Read e-book online Analysis and Modeling of Complex Data in Behavioral and PDF

By Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs

ISBN-10: 3319066919

ISBN-13: 9783319066912

ISBN-10: 3319066927

ISBN-13: 9783319066929

This quantity provides theoretical advancements, functions and computational tools for the research and modeling in behavioral and social sciences the place information are typically advanced to discover and examine. The not easy proposals offer a connection among statistical technique and the social area with specific realization to computational matters in an effort to successfully handle advanced information research problems.
The papers during this quantity stem from contributions first and foremost offered on the joint foreign assembly JCS-CLADAG held in Anacapri (Italy) the place the japanese type Society and the category and knowledge research team of the Italian Statistical Society had a stimulating medical dialogue and exchange.

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Modified profile likelihood for panel data models. com/abstract=2000666. Bertoli-Barsotti, L. (2005). On the existence and uniqueness of JML estimates for the partial credit model. Psychometrika, 70, 517–531. , & Punzo, A. (2012). Comparison of two bias reduction techniques for the Rasch model. Electronic Journal of Applied Statistical Analysis, 5(3), 360–366. , & Bacci, S. (2014). Identifying Guttman structures in incomplete Rasch datasets. Communications in Statistics – Theory and Methods, 43(3), 470–497.

VIC: Thomson. Plackett, R. L. (1977). The marginal totals of a 2x2 table. Biometrics, 64, 37–42. Steel, D. , Beh, E. , & Chambers, R. L. (2004). The information in aggregate data. In G. King, O. Rosen, & M. ), Ecological Inference: New Methodological Strategies (pp. 51– 68). Cambridge: Cambridge University Press. , Beh, E. , & Hudson, I. L. (2012). The aggregate association index and its application in the 1893 New Zealand election. In: Proceedings of the 5th ASEARC Conference (pp. 22–25). Wakefield, J.

In a variant of this analysis, for each dataset the item parameters were randomly selected from a uniform distribution on the same interval (the results were quite similar and are not reported here). The precision of the parameter with the empirical mean squared error Pestimates P k wasestassessed 100 2 MSE D 100 1 (“ “ ) , here used as an index (less is better) of ij jD1 i D 1 ij the total error of estimation, which could reflect the amount of bias, the amount of standard error, or both. Table 2 gives the results.

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Analysis and Modeling of Complex Data in Behavioral and Social Sciences by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs


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