How are auxiliary variables used in studies of food supply chains? What is the role of auxiliary variables in research on rural livelihoods?

Whitaker, Salina Wu, "The Combined Impact of Continuous and Ordinal Auxiliary Variables on Missing Data Imputation in SEM" (2021). Electronic Theses and ... Dec 18, 2017 ... You cannot change the values of auxiliaries. The best thing to do is split the parameter into it's parts. In the first part we describe a simple technique using joint updating that improves the performance of the conventional probit regression algorithm. In the ... The data in the auxiliary file is primarily imputed from other datasets including the Medical Expenditure Panel Survey Household Component (MEPS-HC), Medical ... Publication. Hoare Logic for NanoJava: Auxiliary Variables, Side Effects and Virtual Methods revisited. Author(s): David von Oheimb, Tobias Nipkow Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Feb 19, 2016 ... If you have a function z = f(x, y), it may be helpful to introduce a temporary variable u to work with. Example: if z = (sin(x) + cos(y))3 and ... Nov 15, 2022 ... Variable z is an auxiliary variable which has the sole purpose to formulate the division as a product and make it possible to solve the underlying model with ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ...