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Titlebook: Ordinal Data Modeling; Valen E. Johnson,James H. Albert Textbook 1999 Springer Science+Business Media New York 1999 Bayesian inference.DEX

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Valen E. Johnson,James H. Albert reflect an increasing need for technologies enabling applications in diverse areas, as well as interactions between continuously increasing numbers of connected devices. Important participants in making M2M systems widely used and applicable in numerous real-life scenarios are standardization organ
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Valen E. Johnson,James H. Albertng objects, networks of cars and other vehicles, networks of people moving in the cities, and networks of robots sensing the environment or performing coordinated actions. Clustering of such objects increases the scalability of the network and improves efficiency, enabling the objects to simplify th
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data sources contain inconsistent or conflicting information that is exposed by the target constraints at hand. In such cases, the semantics of target queries trivialize, because the certain answers of every target query over the given source instance evaluate to “true”. The aim of this paper is to
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978-1-4757-7290-6Springer Science+Business Media New York 1999
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Ordinal Data Modeling978-0-387-22702-3Series ISSN 2199-7357 Series E-ISSN 2199-7365
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Statistics for Social and Behavioral Scienceshttp://image.papertrans.cn/o/image/703669.jpg
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https://doi.org/10.1007/b98832Bayesian inference; DEX; Statistica; computation; data model; data modelling; framework; likelihood; modelin
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Design of Non-volatile SRAM Cell Using Memristor,NvSRAM cell. This cell incorporates two memristors which store the bit information present in the 6T SRAM Latch, and a 1T switch which helps to restore the previously written bit in situations of power supply failures, thereby making the SRAM non-volatile.
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