06968nam 2200565 450 99649986670331620230512105114.03-031-12778-1(MiAaPQ)EBC7150606(Au-PeEL)EBL7150606(CKB)25510411700041(OCoLC)1352970190(PPN)266351026(EXLCZ)992551041170004120230416d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInterdisciplinary statistics in Mexico AME virtual meeting, September 10-11, 2020, and 34 FNE, Acatlán, Mexico, September 22-24, 2021 /Isadora Antoniano-Villalobos [and three others] editorsCham, Switzerland :Springer,[2022]©20221 online resource (234 pages)Springer proceedings in mathematics & statistics ;Volume 397Print version: Antoniano-Villalobos, Isadora Interdisciplinary Statistics in Mexico Cham : Springer International Publishing AG,c2023 9783031127779 Includes bibliographical references and index.Intro -- Preface -- Contents -- A Methodological Proposal to Model and Evaluate the Complexity of the Mexican Geo-Electoral System -- 1 Introduction -- 2 Methodological Framework -- 2.1 Conceptualization of Electoral Complexity -- 2.2 Statistical Indicators for Quantifying Electoral Complexity -- 2.3 Data Transformation, Electoral Complexity Indices, and Stratification -- 3 ECI Construction and Stratification -- 3.1 Exploratory Analysis and PCA Implementation -- 3.2 Clustering Analysis and Stratification with K-Means -- 4 Electoral Complexity Ranking and Stratification Results -- 5 Conclusions -- References -- A Spatial Analysis of Drug Dealing in Mexico City -- 1 Introduction -- 2 Background -- 2.1 Drug Dealing as Part of Organized Crime -- 2.2 Research Approaches -- 3 Methodology -- 4 Results -- 4.1 Univariate Global and Local Moran's I -- 4.2 Bivariate Global and Local Moran's I -- 5 Discussion and Conclusions -- References -- Bayesian Hierarchical Multinomial Modeling of the 2021 Mexican Election Outcomes with Censored Samples -- 1 Introduction -- 2 Background -- 2.1 Estimation Methods in the 2021 Quick Count -- 2.2 NBM Model Background -- 2.3 The Bias Problem -- 3 The NBM Model -- 3.1 Specification -- 3.2 Consistency of Our Modeling Assumptions -- 3.3 Fitting Procedure -- 3.4 Model Adequacy -- 4 The 2021 Mexican Elections -- 4.1 Data and Sample Design -- 4.2 Results -- 5 Conclusions and Future Work -- References -- Assessing Hospitalization for SARS-CoV-2 Confirmed Cases by a Cross-Entropy Weighted Ensemble Classifier -- 1 Introduction -- 2 Material -- 2.1 Dataset Description -- 2.2 Data Analysis -- 3 Cross-entropy Weighted Ensemble Classifier -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Emotion Analysis to Identify Risk of Committing Suicide Using Statistical Learning -- 1 Background -- 2 Materials and Methods.2.1 Emotion Mining -- 2.2 Statistical Learning Methods -- 2.3 Training and Test Datasets -- 3 Results -- 3.1 Supervised Models -- 3.2 Unsupervised Model -- 3.3 Model Comparison -- 3.4 Testing the Models with a New Test Set: COVID-19 -- 4 Conclusions -- References -- Characterizing Groups Using Latent Class Mixed Models: Antiretroviral Treatment Adherence Analysis -- 1 Introduction -- 2 Materials -- 2.1 Population -- 2.2 Data Collection -- 2.3 ART Adherence Definition -- 3 Latent Class Mixture Models -- 4 Results -- 4.1 Latent Classes from ART Adherence -- 4.2 Latent Classes for Bivariate Response of CD4/CD8 Ratio and CD4+T Within Groups of Adherence -- 5 Discussion and Conclusions -- References -- A Dynamic Model for Analyzing the Public Health Policy of the Mexican Government During the COVID-19 Pandemic -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 SIRD Model -- 3.2 Transmission Rate Model -- 3.3 Recovery Rate Estimation -- 3.4 Bayesian Inference -- 4 Results -- 5 Conclusions -- References -- Social Lag in the Municipalities of the State of Guerrero, México -- 1 Introduction -- 2 Methodology -- 2.1 CONEVAL -- 2.2 Clustering -- 3 Application -- 4 Results -- 4.1 CONEVAL -- 4.2 Cluster -- 4.3 Comparison -- 5 Conclusions -- References -- Challenges in Performing the Quick Counts of the National Electoral Institute in Mexico -- 1 Introduction -- 2 The Model -- 3 The Code -- 3.1 The Functional Code -- 3.2 First Idea: Use the Sample Design -- 3.3 Second Idea: Reach Out to the Community -- 4 Concluding Remarks -- References -- Sampling Design and Poststratification to Correct Lack of Information in Bayesian Quick Counts -- 1 Introduction -- 2 Model and Specifications -- 3 Sample Design -- 4 Incomplete Sample Estimation -- 4.1 General Strategy -- 4.2 Poststratification -- 4.3 Credibility Level Correction -- 5 Election Day -- 6 Conclusions.References -- Maximum Likelihood Estimation for a Markov-Modulated Jump-Diffusion Model -- 1 Introduction -- 2 Markov-Modulated Jump-Diffusion Model -- 3 Methodology for the Maximum Likelihood Estimators -- 3.1 Identify the Jumps of the MJP -- 3.2 Estimate the Distribution of the Jumps -- 3.3 Estimate the Coefficients of the GBM -- 3.4 MLE of Q -- 4 Simulation Study -- 5 Real Data -- 6 Conclusions -- References -- Estimating the Composition of the Chamber of Deputies in the Quick Count for the 2021 Federal Election in Mexico -- 1 Introduction -- 1.1 The Quick Count -- 2 The Chamber of Deputies -- 2.1 Conformation -- 3 Estimation -- 3.1 Sampling Design -- 3.2 Bootstrap Estimation -- 4 Incomplete Samples -- 4.1 Multiple Imputation -- 5 Election Day: June 6, 2021 -- 5.1 Election Day Strategy -- 5.2 Arrival of Information -- 5.3 Estimations -- 6 Discussion -- A Appendix: Transforming Votes into Seats in the Deputy Chamber -- A.1 Relative Majority -- A.2 Voting Types Considered in the Law -- A.3 Proportional Representation -- References -- Bayesian Analysis of Homicide Rates in Mexico from 2000 to 2012 -- 1 Introduction -- 2 Literature Review -- 3 Data -- 4 Model Specification -- 5 Analysis and Results -- 6 Concluding Remarks -- References -- Index.Springer proceedings in mathematics & statistics ;Volume 397.Mathematical statisticsMathematical statisticsCongressesStatisticsEstadística matemàticathubCongressosthubLlibres electrònicsthubMathematical statistics.Mathematical statisticsStatistics.Estadística matemàtica519.5Antoniano-Villalobos IsadoraMiAaPQMiAaPQMiAaPQBOOK996499866703316Interdisciplinary statistics in Mexico3088833UNISA01214nam0 22002891i 450 VAN002295520040907120000.020040907d1979 |0itac50 baitaIT|||| |||||ˆLo ‰sviluppo della nozione di tempo nel bambinoJean Piagetpresentazione di Maria Silvia Barbieri e Laura RuozziFirenzeLa nuova Italia1979XXXII, 300 p.21 cm.001VAN00158352001 Problemi di psicologia210 FirenzeLa nuova Italia.68FirenzeVANL000014PiagetJeanVANV01375424722BarbieriMaria S.VANV019137RuozziLauraVANV019138La nuova Italia <editore>VANV107993650Barbieri, Maria SilviaBarbieri, Maria S.VANV070726ITSOL20230915RICABIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIAIT-CE0119VAN16VAN0022955BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIA16CONS 1645 16VS 2466 20040907 Sviluppo della nozione di tempo nel bambino166897UNICAMPANIA03500nam 22006975u 450 991015765830332120211006145119.097833180366713318036676(CKB)3780000000101724(OCoLC)1046112482(SZ-BaSKA)223061(MiAaPQ)EBC31865775(Au-PeEL)EBL31865775(EXLCZ)99378000000010172420211006d1996 uy 0engurunu|||||txtrdacontentcrdamediacrrdacarrierMelatonin: A Universal Photoperiodic Signal with Diverse Actions : International Symposium, Hong Kong, September 1995 / editors, P.L. Tang, S.F. Pang, R.J. Reiter1st ed.Basel : S. Karger, 19961 online resource (VIII + 208 pages) : 30 figures, 9 tablesIssn Series9783805563444 3805563442 978-3-8055-6344-4_Cover -- 978-3-8055-6344-4_00I -- 978-3-8055-6344-4_001 -- 978-3-8055-6344-4_007 -- 978-3-8055-6344-4_014 -- 978-3-8055-6344-4_024 -- 978-3-8055-6344-4_030 -- 978-3-8055-6344-4_042 -- 978-3-8055-6344-4_051 -- 978-3-8055-6344-4_060 -- 978-3-8055-6344-4_071 -- 978-3-8055-6344-4_084 -- 978-3-8055-6344-4_090 -- 978-3-8055-6344-4_101 -- 978-3-8055-6344-4_115 -- 978-3-8055-6344-4_123 -- 978-3-8055-6344-4_133 -- 978-3-8055-6344-4_147 -- 978-3-8055-6344-4_154 -- 978-3-8055-6344-4_160 -- 978-3-8055-6344-4_167 -- 978-3-8055-6344-4_174 -- 978-3-8055-6344-4_180 -- 978-3-8055-6344-4_186 -- 978-3-8055-6344-4_199 -- 978-3-8055-6344-4_203.This timely publication describes several newly identified functions of melatonin and discusses the findings in terms of melatonin’s actions on the neuroendocrine axis, the immune system, the gastrointestinal tract, and the pulmonary and cardiovascular systems in organisms ranging from unicellular animals to humans. Containing the most recent experimental data on the receptors which mediate the effects of the pineal hormone melatonin, this volume shows that melatonin receptors are more widely distributed than originally thought and exhibit wide species variations in terms of their distribution and density. In addition, multiple subtypes of melatonin receptors are identified. These findings indicate that melatonin is a ubiquitously-acting molecule which mediates a variety of physiologically important actions.Issn SeriesMelatoninEndocrinologyBiochemistryCardiovascular SystemGastroenterologyImmunologyMolecular BiologyNeuroendocrinologyPhysiologyRespiratory SystemEndocrinologyBiochemistryCardiovascular SystemGastroenterologyImmunologyMolecular BiologyNeuroendocrinologyPhysiologyRespiratory System612.4/9Tang P.LTang P. L(Pak-li)1232238Pang S. F(Shiu-fun)1232239Reiter Russel J1232240UKSKGUKSKGBOOK9910157658303321Melatonin: A Universal Photoperiodic Signal with Diverse Actions2861053UNINA