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Statistical Modeling Using Backward Propagation of Variance (BPV)

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Compact Modeling

Abstract

This chapter reviews statistical modeling for circuit simulation, with an emphasis on the backward propagation of variance (BPV) technique. Sources of variability are reviewed, and a formulation based on uncorrelated process parameters is presented. A general procedure for modeling variances of electrical performances is detailed, including handling of nonlinearities and correlations, and numerical properties of the procedure are discussed. Approaches to generating corner models are reviewed, and the importance of properly modeling correlations is demonstrated.

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Authors and Affiliations

  1. Freescale Semiconductor, Tempe, AZ, 85284, USA

    Colin C. McAndrew

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  1. Colin C. McAndrew
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Correspondence to Colin C. McAndrew .

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Editors and Affiliations

  1. , Sch Elect Comptr & Energy Engr, Arizona State University, University Drive and Mill Avenue, Tempe, 85287-9309, Arizona, USA

    Gennady Gildenblat

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McAndrew, C.C. (2010). Statistical Modeling Using Backward Propagation of Variance (BPV). In: Gildenblat, G. (eds) Compact Modeling. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8614-3_16

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  • DOI: https://doi.org/10.1007/978-90-481-8614-3_16

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8613-6

  • Online ISBN: 978-90-481-8614-3

  • eBook Packages: EngineeringEngineering (R0)

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