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SPSS Statistics 17.0 : statistical procedures companion / Marija J. Norusis Publication: Upper Saddle River : Prentice Hall, 2008Description: 630 p. +
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Qualitative data analysis / Matthew B. Miles, A. Michael Huberman Publication: Thousand Oaks : London : New Delhi : SAGE, 1994Description: XIV, p. 338 :
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New advances in statistical modeling and applications / António Pacheco; Rui Santos; Maria do Rosário Oliveira; Carlos Daniel Paulino Piece-Analytic Level: Évora residents and sports activity • Table-graph: a new approach to visualize multivariate data. Analysis of chronic diseases in Portugal • Forecast intervals with Boot.EXPOS • Using INLA to estimate a highly dimensional spatial model for forest fires in Portugal • Volatility and returns of the main stock indices • Hierarchical normal mixture model to analyse HIV / AIDS LOS • Brugada syndrome diagnosis: three approaches to combining diagnostIc markers • The traveling salesman problem and the Gnedenko Theorem • Application of the theory of extremes to the study of precitipation in Madeira Island: statistical choice of estreme domains of attraction • Tail dependence of a pareto process • The MOP EVI-estimator revisited • Extremal quantiles, value-at-risk, quasi-PORT and DPOT • Peaks over random threshold asymptotically best linear estimation of the extreme value index • A semi-parametric estimator of a shape second-order parameter • Valuation of bond options under the CIR model: some computational remarks • Individual growth in a random environment: an optimization problem • Consequences of an incorrect model specification on population growth • Modeling human population death rates: a bi-dimensional stochastic gompertz model with correlated wiener processes • Nearest neighbor connectivity on two-dimensional multihop MANETs • Cantor sets with random repair • Testing serial correlation isung the Gauss-Newton regression • Testing the maximum by the mean in quantitative group tests • Robust functional principal component analysis • Resampling methodologies in the field of statistics of univariate extremes • Ouliers: the strength of minors • The non-mathematical side of statisticsPublication: Heidelberg : Springer, 2014Description: 283 pAvailability:
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Handbook of developmental research methods / Eds. Brett Laursen, Todd D. Little, Noel A. Card Piece-Analytic Level: Planned missingdata designs for developmental research • Dynamic systems • Epidemic models of the onset of social activities: applications to adolescents sexuality, smoking, drinking, and religious involvement • Evaluating gene-environment interplay • Meta-analysis in developmental science • Cluster analysis and latent class clustering techniques • Configural frequency analysis in developmental research • Actor-based model for network and behavior dynamics • Analysis of static social networks and their developmental effects • Applying the social reactions model to developmental research • Dyadic data analysis in a developmental context • Foundational issues in nonindependent data analysis • Multilevel structural equation modeling • Longitudinal mixture models and the identification of archetypes • Group-based trajectory modeling in developmental science • Nonlinear growth modeling • Growth curve modeling from a multilevel model perspective • Growth curve modeling from a structural equation modeling perspective • Foundational issues in the contemporary modeling of longitudinal trajectories • Hazzard, event history, and survival modeling • P-Technique factor analysis • Dynamic factor analysis and control of developmental processes • Foundational issues in intraindividual longitudinal analysis • Meditation models, for developmental data • Analyzing change between two or more groups: analysis of variance versus analysis of covariance • Autoregressive and cross-lagged panel analysis for longitudinal data • Analysis of experimental and quasi-experimental data: pin pointing explanations • Foundational issues in investigating development as interindividual variation • Peer ratings • Retrospective methods in developmental science • Collecting and analysing longitudinal diary data • The use of large-scale data sets for study of developmental science • Foundational issues in longitudinal data collection • Investigating factorial invariance in longitudinal data • The impact of scaling and measurement methods on individual differences in growth • Event frequency measurement • Tome-scale-dependent longitudinal designs • Accelerated longitudinal designs • Causal inference, identification and plausability • Foundational issues of design and measurement in developmental researchPublication: New York : The Guilford Press, 2012Description: 788 pAvailability:
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