, and David J. Briggs. "Bayesian analysis of the multivariate geographical distribution of the socio-economic environment in England." Environmetrics 18, no. 7 (2007): 745–58. http://dx.doi.org/10.1002/env.872.

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Dissertations / Theses on the topic "Multivariada Analysis. eng"

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Dalaqua, Roberto Ruano. "Aplicação de métodos combinados de avaliação imobiliária na elaboração da planta de valores genéricos /." Presidente Prudente, 2007. http://hdl.handle.net/11449/86770.

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Orientador: Amilton Amorim<br>Coorientador: Edílson Ferreira Flores<br>Banca: Vilma Mayumi Tachibana<br>Banca: Sérgio Antonio Rohm<br>Resumo: A Planta de Valores Genéricos faz p arte do sistema cadastral de uma prefeitura e trata-se de uma importante ferramenta para o planejamen to urbano. Para a sua concepção são necessárias várias etapas, dentre as quais se destacam: a coleta de informações e a própria avaliação. A norma número 14653-2 da ABNT recomenda a aplicação do método comparativo de dados de mercado, mas nem sempre este procedimento é possível devido à ausência de amostras significati
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Toledo, Carlos Eduardo Vieira. "Análises estatística multivariada e filogenética dos dipnoiformes brasileiros. Comparações bióticas com o Gondwana ocidental /." Rio Claro : [s.n.], 2006. http://hdl.handle.net/11449/103010.

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Resumo: Dipnoiformes não têm sido particularmente bem estudados no Brasil, devido à falta de espécimens e da aparente distribuição paleobiogeográfica limitada. A descoberta de novas localidades mudou isto. No momento foram identificados Dipnoiformes nas seguintes bacias sedimentares brasileiras: Paraná, estados de Rio Grande do Sul (Triássico), Paraná (Permiano Superior), São Paulo (Permiano Superior), Mato Grosso (Devoniano); Bauru, Estado de São Paulo (Cretáceo Superior); Parnaíba, Estado do Maranhão (Permiano Inferior); Araripe, Estado de Ceará (Jurássico Superior/Cretáceo Inferior); São Lu
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Messetti, Ana Vergínia Libos 1964. "Utilização de técnicas multivariadas na avaliação da divergência genética de populações de girassol (Helianthus annuus L.) /." Botucatu : [s.n.], 2007. http://hdl.handle.net/11449/101858.

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Orientador: Carlos Roberto Padovani<br>Banca: Adriano Wagner Ballarin<br>Banca: José Carlos Martinez<br>Banca: Jacinta Ludovico Zamboti<br>Banca: Marie Oshiiwa<br>Resumo: Este trabalho foi desenvolvido com os objetivos de avaliar a divergência genética de 12 populações de girassol do Banco de Germoplasma da EMBRAPA /Soja de Londrina por meio de técnicas multivariadas; divulgar tópicos recentes e interessantes das técnicas multivariadas que não são explorados nos trabalhos científicos de melhoramento de plantas e orientar a escolha de populações para cruzamentos nos programas de melhoramento ge
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Ferreira, Rogério Vitor. "Uso da análise multivariada para caracterização de comunidades infestantes em cana-soca /." Jaboticabal : [s.n.], 2009. http://hdl.handle.net/11449/96858.

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Resumo: O agroecossistema da cana-de-açúcar vem sendo alterado com a adoção gradativa do sistema de colheita mecanizado, pois além de eliminar a presença do fogo possibilita a manutenção da camada de palha sobre a superfície, reduz a movimentação do solo e altera a dinâmica de herbicidas. Essas alterações promovem modificações nas condições microclimáticas, que por sua vez, afetam a composição especifica das plantas daninhas. O objetivo deste estudo foi avaliar a possibilidade de agrupar talhões de cana-de-açúcar colhida mecanicamente e sem queima prévia da palha na região de Ribeirão Preto, S
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Oliveira, José Roberto Temponi de 1962. "Utilização de procedimentos multivariados na produtividade agrícola e climatica na região sudeste do Estado de Mato Grosso /." Botucatu : [s.n.], 2009. http://hdl.handle.net/11449/101687.

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Orientador: Carlos Roberto Padovani<br>Banca: Teresa Cristina Martins Dias<br>Banca: Sandra Fiorelli de P. Simeão<br>Banca: Marie Oshiiwa<br>Banca: Antonio Carlos Simões Pião<br>Resumo: A necessidade de entender o relacionamento entre variáveis biológicas faz da análise multivariada uma metodologia com grande potencial de aplicação em várias áreas do conhecimento. Na agricultura, sua utilização vem auxiliando a compreensão e a obtenção de respostas altamente interessantes e práticas, que permitem optar pelo seu emprego, tanto pela eficiência como pela acurácia do método na interpretação dos re
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Neves, Marta de Campos. "Produção in vitro de metano e análise da diversidade genética das Archaea metanogênicas do rúmen de bovinos /." Jaboticabal : [s.n.], 2008. http://hdl.handle.net/11449/103925.

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Resumo: Estratégias para reduzir o aquecimento da Terra e aumentar a produção animal requerem novos sistemas, onde devem ser consideradas as emissões de metano e de outros gases que possam provocar danos ao meio ambiente. O objetivo deste trabalho foi a mensuração da produção de metano por arquéias e aplicação da metagenômica para detecção destas na fração sólida do conteúdo ruminal. Para a análise da produção de metano foi colhido o conteúdo ruminal seguido do preparo da solução a ser fermentada e armazenamento dos gases. A amplificação da região 168 rDNA foi obtida por PCR e a seguir foram f
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Prata, Eduardo Magalhães Borges. "Estrutura e composição de espécies arbóreas em um trecho de floresta ombrófila densa atlântica no litoral norte do estado de São Paulo e padrões de similaridade florística em escala regional /." Rio Claro : [s.n.], 2009. http://hdl.handle.net/11449/87894.

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Orientador: Marco Antonio de Assis<br>Banca: Sergius Gandolfi<br>Banca: Natália Macedo Ivanauskas<br>Resumo: Este trabalho foi desenvolvido em um trecho de Floresta Ombrófila Densa Atlântica no Núcleo Picinguaba do Parque Estadual da Serra do Mar, litoral norte do Estado de São Paulo, município de Ubatuba-SP. A área de estudo corresponde a uma das parcelas amostrais (Parcela D) do Projeto Temático "Composição florística, estrutura e funcionamento da Floresta Ombrófila Densa dos Núcleos Picinguaba e Santa Virgínia do Parque Estadual da Serra do Mar" do Programa BIOTA-FAPESP. Nosso estudo foi es
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Siqueira, Diego Silva. "Suscetibilidade magnética para a estimativa de atributos do solo e mapeamento de áreas sob cultivo de cana-de-açúcar /." Jaboticabal : [s.n.], 2010. http://hdl.handle.net/11449/96950.

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Resumo: O objetivo deste estudo foi avaliar o potencial da suscetibilidade magnética para estimar atributos do solo e mapear áreas de manejo especifico para a cultura da cana-de-açúcar. Dois experimentos foram realizados. No primeiro, foram amostrados 50 pontos de forma aleatória em uma área de 2 ha, na profundidade de 0,00 - 0,20 m. Foi construída uma curva de calibração para converter as leituras das amostras de solo feitas na balança em medidas de suscetibilidade magnética. A suscetibilidade magnética medida por uma balança analítica teve uma correlação de 0,58 com o teor de argila, -0,75 c
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Costa, Marcelo Marchi. "Herança quali-quantitativa e marcadores moleculares para seleção assistida de genótipos de soja resistentes à ferrugem asiática /." Jaboticabal : [s.n.], 2008. http://hdl.handle.net/11449/102839.

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Resumo: A seleção assistida por marcadores moleculares têm contribuído com os estudos para o desenvolvimento de cultivares resistentes. Os ganhos mais evidentes podem ocorrer em doenças como a ferrugem asiática da soja, onde a alta variabilidade do patógeno e a busca por novas fontes de resistência têm dificultado o sucesso dos melhoristas. Assim, os objetivos deste trabalho foram estudar a herança da resistência à ferrugem em diferentes fontes e desenvolver marcadores SCAR ligados a um loco de resistência para seleção assistida. Populações F2 oriundas dos cruzamentos PI 459025 x CD 208 (1), P
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Oshiiwa, Marie 1964. "Desenvolvimento de programa computacional para delineamento em blocos completos casualizados com respostas multidimensionais e sua aplicação em ensaios agronômicos /." Botucatu : [s.n.], 2001. http://hdl.handle.net/11449/90697.

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Orientador: Carlos Roberto Padovani<br>Banca: Flavio Ferrari Aragon<br>Banca: Antonio Sergio Ferraudo<br>Resumo: O presente trabalho discute aspectos teóricos e práticos da análise de varncia multivariada (MANOVA) para o experimento em blocos completamente caslizados (EBCC). A discussão foi realizada considerando situações agronômicas enilvendo planejamento com dados experimentais provenientes de diversas variáveis obsrvadas na mesma parcela, ou sei a, a unidade experimental é composta de muitas variáveis respostas (multivariada). Considerando a dificuldade existente quanto a programas con;put
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Books on the topic "Multivariada Analysis. eng"

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Flury, Bernhard. Commonprincipal components and related multivariate models. Wiley, 1988.

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Flury, Bernhard. Common principal components and related multivariate models. Wiley, 1988.

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A user's guide to principal components. Wiley-Interscience, 2003.

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Jackson, J. Edward. A user's guide to principal components. Wiley, 1991.

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Veech, Joseph A. Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.001.0001.

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Habitat is crucial to the survival and reproduction of individual organisms as well as persistence of populations. As such, species-habitat relationships have long been studied, particularly in the field of wildlife ecology and to a lesser extent in the more encompassing discipline of ecology. The habitat requirements of a species largely determine its spatial distribution and abundance in nature. One way to recognize and appreciate the over-riding importance of habitat is to consider that a young organism must find and settle into the appropriate type of habitat as one of the first challenges
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Prado, Raquel. Multistate models for mental fatigue. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.29.

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This article discusses the use of structured, multivariate Bayesian dynamic models in the analysis of experimental data involving large-scale electroencephalography (EEG) signals or time series generated on individuals subject to tasks inducing mental fatigue. It first provides an overview of the goals and challenges in the analysis of brain signals, using the EEG case as example, before describing the development and application of novel time-varying autoregressive and regime switching models, which incorporate relevant prior information via structured priors and fitted using novel, customize
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Jackson, J. Edward. User's Guide to Principal Components. Wiley & Sons, Incorporated, John, 2005.

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Congendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.

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Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We em
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Book chapters on the topic "Multivariada Analysis. eng"

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Molinari, Luciano, and Guido Dumermuth. "Robust Multivariate Spectral Analysis of the EEG." In Directions in Robust Statistics and Diagnostics. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-4444-8_3.

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Veena, S. T., and M. N. Sumaiya. "Human Emotion Classification Using EEG Signals by Multivariate SynchroSqueezing Transform." In Human Behaviour Analysis Using Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35139-7_9.

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Levin-Schwartz, Yuri, Vince D. Calhoun, and Tülay Adalı. "Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis." In Latent Variable Analysis and Signal Separation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22482-4_57.

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Georgiadis, S. D., M. P. Tarvainen, J. P. Niskanen, et al. "Time-Varying Multivariate Correlation Analysis of EEG during Low Dose Propofol Anesthesia." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_538.

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Nemoto, Iku. "Application of Multivariate Analysis to Detect Significant Change in MEG or EEG of Individual Subjects." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_367.

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Nwaogu, Chukwudi. "Improving Food Security by Adapting and Mitigating Climate Change-Induced Crop Pest: The Novelty of Plant-Organic Sludge in Southern Nigeria." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_135.

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AbstractClimate change is a global issue threatening food security, environmental safety, and human health in tropical and developing countries where people depend mainly on agriculture for their livelihood. Nigeria ranks among the top in the global yam production. It has the largest population in Africa and has been able to secure food for its growing population through food crops especially yam. Unfortunately, the recent increase in termites’ colonies due to climate change threatens yam yield. Besides harming man and environment, pesticides are expensive and not easily accessible to control the pests. This prompted a study which aimed at applying a biotrado-cultural approach in controlling the termites, as well as improving soil chemical properties and yam production. The study hypothesized that Chromolaena odorata and Elaeis guineensis sludge improved soil nutrient and yam yield and consequently decreased termites’ outbreak. In a randomized design experiment of five blocks and five replicates, five different treatments including unmanaged (UM), Vernonia amygdalina (VA), Chromolaena odorata (CO), Elaeis guineensis (EG) liquid sludge, and fipronil (FP) were applied in termites-infested agricultural soil. Data were collected and measured on the responses of soil chemical properties, termites, and yam yield to treatments using one-way ANOVA, regression, and multivariate analyses. The result showed that Chromolaena odorata (CO) and EG treatments were the best treatments for controlling termites and increase yam production. Termites were successfully controlled in VA and FP treatments, but the control was not commensurate with yam production. The experiment needs to be extended to other locations in the study region. It also requires an intensive and long-term investigation in order to thoroughly understand (i) the influence of climate change on the termites’ outbreak, (ii) the extent of termite damage to the crops, (iii) the impacts of climate change and variability on yam yields, (iii) the agricultural and economic benefits of the applied treatments, and (iv) the ecological and human health safety of the treatments.
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M., Sujaritha, Kavitha M., and Fenila Naomi J. "Application of Data Analytics in Emerging Fields." In Advances in Data Mining and Database Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2566-1.ch005.

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Data, which is available in abundance and in accessible forms, if analyzed in an efficient manner, unfolds many patterns and promising solutions. The present world is moving from the information age to the digital age, entering a new era of analytics. Whatever the end user does is recorded and stored. The purpose of data analytics is to make the “best out of waste.” Analytics often employs advanced statistical techniques (logistic regression, multivariate regression, time series analysis, etc.) to derive meaning from data. There are essentially two kinds of analytics: 1) descriptive analytics and 2) predictive analytics. Descriptive analytics describes what has happened in the past. Predictive analytics predicts what will happen in the future.
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Zanarini, Mary C. "Predictors of Time-to-Remission and Recovery." In In the Fullness of Time. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780195370607.003.0012.

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This chapter reports on the bivariate and multivariate predictors of two of our most important outcomes—remission and recovery. In terms of time-to-remission, seven variables that span five areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, good premorbid vocational functioning, no history of childhood sexual abuse, no family history of substance abuse, and three aspects of temperament. In terms of time-to-recovery, five variables that span three areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, competence, and temperament. The clinical implications of these significant models and the significant bivariate predictors that did not end up in these models are discussed in detail.
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Nguyen, Hung T., Vladik Kreinovich, and Gang Xiang. "Random Fuzzy Sets." In Intelligent Data Analysis. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-982-3.ch002.

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It is well known that in decision making under uncertainty, while we are guided by a general (and abstract) theory of probability and of statistical inference, each specific type of observed data requires its own analysis. Thus, while textbook techniques treat precisely observed data in multivariate analysis, there are many open research problems when data are censored (e.g., in medical or bio-statistics), missing, or partially observed (e.g., in bioinformatics). Data can be imprecise due to various reasons, for example, due to fuzziness of linguistic data. Imprecise observed data are usually called coarse data. In this chapter, we consider coarse data which are both random and fuzzy. Fuzziness is a form of imprecision often encountered in perception-based information. In order to develop statistical reference procedures based on such data, we need to model random fuzzy data as bona fide random elements, that is, we need to place random fuzzy data completely within the rigorous theory of probability. This chapter presents the most general framework for random fuzzy data, namely the framework of random fuzzy sets. We also describe several applications of this framework.
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Veech, Joseph A. "Statistical Methods for Analyzing Species–Habitat Associations." In Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.003.0009.

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Six methods for statistically identifying and quantifying meaningful species–habitat associations are discussed. These are (1) comparison among group means (e.g. ANOVA), (2) multiple linear regression, (3) multiple logistic regression, (4) classification and regression trees, (5) multivariate techniques (principal components analysis and discriminant function analysis), and (6) occupancy modeling. Each method is described in statistical detail and associated terminology is explained. The example of habitat associations of a hypothetical beetle species (from Chapter 8) is used to further explain some of the methods. Assumption, strengths, and weaknesses of each method are discussed. Related statistical constructs and procedures such as the variance–covariance matrix, negative binomial distribution, generalized linear modeling, maximum likelihood estimation, and Bayes’ theorem are also explained. Some historical context is provided for some of the methods.
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Conference papers on the topic "Multivariada Analysis. eng"

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Liu, Qianqian, Jun Wang, and Fengzhen Hou. "Multivariate symbol transfer entropy analysis on epileptic EEG." In 2015 6th International Conference on Manufacturing Science and Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/icmse-15.2015.323.

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Luo, Yonghong, Ying Zhang, Xiangrui Cai, and Xiaojie Yuan. "E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/429.

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The missing values, appear in most of multivariate time series, prevent advanced analysis of multivariate time series data. Existing imputation approaches try to deal with missing values by deletion, statistical imputation, machine learning based imputation and generative imputation. However, these methods are either incapable of dealing with temporal information or multi-stage. This paper proposes an end-to-end generative model E²GAN to impute missing values in multivariate time series. With the help of the discriminative loss and the squared error loss, E²GAN can impute the incomplete time s
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Filippov, A. S., N. I. Drobyshevsky, D. D. Kamenskay, A. E. Kisselev, and E. V. Moiseenko. "End-to-End Technology of Modeling a Melt-Structure Interaction During IVMR in VVER With HEFEST-URAN Toolkit." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30546.

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The problem of reactor pressure vessel (RPV) integrity during in-vessel melt retention for VVER type reactor is considered. Comprehensive numerical analysis contains the modeling of full severe accident scenario including thermal and mechanical loads on the RPV. The RPV stress calculation takes into consideration vessel thermal erosion and creep with a long-term strength, and error estimations: uncertainty analysis, sensitivity study. These problems are solved with the presented HEFEST-URAN package including: HEFEST code (2D FEM analysis of melt-structure interaction), HEFEST-M code (2D FEM st
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Sharma, Aarti, J. K. Rai, and R. P. Tewari. "Multivariate EEG signal analysis for early prediction of epileptic seizure." In 2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS). IEEE, 2015. http://dx.doi.org/10.1109/raecs.2015.7453318.

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Onay, Fatih, and Ahmet Mert. "Multivariate empirical mode decomposition based EMG signal analysis for smart prosthesis." In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404188.

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Shaw, Laxmi, and Aurobinda Routray. "Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA." In 2016 IEEE EMBS International Student Conference (ISC). IEEE, 2016. http://dx.doi.org/10.1109/embsisc.2016.7508624.

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Liberati, Caterina, Elisa Arrigo, and Paolo Mariani. "A Multivariate Approach to Facebook Data for Marketing Communication." In CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/carma2016.2016.2974.

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Abstract:
The aim of this paper is to propose a method to explore and synthesize social media data in order to aid businesses to make their communication decisions. The research was conducted at the end of 2014 on 5607 Italian Facebook subjects interested in drugs and health. In this study, we refer to the pharmaceutical market that is characterized by strict legal constraints, which prevent any promotional activities (such as advertising) of companies on prescription drugs. Thus, pharmaceutical businesses tend to promote their corporate brand instead of a single product brand. In such context, social m
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Stefanov, Zdravko, and Leo Chiang. "Application of multivariate batch data analysis for troubleshooting of end-point product quality." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5991352.

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Tu, Yiheng, Yeung Sam Hung, Zhiguo Zhang, and Li Hu. "Prediction of pain perception using multivariate pattern analysis of laser-evoked EEG oscillations." In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV). IEEE, 2014. http://dx.doi.org/10.1109/icarcv.2014.7064271.

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Chiang, Joyce, Z. Jane Wang, and Martin J. McKeown. "Sparse multivariate autoregressive (mAR)-based partial directed coherence (PDC) for electroencephalogram (EEG) analysis." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959619.

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