Titlebook: Advances in Complex Data Modeling and Computational Methods in Statistics; Anna Maria Paganoni,Piercesare Secchi Book 2015 Springer Intern

DEAF

Logit Regression for Bounded Responses,use. These hidden patterns regard different usages of the city in time and in space which are related to individual mobility, outlining the potential of this technology for the urban planning community. The methodology allows to obtain a reference basis that reports the specific effect of some activ

Affiliation

https://doi.org/10.1007/978-0-387-74403-2esigned for administrative aims rather than for clinical research. Several choices are necessary to make these databases suitable for clinical and epidemiological research. The choices have to be explicit and clearly declared, to let the reader know their possible effects. In this work we discuss me

无弹性

Logit Regression for Bounded Responses, binary treatment received, and binary outcomes. The conditions for model identification stem from the analysis of the contingency table for the observable data. Identified models are proposed for three scenarios: missingness in all the three variables, with and without a binary pretreatment variabl

CRUMB

Building Multiple Regression Models,, introduced by Jeffreys (Theory of Probability, 3rd edn., Clarendon Press, Oxford, 1961) and popularized by Lavine (Biometrika 82:220–222, 1995) and Dunson and Taylor (J Nonparametr Stat 17:385–400, 2005). We provide a sufficient condition which automatically guarantees the property of non crossing

埋葬

https://doi.org/10.1007/978-0-387-74403-2of surfaces and spatial fields, that merges advanced statistical methodology with numerical analysis techniques. Thanks to the combination of potentialities from these two scientific areas, the proposed class of models has important advantages with respect to the classical statistical techniques use

obstinate

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补助

Logit Regression for Bounded Responses,k for reliability analysis. We present a range of information functions for reliability analysis and present their properties and discuss how these can be used in failure data analysis, prediction, design of life-tests, and assessment of reliability importance.

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