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＜電子ブック＞
Recent Developments in Statistics and Data Science : SPE2021, Évora, Portugal, October 13–16 / edited by Regina Bispo, Lígia Henriques-Rodrigues, Russell Alpizar-Jara, Miguel de Carvalho
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 398)

版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XIII, 364 p. 117 illus., 80 illus. in color : online resource
著者標目	Bispo, Regina editor Henriques-Rodrigues, Lígia editor Alpizar-Jara, Russell editor de Carvalho, Miguel editor SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Quantitative research LCSH:Biometry LCSH:Social sciences—Statistical methods FREE:Statistical Theory and Methods FREE:Data Analysis and Big Data FREE:Biostatistics FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
一般注記	N. Sepúlveda, How to Increase the Visibility of Statisticians in the Modern World of Dataism? -- M. Souto de Miranda, M. C. Miranda, M. I. Gomes, A Robust Hurdle Poisson Model in the Estimation of the Extremal Index -- F. Caeiro, Maria Ivette Gomes, Computational Study of the Adaptive Estimation of the Extreme Value Index with Probability Weighted Moments -- M. I. Gomes, F. Caeiro, L. Henriques-Rodrigues , Estimation of the Weibull Tail Coefficient through the Power Mean-of-Order p -- S. Dias, M. da Graça Temido, On the Maximum of a Bivariate Max-INAR(1) process -- M. Cardoso, A. Martins, The Performance of a Combined Distance Between Time Series -- E. Gonçalves, D. Sousa, Zero-distorted Generalized Geometric Distribution with Application to Time Series of Counts -- A. Borges, M. R. Ramos, Clara Cordeiro, Uncovering Abnormal Water Consumption Patterns for Sustainability’s Sake: A Statistical Approach -- P. Fernando Cabral dos Anjos Junior, P. Milheiro-Oliveira, Modeling and Forecasting Wind Energy Production by Stochastic Differential Equations -- A. Monteiro, M. Lucília Carvalho, I. Figueiredo, P. Simões, I. Natário, Intensity-Dependent Point Processes -- P. Simões, M. Lucília Carvalho, I. Figueiredo, A. Monteiro, I. Natário, Geostatistical Sampling Designs Under Preferential Sampling for Black Scabbardfish -- C. Goldstein, R. Bispo, Miguel Espinosa, Modeling Residential Adoption of Solar Photovoltaic Systems -- D. Pereira, A. Afonso, Comparison of Semiparametric Approaches to Two-way ANOVA in the Presence of Heteroscedastity -- P. Infante, A. Afonso, G. Jacinto, L. Rego, P. Nogueira, M. Silva, V. Nogueira, J. Saias, P. Quaresma, D. Santos, P. Góis, P. Rebelo Manuel, Some Determinants for Road Accidents Severity in the District of Setúbal -- J. Malato, L. Graça, N. Sepulveda, Impact of Misclassification and Imperfect Serological Tests in Association Analyses of ME/CFS Applied to COVID-19 data -- A. Fonseca, C. Cordeiro, N. Sepulveda, Identification of Immune Responses Predictive of Clinical Protection Against Malaria -- V. Velasco-Pardo, M. Papathomas, A. Lynch, Statistical Challenges in Mutational Signature Analyses of Cancer Sequencing Data -- A. Lynch, M. Smith, M. Eldridge, S. Tavaré, PCR Duplicate Proportion Estimation and Consequences for DNA Copy Number Calculations -- R. São João, A. Cardoso, T. Dias Domingues, M. Fradinho, V. Silva, A. Feliciano, A Retrospective Study on Obstructive Sleep Apnea -- R. Sousa, I. Pereira, M. E. Silva, Censored Multivariate Linear Regression Model -- A. Carvalho, D. Vaz, T. Silva, C. Casaca, A Methodology to Reveal Terrain Effects from Wind Farm SCADA Data Using a Wind Signature Sousa Concept -- M. C. Miranda, Robust FGLS estimator for Panel Data -- I. Sousa-Ferreira, C. Rocha, A. M. Abreu, The Extended Chen–Poisson Marginal Rate Model for Recurrent Gap Time Data -- E. Bernieri, Miguel de Carvalho, On Classical Measurement Error Within a Bayesian Nonparametric Framework This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021). Containing state-of-the-art developments in theoretical and applied statistics, the book will be accessible to readers with a background in mathematics and statistics, but will also be of interest to researchers from other scientific disciplines (e.g., biology, economics, medicine), who will find a broad range of relevant applications HTTP:URL=https://doi.org/10.1007/978-3-031-12766-3

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