文件名: Statistics for Social and Behavioral Sciences Part A.rar
本附件包括:
(Statistics for Social and Behavioral Sciences) Advances in Meta-Analysis-Springer-Verlag New York (2012).pdf
(Statistics for Social and Behavioral Sciences) Bayesian Evaluation of Informative Hypotheses -Springer (2008).pdf
(Statistics for Social and Behavioral Sciences) Bayesian Item Response Modeling_ Theory and Applications(2010).pdf
(Statistics for Social and Behavioral Sciences) Bayesian Networks in Educational Assessment-Springer (2015).pdf
(Statistics for social and behavioral Sciences) Ecosystem Geography_ From Ecoregions to Sites(2009).pdf
(Statistics for Social and Behavioral Sciences) Elements of Adaptive Testing-Springer-Verlag New York (201.pdf
(Statistics for Social and Behavioral Sciences) Introduction to Applied Bayesian Statistics and Estimation for Social Scientists.pdf
(Statistics for Social and Behavioral Sciences) Linear Models for Optimal Test Design(2005).pdf
(Statistics for Social and Behavioral Sciences) Linking and Aligning Scores and Scales-S.pdf
(Statistics for Social and Behavioral Sciences) Living Standards Analytics_ Development through the Lens of Household Survey Data(2011).pdf
(Statistics for Social and Behavioral Sciences) Marginal Models_ For Dependent, Clustered, and Longitudinal Categorical Data -Springer (2009).pdf
(Statistics for Social and Behavioral Sciences) Missing Data and Small-area Estimation_ Modern Analytical Equipment for the Survey Statistician(2005).pdf
(Statistics for Social and Behavioral Sciences) Missing Data_ Analysis and Design(2012).pdf
(Statistics for Social and Behavioral Sciences) Multidimensional Item Response Theory(2009).pdf
(Statistics for social and behavioral sciences) Multivariate and mixture distribution Rasch (2007).pdf
(Statistics for Social and Behavioral Sciences) Ordinal Data Modeling-Springer (1999).pdf
(Statistics for Social and Behavioral Sciences) Practical Considerations in Computer-Based Testing(200.pdf
(Statistics for Social and Behavioral Sciences) Practical Tools for Designing and Weighting Survey Samples(2013).pdf
(Statistics for Social and Behavioral Sciences) Projection matrices, generalized inverse matrices, and singular value decomposition(2011).pdf
(Statistics for Social and Behavioral Sciences) Relative Distribution Methods in the Social Sciences (1999).pdf