Mathematical Supplement

Dirk P. Kroese and Joshua Chan
Additional contact information
Dirk P. Kroese: The University of Queensland, School of Mathematics and Physics

Chapter Appendix B in Statistical Modeling and Computation, 2014, pp 367-372 from Springer

Abstract: Abstract For a real-valued multivariate function $$f(x_{1},\ldots,x_{n})$$ the partial derivative with respect to x i , denoted $$\frac{\partial f} {\partial x_{i}}$$ or simply $$\partial _{i}f$$ , is the derivative taken with respect to x i while all other variables are held constant. The partial derivative of ∂ i f with respect to x j is denoted $$\frac{{\partial }^{2}f} {\partial x_{i}\,\partial x_{j}}$$ or simply ∂ ij f.

Keywords: Partial Derivative; Convergence Theorem; Hessian Matrix; Dominate Convergence Theorem; Orthogonal Transformation (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8775-3_13

Ordering information: This item can be ordered from
http://www.springer.com/9781461487753

DOI: 10.1007/978-1-4614-8775-3_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().